Publications
Publications
Articles
Articles
9823540
5JEGL34W
items
1
0
date
desc
1
1
89
https://duncanjwatts.com/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3A%22zotpress-fcd8da853d4eea361bad49ea6cf3a711%22%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%225MTUIUAV%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Muise%20et%20al.%22%2C%22parsedDate%22%3A%222022-07-13%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMuise%2C%20D.%2C%20Hosseinmardi%2C%20H.%2C%20Howland%2C%20B.%2C%20Mobius%2C%20M.%2C%20Rothschild%2C%20D.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282022%29.%20Quantifying%20partisan%20news%20diets%20in%20Web%20and%20TV%20audiences.%20%3Ci%3EScience%20Advances%3C%5C%2Fi%3E%2C%20%3Ci%3E8%3C%5C%2Fi%3E%2828%29%2C%20eabn0083.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1126%5C%2Fsciadv.abn0083%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1126%5C%2Fsciadv.abn0083%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D5MTUIUAV%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3D28I4N9IA%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantifying%20partisan%20news%20diets%20in%20Web%20and%20TV%20audiences%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Muise%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Homa%22%2C%22lastName%22%3A%22Hosseinmardi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Baird%22%2C%22lastName%22%3A%22Howland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Markus%22%2C%22lastName%22%3A%22Mobius%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Rothschild%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22Partisan%20segregation%20within%20the%20news%20audience%20buffers%20many%20Americans%20from%20countervailing%20political%20views%2C%20posing%20a%20risk%20to%20democracy.%20Empirical%20studies%20of%20the%20online%20media%20ecosystem%20suggest%20that%20only%20a%20small%20minority%20of%20Americans%2C%20driven%20by%20a%20mix%20of%20demand%20and%20algorithms%2C%20are%20siloed%20according%20to%20their%20political%20ideology.%20However%2C%20such%20research%20omits%20the%20comparatively%20larger%20television%20audience%20and%20often%20ignores%20temporal%20dynamics%20underlying%20news%20consumption.%20By%20analyzing%20billions%20of%20browsing%20and%20viewing%20events%20between%202016%20and%202019%2C%20with%20a%20novel%20framework%20for%20measuring%20partisan%20audiences%2C%20we%20first%20estimate%20that%2017%25%20of%20Americans%20are%20partisan-segregated%20through%20television%20versus%20roughly%204%25%20online.%20Second%2C%20television%20news%20consumers%20are%20several%20times%20more%20likely%20to%20maintain%20their%20partisan%20news%20diets%20month-over-month.%20Third%2C%20TV%20viewers%5Cu2019%20news%20diets%20are%20far%20more%20concentrated%20on%20preferred%20sources.%20Last%2C%20partisan%20news%20channels%5Cu2019%20audiences%20are%20growing%20even%20as%20the%20TV%20news%20audience%20is%20shrinking.%20Our%20results%20suggest%20that%20television%20is%20the%20top%20driver%20of%20partisan%20audience%20segregation%20among%20Americans.%22%2C%22date%22%3A%222022-07-13%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1126%5C%2Fsciadv.abn0083%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.science.org%5C%2Fdoi%5C%2Ffull%5C%2F10.1126%5C%2Fsciadv.abn0083%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T14%3A18%3A14Z%22%7D%7D%2C%7B%22key%22%3A%22ZXGPIIY8%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Salganik%20et%20al.%22%2C%22parsedDate%22%3A%222022-06-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESalganik%2C%20M.%20J.%2C%20Dodds%2C%20P.%20S.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282022%29.%20%3Ci%3EExperimental%20study%20of%20inequality%20and%20unpredictability%20in%20an%20artificial%20cultural%20market%3C%5C%2Fi%3E.%20Edward%20Elgar%20Publishing.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.elgaronline.com%5C%2Fview%5C%2Fbook%5C%2F9781789909432%5C%2Fbook-part-9781789909432-32.xml%27%3Ehttps%3A%5C%2F%5C%2Fwww.elgaronline.com%5C%2Fview%5C%2Fbook%5C%2F9781789909432%5C%2Fbook-part-9781789909432-32.xml%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DZXGPIIY8%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22book%22%2C%22title%22%3A%22Experimental%20study%20of%20inequality%20and%20unpredictability%20in%20an%20artificial%20cultural%20market%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%20J.%22%2C%22lastName%22%3A%22Salganik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%20Sheridan%22%2C%22lastName%22%3A%22Dodds%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22Hit%20songs%2C%20books%2C%20and%20movies%20are%20many%20times%20more%20successful%20than%20average%2C%20suggesting%20that%20%5C%22the%20best%5C%22%20alternatives%20are%20qualitatively%20different%20from%20%5C%22the%20rest%5C%22%3B%20yet%20experts%20routinely%20fail%20to%20predict%20which%20products%20will%20succeed.%20We%20investigated%20this%20paradox%20experimentally%2C%20by%20creating%20an%20artificial%20%5C%22music%20market%5C%22%20in%20which%2014%2C341%20participants%20downloaded%20previously%20unknown%20songs%20either%20with%20or%20without%20knowledge%20of%20previous%20participants%27%20choices.%20Increasing%20the%20strength%20of%20social%20influence%20increased%20both%20inequality%20and%20unpredictability%20of%20success.%20Success%20was%20also%20only%20partly%20determined%20by%20quality%3A%20The%20best%20songs%20rarely%20did%20poorly%2C%20and%20the%20worst%20rarely%20did%20well%2C%20but%20any%20other%20result%20was%20possible.%22%2C%22date%22%3A%222022%5C%2F06%5C%2F10%22%2C%22language%22%3A%22eng%22%2C%22ISBN%22%3A%22978-1-78990-943-2%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.elgaronline.com%5C%2Fview%5C%2Fbook%5C%2F9781789909432%5C%2Fbook-part-9781789909432-32.xml%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T14%3A19%3A14Z%22%7D%7D%2C%7B%22key%22%3A%224RD32I9D%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Stefano%5Cu00a0Balietti%2C%5Cu00a0Lise%5Cu00a0Getoor%2C%5Cu00a0Daniel%20G.%5Cu00a0Goldstein%2C%5Cu00a0Duncan%20J.%5Cu00a0Watts%22%2C%22parsedDate%22%3A%222021-12-22%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EStefano%26%23xA0%3BBalietti%2C%26%23xA0%3BLise%26%23xA0%3BGetoor%2C%26%23xA0%3BDaniel%20G.%26%23xA0%3BGoldstein%2C%26%23xA0%3BDuncan%20J.%26%23xA0%3BWatts.%20%282021%2C%20December%2022%29.%20%3Ci%3EReducing%20opinion%20polarization%3A%20Effects%20of%20exposure%20to%20similar%20people%20with%20differing%20political%20views%20%7C%20PNAS%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.2112552118%27%3Ehttps%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.2112552118%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D4RD32I9D%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Reducing%20opinion%20polarization%3A%20Effects%20of%20exposure%20to%20similar%20people%20with%20differing%20political%20views%20%7C%20PNAS%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Stefano%5Cu00a0Balietti%2C%5Cu00a0Lise%5Cu00a0Getoor%2C%5Cu00a0Daniel%20G.%5Cu00a0Goldstein%2C%5Cu00a0Duncan%20J.%5Cu00a0Watts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2212%5C%2F22%5C%2F2021%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.2112552118%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A01%3A10Z%22%7D%7D%2C%7B%22key%22%3A%22AUZYFZVQ%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Almaatouq%20et%20al.%22%2C%22parsedDate%22%3A%222021-12-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAlmaatouq%2C%20A.%2C%20Becker%2C%20J.%2C%20Bernstein%2C%20M.%2C%20Botto%2C%20R.%2C%20Bradlow%2C%20E.%2C%20Damer%2C%20E.%2C%20Duckworth%2C%20A.%2C%20Griffiths%2C%20T.%2C%20Hartshorne%2C%20J.%2C%20Law%2C%20E.%2C%20Lazer%2C%20D.%2C%20Liu%2C%20M.%2C%20Matias%2C%20J.%20N.%2C%20Rand%2C%20D.%2C%20Salganik%2C%20M.%2C%20Satlof-Bedrick%2C%20E.%2C%20Schweitzer%2C%20M.%2C%20Shirado%2C%20H.%2C%20Suchow%2C%20J.%2C%20%26%23x2026%3B%20Yin%2C%20M.%20%282021%29.%20%3Ci%3EScaling%20up%20experimental%20social%2C%20behavioral%2C%20and%20economic%20science%3C%5C%2Fi%3E.%20OSF%20Preprints.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.31219%5C%2Fosf.io%5C%2Fwksv8%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.31219%5C%2Fosf.io%5C%2Fwksv8%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DAUZYFZVQ%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3DSVD9JVGX%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22preprint%22%2C%22title%22%3A%22Scaling%20up%20experimental%20social%2C%20behavioral%2C%20and%20economic%20science%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abdullah%22%2C%22lastName%22%3A%22Almaatouq%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22Becker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Bernstein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%22%2C%22lastName%22%3A%22Botto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eric%22%2C%22lastName%22%3A%22Bradlow%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ekaterina%22%2C%22lastName%22%3A%22Damer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Angela%22%2C%22lastName%22%3A%22Duckworth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tom%22%2C%22lastName%22%3A%22Griffiths%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22Hartshorne%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Edith%22%2C%22lastName%22%3A%22Law%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Lazer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Min%22%2C%22lastName%22%3A%22Liu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%20Nathan%22%2C%22lastName%22%3A%22Matias%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Rand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%22%2C%22lastName%22%3A%22Salganik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emma%22%2C%22lastName%22%3A%22Satlof-Bedrick%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maurice%22%2C%22lastName%22%3A%22Schweitzer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hirokazu%22%2C%22lastName%22%3A%22Shirado%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jordan%22%2C%22lastName%22%3A%22Suchow%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Siddharth%22%2C%22lastName%22%3A%22Suri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Milena%22%2C%22lastName%22%3A%22Tsvetkova%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mark%20E.%22%2C%22lastName%22%3A%22Whiting%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ming%22%2C%22lastName%22%3A%22Yin%22%7D%5D%2C%22abstractNote%22%3A%22The%20standard%20experimental%20paradigm%20in%20the%20social%2C%20behavioral%2C%20and%20economic%20sciences%20is%20extremely%20limited.%20Although%20recent%20advances%20in%20digital%20technologies%20and%20crowdsourcing%20services%20allow%20individual%20experiments%20to%20be%20deployed%20and%20run%20faster%20than%20in%20traditional%20physical%20labs%2C%20a%20majority%20of%20experiments%20still%20focus%20on%20one-off%20results%20that%20do%20not%20generalize%20easily%20to%20real-world%20contexts%20or%20even%20to%20other%20variations%20of%20the%20same%20experiment.%20As%20a%20result%2C%20there%20exist%20few%20universally%20acknowledged%20findings%2C%20and%20even%20those%20are%20occasionally%20overturned%20by%20new%20data.%20We%20argue%20that%20to%20achieve%20replicable%2C%20generalizable%2C%20scalable%20and%20ultimately%20useful%20social%20and%20behavioral%20science%2C%20a%20fundamental%20rethinking%20of%20the%20model%20of%20virtual-laboratory%20style%20experiments%20is%20required.%20Not%20only%20is%20it%20possible%20to%20design%20and%20run%20experiments%20that%20are%20radically%20different%20in%20scale%20and%20scope%20than%20was%20possible%20in%20an%20era%20of%20physical%20labs%3B%20this%20ability%20allows%20us%20to%20ask%20fundamentally%20different%20types%20of%20questions%20than%20have%20been%20asked%20historically%20of%20lab%20studies.%20We%20posit%2C%20however%2C%20that%20taking%20full%20advantage%20of%20this%20new%20and%20exciting%20potential%20will%20require%20four%20major%20changes%20to%20the%20infrastructure%2C%20methodology%2C%20and%20culture%20of%20experimental%20science%3A%20%281%29%20significant%20investments%20in%20software%20design%20and%20participant%20recruitment%2C%20%282%29%20innovations%20in%20experimental%20design%20and%20analysis%20of%20experimental%20data%2C%20%283%29%20adoption%20of%20new%20models%20of%20collaboration%2C%20and%20%284%29%20a%20new%20understanding%20of%20the%20nature%20and%20role%20of%20theory%20in%20experimental%20social%20and%20behavioral%20science.%20We%20conclude%20that%20the%20path%20we%20outline%2C%20although%20ambitious%2C%20is%20well%20within%20the%20power%20of%20current%20technology%20and%20has%20the%20potential%20to%20facilitate%20a%20new%20class%20of%20scientific%20advances%20in%20social%2C%20behavioral%20and%20economic%20studies.%5Cn%5CnThis%20paper%20emerged%20from%20discussions%20at%20a%20workshop%20held%20by%20the%20Computational%20Social%20Science%20Lab%20at%20the%20University%20of%20Pennsylvania%20in%20January%202020.%20The%20work%20was%20supported%20by%20James%20and%20Jane%20Manzi%20Analytics%20Fund%20and%20the%20Alfred%20P.%20Sloan%20Foundation.%22%2C%22genre%22%3A%22%22%2C%22repository%22%3A%22OSF%20Preprints%22%2C%22archiveID%22%3A%22%22%2C%22date%22%3A%222021-12-08T03%3A17%3A21.832Z%22%2C%22DOI%22%3A%2210.31219%5C%2Fosf.io%5C%2Fwksv8%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fosf.io%5C%2Fwksv8%5C%2F%22%2C%22language%22%3A%22en-us%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A16%3A40Z%22%7D%7D%2C%7B%22key%22%3A%22ZRRNNVW6%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Abdullah%20Almaatouq%2C%20Mohammed%20Alsobay%2C%20Ming%20Yin%2C%20and%20Duncan%20J.%20Watts%22%2C%22parsedDate%22%3A%222021-09-21%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAbdullah%20Almaatouq%2C%20Mohammed%20Alsobay%2C%20Ming%20Yin%2C%20and%20Duncan%20J.%20Watts.%20%282021%2C%20September%2021%29.%20%3Ci%3ETask%20complexity%20moderates%20group%20synergy%3C%5C%2Fi%3E.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.2101062118%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DZRRNNVW6%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3DD4NA7BNJ%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Task%20complexity%20moderates%20group%20synergy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Abdullah%20Almaatouq%2C%20Mohammed%20Alsobay%2C%20Ming%20Yin%2C%20and%20Duncan%20J.%20Watts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2209%5C%2F21%5C%2F2021%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2F10.1073%5C%2Fpnas.2101062118%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A22%3A29Z%22%7D%7D%2C%7B%22key%22%3A%2228K5KH4X%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Konitzer%20et%20al.%22%2C%22parsedDate%22%3A%222021-09-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKonitzer%2C%20T.%2C%20Allen%2C%20J.%2C%20Eckman%2C%20S.%2C%20Howland%2C%20B.%2C%20Mobius%2C%20M.%2C%20Rothschild%2C%20D.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282021%29.%20Comparing%20Estimates%20of%20News%20Consumption%20from%20Survey%20and%20Passively%20Collected%20Behavioral%20Data.%20%3Ci%3EPublic%20Opinion%20Quarterly%3C%5C%2Fi%3E%2C%20%3Ci%3E85%3C%5C%2Fi%3E%28S1%29%2C%20347%26%23x2013%3B370.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Fpoq%5C%2Fnfab023%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Fpoq%5C%2Fnfab023%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D28K5KH4X%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3D9XYTTSD3%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Comparing%20Estimates%20of%20News%20Consumption%20from%20Survey%20and%20Passively%20Collected%20Behavioral%20Data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tobias%22%2C%22lastName%22%3A%22Konitzer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jennifer%22%2C%22lastName%22%3A%22Allen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stephanie%22%2C%22lastName%22%3A%22Eckman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Baird%22%2C%22lastName%22%3A%22Howland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Markus%22%2C%22lastName%22%3A%22Mobius%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Rothschild%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22Surveys%20are%20a%20vital%20tool%20for%20understanding%20public%20opinion%20and%20knowledge%2C%20but%20they%20can%20also%20yield%20biased%20estimates%20of%20behavior.%20Here%20we%20explore%20a%20popular%20and%20important%20behavior%20that%20is%20frequently%20measured%20in%20public%20opinion%20surveys%3A%20news%20consumption.%20Previous%20studies%20have%20shown%20that%20television%20news%20consumption%20is%20consistently%20overreported%20in%20surveys%20relative%20to%20passively%20collected%20behavioral%20data.%20We%20validate%20these%20earlier%20findings%2C%20showing%20that%20they%20continue%20to%20hold%20despite%20large%20shifts%20in%20news%20consumption%20habits%20over%20time%2C%20while%20also%20adding%20some%20new%20nuance%20regarding%20question%20wording.%20We%20extend%20these%20findings%20to%20survey%20reports%20of%20online%20and%20social%20media%20news%20consumption%2C%20with%20respect%20to%20both%20levels%20and%20trends.%20Third%2C%20we%20demonstrate%20the%20usefulness%20of%20passively%20collected%20data%20for%20measuring%20a%20quantity%20such%20as%20%5Cu201cconsuming%20news%5Cu201d%20for%20which%20different%20researchers%20might%20reasonably%20choose%20different%20definitions.%20Finally%2C%20recognizing%20that%20passively%20collected%20data%20suffers%20from%20its%20own%20limitations%2C%20we%20outline%20a%20framework%20for%20using%20a%20mix%20of%20passively%20collected%20behavioral%20and%20survey-generated%20attitudinal%20data%20to%20accurately%20estimate%20consumption%20of%20news%20and%20related%20effects%20on%20public%20opinion%20and%20knowledge%2C%20conditional%20on%20media%20consumption.%22%2C%22date%22%3A%222021-09-01%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1093%5C%2Fpoq%5C%2Fnfab023%22%2C%22ISSN%22%3A%220033-362X%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Fpoq%5C%2Fnfab023%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A03%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22QUQY6NKV%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hosseinmardi%20et%20al.%22%2C%22parsedDate%22%3A%222021-08-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHosseinmardi%2C%20H.%2C%20Ghasemian%2C%20A.%2C%20Clauset%2C%20A.%2C%20Mobius%2C%20M.%2C%20Rothschild%2C%20D.%20M.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282021%29.%20Examining%20the%20consumption%20of%20radical%20content%20on%20YouTube.%20%3Ci%3EProceedings%20of%20the%20National%20Academy%20of%20Sciences%3C%5C%2Fi%3E%2C%20%3Ci%3E118%3C%5C%2Fi%3E%2832%29%2C%20e2101967118.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.2101967118%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.2101967118%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DQUQY6NKV%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3DHK26YWZC%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Examining%20the%20consumption%20of%20radical%20content%20on%20YouTube%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Homa%22%2C%22lastName%22%3A%22Hosseinmardi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amir%22%2C%22lastName%22%3A%22Ghasemian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aaron%22%2C%22lastName%22%3A%22Clauset%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Markus%22%2C%22lastName%22%3A%22Mobius%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%20M.%22%2C%22lastName%22%3A%22Rothschild%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22Significance%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Daily%20share%20of%20news%20consumption%20on%20YouTube%2C%20a%20social%20media%20platform%20with%20more%20than%202%20billion%20monthly%20users%2C%20has%20increased%20in%20the%20last%20few%20years.%20Constructing%20a%20large%20dataset%20of%20users%5Cu2019%20trajectories%20across%20the%20full%20political%20spectrum%20during%202016%5Cu20132019%2C%20we%20identify%20several%20distinct%20communities%20of%20news%20consumers%2C%20including%20%5Cu201cfar-right%5Cu201d%20and%20%5Cu201canti-woke.%5Cu201d%20Far%20right%20is%20small%20and%20not%20increasing%20in%20size%20over%20the%20observation%20period%2C%20while%20anti-woke%20is%20growing%2C%20and%20both%20grow%20in%20consumption%20per%20user.%20We%20find%20little%20evidence%20that%20the%20YouTube%20recommendation%20algorithm%20is%20driving%20attention%20to%20this%20content.%20Our%20results%20indicate%20that%20trends%20in%20video-based%20political%20news%20consumption%20are%20determined%20by%20a%20complicated%20combination%20of%20user%20preferences%2C%20platform%20features%2C%20and%20the%20supply-and-demand%20dynamics%20of%20the%20broader%20web.%5Cn%20%20%20%20%20%20%20%20%20%20%2C%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Although%20it%20is%20under-studied%20relative%20to%20other%20social%20media%20platforms%2C%20YouTube%20is%20arguably%20the%20largest%20and%20most%20engaging%20online%20media%20consumption%20platform%20in%20the%20world.%20Recently%2C%20YouTube%5Cu2019s%20scale%20has%20fueled%20concerns%20that%20YouTube%20users%20are%20being%20radicalized%20via%20a%20combination%20of%20biased%20recommendations%20and%20ostensibly%20apolitical%20%5Cu201canti-woke%5Cu201d%20channels%2C%20both%20of%20which%20have%20been%20claimed%20to%20direct%20attention%20to%20radical%20political%20content.%20Here%20we%20test%20this%20hypothesis%20using%20a%20representative%20panel%20of%20more%20than%20300%2C000%20Americans%20and%20their%20individual-level%20browsing%20behavior%2C%20on%20and%20off%20YouTube%2C%20from%20January%202016%20through%20December%202019.%20Using%20a%20labeled%20set%20of%20political%20news%20channels%2C%20we%20find%20that%20news%20consumption%20on%20YouTube%20is%20dominated%20by%20mainstream%20and%20largely%20centrist%20sources.%20Consumers%20of%20far-right%20content%2C%20while%20more%20engaged%20than%20average%2C%20represent%20a%20small%20and%20stable%20percentage%20of%20news%20consumers.%20However%2C%20consumption%20of%20%5Cu201canti-woke%5Cu201d%20content%2C%20defined%20in%20terms%20of%20its%20opposition%20to%20progressive%20intellectual%20and%20political%20agendas%2C%20grew%20steadily%20in%20popularity%20and%20is%20correlated%20with%20consumption%20of%20far-right%20content%20off-platform.%20We%20find%20no%20evidence%20that%20engagement%20with%20far-right%20content%20is%20caused%20by%20YouTube%20recommendations%20systematically%2C%20nor%20do%20we%20find%20clear%20evidence%20that%20anti-woke%20channels%20serve%20as%20a%20gateway%20to%20the%20far%20right.%20Rather%2C%20consumption%20of%20political%20content%20on%20YouTube%20appears%20to%20reflect%20individual%20preferences%20that%20extend%20across%20the%20web%20as%20a%20whole.%22%2C%22date%22%3A%222021-08-10%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1073%5C%2Fpnas.2101967118%22%2C%22ISSN%22%3A%220027-8424%2C%201091-6490%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fpnas.org%5C%2Fdoi%5C%2Ffull%5C%2F10.1073%5C%2Fpnas.2101967118%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A24%3A17Z%22%7D%7D%2C%7B%22key%22%3A%22MZ7S3V58%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Allen%20et%20al.%22%2C%22parsedDate%22%3A%222021-07-26%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAllen%2C%20J.%2C%20Mobius%2C%20M.%2C%20Rothschild%2C%20D.%20M.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282021%29.%20Research%20note%3A%20Examining%20potential%20bias%20in%20large-scale%20censored%20data.%20%3Ci%3EHarvard%20Kennedy%20School%20Misinformation%20Review%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.37016%5C%2Fmr-2020-74%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.37016%5C%2Fmr-2020-74%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DMZ7S3V58%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3D4RZNQHYK%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Research%20note%3A%20Examining%20potential%20bias%20in%20large-scale%20censored%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jennifer%22%2C%22lastName%22%3A%22Allen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Markus%22%2C%22lastName%22%3A%22Mobius%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%20M.%22%2C%22lastName%22%3A%22Rothschild%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22We%20examine%20potential%20bias%20in%20Facebook%5Cu2019s%2010-trillion%20cell%20URLs%20dataset%2C%20consisting%20of%20URLs%20shared%20on%20its%20platform%20and%20their%20engagement%20metrics.%20Despite%20the%20unprecedented%20size%20of%20the%20dataset%2C%20it%20was%20altered%20to%20protect%20user%20privacy%20in%20two%20ways%3A%201%29%20by%20adding%20differentially%20private%20noise%20to%20engagement%20counts%2C%20and%202%29%20by%20censoring%20the%20data%20with%20a%22%2C%22date%22%3A%222021%5C%2F07%5C%2F26%22%2C%22language%22%3A%22en-US%22%2C%22DOI%22%3A%2210.37016%5C%2Fmr-2020-74%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fmisinforeview.hks.harvard.edu%5C%2Farticle%5C%2Fresearch-note-examining-potential-bias-in-large-scale-censored-data%5C%2F%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A24%3A45Z%22%7D%7D%2C%7B%22key%22%3A%222RA53KSR%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jake%20M.%20Hofman%2C%20Duncan%20J.%20Watts%2C%20Susan%20Athey%2C%20Filiz%20Garip%2C%20Thomas%20L.%20Griffiths%2C%20Jon%20Kleinberg%2C%20Helen%20Margetts%2C%20Sendhil%20Mullainathan%2C%20Matthew%20J.%20Salganik%2C%20Simine%20Vazire%2C%20Alessandro%20Vespignani%20%26%20Tal%20Yarkoni%22%2C%22parsedDate%22%3A%222021-06-30%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EJake%20M.%20Hofman%2C%20Duncan%20J.%20Watts%2C%20Susan%20Athey%2C%20Filiz%20Garip%2C%20Thomas%20L.%20Griffiths%2C%20Jon%20Kleinberg%2C%20Helen%20Margetts%2C%20Sendhil%20Mullainathan%2C%20Matthew%20J.%20Salganik%2C%20Simine%20Vazire%2C%20Alessandro%20Vespignani%20%26amp%3B%20Tal%20Yarkoni.%20%282021%2C%20June%2030%29.%20%3Ci%3EIntegrating%20explanation%20and%20prediction%20in%20computational%20social%20science%20%7C%20Nature%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41586-021-03659-0%27%3Ehttps%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41586-021-03659-0%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D2RA53KSR%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Integrating%20explanation%20and%20prediction%20in%20computational%20social%20science%20%7C%20Nature%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Jake%20M.%20Hofman%2C%20Duncan%20J.%20Watts%2C%20Susan%20Athey%2C%20Filiz%20Garip%2C%20Thomas%20L.%20Griffiths%2C%20Jon%20Kleinberg%2C%20Helen%20Margetts%2C%20Sendhil%20Mullainathan%2C%20Matthew%20J.%20Salganik%2C%20Simine%20Vazire%2C%20Alessandro%20Vespignani%20%26%20Tal%20Yarkoni%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2206%5C%2F30%5C%2F2021%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41586-021-03659-0%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A25%3A48Z%22%7D%7D%2C%7B%22key%22%3A%22LQNVHHG3%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Abigail%20Z.%20Jacobs%2C%20Duncan%20J.%20Watts%22%2C%22parsedDate%22%3A%222021-04-16%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAbigail%20Z.%20Jacobs%2C%20Duncan%20J.%20Watts.%20%282021%2C%20April%2016%29.%20%3Ci%3EA%20Large-Scale%20Comparative%20Study%20of%20Informal%20Social%20Networks%20in%20Firms%3C%5C%2Fi%3E.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1287%5C%2Fmnsc.2021.3997%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DLQNVHHG3%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3DDC86S6IX%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22A%20Large-Scale%20Comparative%20Study%20of%20Informal%20Social%20Networks%20in%20Firms%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Abigail%20Z.%20Jacobs%2C%20Duncan%20J.%20Watts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2204%5C%2F16%5C%2F2021%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fpubsonline.informs.org%5C%2Fdoi%5C%2Fepdf%5C%2F10.1287%5C%2Fmnsc.2021.3997%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A23%3A52Z%22%7D%7D%2C%7B%22key%22%3A%229R45XW4U%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Duncan%20J.%20Watts%2C%20David%20M.%20Rothschild%2C%20Markus%20Mobius%22%2C%22parsedDate%22%3A%222021-04-09%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDuncan%20J.%20Watts%2C%20David%20M.%20Rothschild%2C%20Markus%20Mobius.%20%282021%2C%20April%209%29.%20%3Ci%3EMeasuring%20the%20news%20and%20its%20impact%20on%20democracy%3C%5C%2Fi%3E.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.1912443118%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D9R45XW4U%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3D3XTRYCKB%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Measuring%20the%20news%20and%20its%20impact%20on%20democracy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22Duncan%20J.%20Watts%2C%20David%20M.%20Rothschild%2C%20Markus%20Mobius%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2204%5C%2F09%5C%2F2021%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2F10.1073%5C%2Fpnas.1912443118%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A27%3A09Z%22%7D%7D%2C%7B%22key%22%3A%22DIM2G32Y%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Almaatouq%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAlmaatouq%2C%20A.%2C%20Becker%2C%20J.%2C%20Houghton%2C%20J.%20P.%2C%20Paton%2C%20N.%2C%20Watts%2C%20D.%20J.%2C%20%26amp%3B%20Whiting%2C%20M.%20E.%20%282021%29.%20Empirica%3A%20a%20virtual%20lab%20for%20high-throughput%20macro-level%20experiments.%20%3Ci%3EBehavior%20Research%20Methods%3C%5C%2Fi%3E%2C%20%3Ci%3E53%3C%5C%2Fi%3E%285%29%2C%202158%26%23x2013%3B2171.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3758%5C%2Fs13428-020-01535-9%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3758%5C%2Fs13428-020-01535-9%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DDIM2G32Y%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3DQ6QFIAGX%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Empirica%3A%20a%20virtual%20lab%20for%20high-throughput%20macro-level%20experiments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abdullah%22%2C%22lastName%22%3A%22Almaatouq%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22Becker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22James%20P.%22%2C%22lastName%22%3A%22Houghton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Paton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mark%20E.%22%2C%22lastName%22%3A%22Whiting%22%7D%5D%2C%22abstractNote%22%3A%22Virtual%20labs%20allow%20researchers%20to%20design%20high-throughput%20and%20macro-level%20experiments%20that%20are%20not%20feasible%20in%20traditional%20in-person%20physical%20lab%20settings.%20Despite%20the%20increasing%20popularity%20of%20online%20research%2C%20researchers%20still%20face%20many%20technical%20and%20logistical%20barriers%20when%20designing%20and%20deploying%20virtual%20lab%20experiments.%20While%20several%20platforms%20exist%20to%20facilitate%20the%20development%20of%20virtual%20lab%20experiments%2C%20they%20typically%20present%20researchers%20with%20a%20stark%20trade-off%20between%20usability%20and%20functionality.%20We%20introduce%20Empirica%3A%20a%20modular%20virtual%20lab%20that%20offers%20a%20solution%20to%20the%20usability%5Cu2013functionality%20trade-off%20by%20employing%20a%20%5Cu201cflexible%20defaults%5Cu201d%20design%20strategy.%20This%20strategy%20enables%20us%20to%20maintain%20complete%20%5Cu201cbuild%20anything%5Cu201d%20flexibility%20while%20offering%20a%20development%20platform%20that%20is%20accessible%20to%20novice%20programmers.%20Empirica%5Cu2019s%20architecture%20is%20designed%20to%20allow%20for%20parameterizable%20experimental%20designs%2C%20reusable%20protocols%2C%20and%20rapid%20development.%20These%20features%20will%20increase%20the%20accessibility%20of%20virtual%20lab%20experiments%2C%20remove%20barriers%20to%20innovation%20in%20experiment%20design%2C%20and%20enable%20rapid%20progress%20in%20the%20understanding%20of%20human%20behavior.%22%2C%22date%22%3A%2210%5C%2F2021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3758%5C%2Fs13428-020-01535-9%22%2C%22ISSN%22%3A%221554-3528%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flink.springer.com%5C%2F10.3758%5C%2Fs13428-020-01535-9%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A19%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22C3VGJXL8%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lifchits%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELifchits%2C%20G.%2C%20Anderson%2C%20A.%2C%20Goldstein%2C%20D.%20G.%2C%20Hofman%2C%20J.%20M.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282021%29.%20Success%20stories%20cause%20false%20beliefs%20about%20success.%20%3Ci%3EJudgment%20and%20Decision%20Making%3C%5C%2Fi%3E%2C%20%3Ci%3E16%3C%5C%2Fi%3E%286%29%2C%201439%26%23x2013%3B1463.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Feconpapers.repec.org%5C%2Farticle%5C%2Fjdmjournl%5C%2Fv_3a16_3ay_3a2021_3ai_3a6_3ap_3a1439-1463.htm%27%3Ehttps%3A%5C%2F%5C%2Feconpapers.repec.org%5C%2Farticle%5C%2Fjdmjournl%5C%2Fv_3a16_3ay_3a2021_3ai_3a6_3ap_3a1439-1463.htm%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DC3VGJXL8%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Success%20stories%20cause%20false%20beliefs%20about%20success%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22George%22%2C%22lastName%22%3A%22Lifchits%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ashton%22%2C%22lastName%22%3A%22Anderson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20G.%22%2C%22lastName%22%3A%22Goldstein%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jake%20M.%22%2C%22lastName%22%3A%22Hofman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22Many%20popular%20books%20and%20articles%20that%20purport%20to%20explain%20how%20people%2C%20companies%2C%20or%20ideas%20succeed%20highlight%20a%20few%20successes%20chosen%20to%20fit%20a%20particular%20narrative.%20We%20investigate%20what%20effect%20these%20highly%20selected%20%5Cu00e2%5Cu20ac%5Cu0153success%20narratives%5Cu00e2%5Cu20ac%20have%20on%20readers%27%20beliefs%20and%20decisions.%20We%20conducted%20a%20large%2C%20randomized%2C%20pre-registered%20experiment%2C%20showing%20participants%20successful%20firms%20with%20founders%20that%20all%20either%20dropped%20out%20of%20or%20graduated%20college%2C%20and%20asked%20them%20to%20make%20incentive-compatible%20bets%20on%20a%20new%20firm.%20Despite%20acknowledging%20biases%20in%20the%20examples%2C%20participants%27%20decisions%20were%20very%20strongly%20influenced%20by%20them.%20People%20shown%20dropout%20founders%20were%2055%20percentage%20points%20more%20likely%20to%20bet%20on%20a%20dropout-founded%20company%20than%20people%20who%20were%20shown%20graduate%20founders.%20Most%20reported%20medium%20to%20high%20confidence%20in%20their%20bets%2C%20and%20many%20wrote%20causal%20explanations%20justifying%20their%20decision.%20In%20light%20of%20recent%20concerns%20about%20false%20information%2C%20our%20findings%20demonstrate%20how%20true%20but%20biased%20information%20can%20strongly%20alter%20beliefs%20and%20decisions.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%221930-2975%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Feconpapers.repec.org%5C%2Farticle%5C%2Fjdmjournl%5C%2Fv_3a16_3ay_3a2021_3ai_3a6_3ap_3a1439-1463.htm%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A18%3A09Z%22%7D%7D%2C%7B%22key%22%3A%22TKRG3WLI%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22DAVID%20M.%20J.%20LAZER%2C%20ALEX%20PENTLAND%2C%20DUNCAN%20J.%20WATTS%2C%20SINAN%20ARAL%2C%20SUSAN%20ATHEY%2C%20NOSHIR%20CONTRACTOR%2C%20DEEN%20FREELON%2C%20SANDRA%20GONZALEZ-BAILON%2C%20GARY%20KING%2C%20HELEN%20MARGETTS%2C%20ALONDRA%20NELSON%2C%20MATTHEW%20J.%20SALGANIK%2C%20MARKUS%20STROHMAIER%2C%20ALESSANDRO%20VESPIGNANI%2C%20CLAUDIA%20WAGNER%22%2C%22parsedDate%22%3A%222020-08-28%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDAVID%20M.%20J.%20LAZER%2C%20ALEX%20PENTLAND%2C%20DUNCAN%20J.%20WATTS%2C%20SINAN%20ARAL%2C%20SUSAN%20ATHEY%2C%20NOSHIR%20CONTRACTOR%2C%20DEEN%20FREELON%2C%20SANDRA%20GONZALEZ-BAILON%2C%20GARY%20KING%2C%20HELEN%20MARGETTS%2C%20ALONDRA%20NELSON%2C%20MATTHEW%20J.%20SALGANIK%2C%20MARKUS%20STROHMAIER%2C%20ALESSANDRO%20VESPIGNANI%2C%20CLAUDIA%20WAGNER.%20%282020%2C%20August%2028%29.%20%3Ci%3EComputational%20social%20science%3A%20Obstacles%20and%20opportunities%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.science.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1126%5C%2Fscience.aaz8170%27%3Ehttps%3A%5C%2F%5C%2Fwww.science.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1126%5C%2Fscience.aaz8170%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DTKRG3WLI%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Computational%20social%20science%3A%20Obstacles%20and%20opportunities%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%22%2C%22lastName%22%3A%22DAVID%20M.%20J.%20LAZER%2C%20ALEX%20PENTLAND%2C%20DUNCAN%20J.%20WATTS%2C%20SINAN%20ARAL%2C%20SUSAN%20ATHEY%2C%20NOSHIR%20CONTRACTOR%2C%20DEEN%20FREELON%2C%20SANDRA%20GONZALEZ-BAILON%2C%20GARY%20KING%2C%20HELEN%20MARGETTS%2C%20ALONDRA%20NELSON%2C%20MATTHEW%20J.%20SALGANIK%2C%20MARKUS%20STROHMAIER%2C%20ALESSANDRO%20VESPIGNANI%2C%20CLAUDIA%20WAGNER%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%228%5C%2F28%5C%2F2020%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.science.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1126%5C%2Fscience.aaz8170%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A07%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22KCB3PXDH%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22parsedDate%22%3A%222020-04-03%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Ci%3EEvaluating%20the%20fake%20news%20problem%20at%20the%20scale%20of%20the%20information%20ecosystem%3C%5C%2Fi%3E.%20%282020%2C%20April%203%29.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1126%5C%2Fsciadv.aay3539%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DKCB3PXDH%27%3ECite%3C%5C%2Fa%3E%20%20%3Ca%20title%3D%27Download%27%20class%3D%27zp-DownloadURL%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.dl.php%3Fapi_user_id%3D9823540%26amp%3Bdlkey%3D9J9L3RD8%26amp%3Bcontent_type%3Dapplication%5C%2Fpdf%27%3EDownload%3C%5C%2Fa%3E%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Evaluating%20the%20fake%20news%20problem%20at%20the%20scale%20of%20the%20information%20ecosystem%22%2C%22creators%22%3A%5B%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%224%5C%2F3%5C%2F2020%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.science.org%5C%2Fdoi%5C%2F10.1126%5C%2Fsciadv.aay3539%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A09%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22FJABKX9H%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22parsedDate%22%3A%222020-03-30%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3E%3Ci%3EMeasuring%20the%20predictability%20of%20life%20outcomes%20with%20a%20scientific%20mass%20collaboration%20%7C%20PNAS%3C%5C%2Fi%3E.%20%282020%2C%20March%2030%29.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.1915006117%27%3Ehttps%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.1915006117%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DFJABKX9H%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22webpage%22%2C%22title%22%3A%22Measuring%20the%20predictability%20of%20life%20outcomes%20with%20a%20scientific%20mass%20collaboration%20%7C%20PNAS%22%2C%22creators%22%3A%5B%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2203%5C%2F30%5C%2F2020%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1073%5C%2Fpnas.1915006117%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A08%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22KNCR2R2Y%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Almaatouq%20et%20al.%22%2C%22parsedDate%22%3A%222020-01-29%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAlmaatouq%2C%20A.%2C%20Yin%2C%20M.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282020%29.%20%3Ci%3ECollective%20problem-solving%20of%20groups%20across%20tasks%20of%20varying%20complexity%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fra9qy%5C%2Fdownload%3Fformat%3Dpdf%27%3Ehttps%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fra9qy%5C%2Fdownload%3Fformat%3Dpdf%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DKNCR2R2Y%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Collective%20problem-solving%20of%20groups%20across%20tasks%20of%20varying%20complexity%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abdullah%22%2C%22lastName%22%3A%22Almaatouq%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ming%22%2C%22lastName%22%3A%22Yin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%221%5C%2F29%5C%2F2020%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fra9qy%5C%2Fdownload%3Fformat%3Dpdf%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A12%3A15Z%22%7D%7D%2C%7B%22key%22%3A%22736IXWG3%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lazer%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELazer%2C%20D.%20M.%2C%20Pentland%2C%20A.%2C%20Watts%2C%20D.%20J.%2C%20Aral%2C%20S.%2C%20Athey%2C%20S.%2C%20Contractor%2C%20N.%2C%20Freelon%2C%20D.%2C%20Gonzalez-Bailon%2C%20S.%2C%20King%2C%20G.%2C%20%26amp%3B%20Margetts%2C%20H.%20%282020%29.%20Computational%20social%20science%3A%20Obstacles%20and%20opportunities.%20%3Ci%3EScience%3C%5C%2Fi%3E%2C%20%3Ci%3E369%3C%5C%2Fi%3E%286507%29%2C%201060%26%23x2013%3B1062.%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D736IXWG3%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Computational%20social%20science%3A%20Obstacles%20and%20opportunities%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%20MJ%22%2C%22lastName%22%3A%22Lazer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Pentland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sinan%22%2C%22lastName%22%3A%22Aral%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Susan%22%2C%22lastName%22%3A%22Athey%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Noshir%22%2C%22lastName%22%3A%22Contractor%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Deen%22%2C%22lastName%22%3A%22Freelon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandra%22%2C%22lastName%22%3A%22Gonzalez-Bailon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gary%22%2C%22lastName%22%3A%22King%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Helen%22%2C%22lastName%22%3A%22Margetts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T15%3A28%3A40Z%22%7D%7D%2C%7B%22key%22%3A%22GPGYJU7M%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meyer%20et%20al.%22%2C%22parsedDate%22%3A%222019-11-26%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeyer%2C%20M.%20N.%2C%20Heck%2C%20P.%20R.%2C%20Holtzman%2C%20G.%20S.%2C%20Anderson%2C%20S.%20M.%2C%20Cai%2C%20W.%2C%20Watts%2C%20D.%20J.%2C%20%26amp%3B%20Chabris%2C%20C.%20F.%20%282019%29.%20Reply%20to%20Mislavsky%20et%20al.%3A%20Sometimes%20people%20really%20are%20averse%20to%20experiments.%20%3Ci%3EProceedings%20of%20the%20National%20Academy%20of%20Sciences%3C%5C%2Fi%3E%2C%20%3Ci%3E116%3C%5C%2Fi%3E%2848%29%2C%2023885%26%23x2013%3B23886.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.1914509116%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.1914509116%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DGPGYJU7M%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Reply%20to%20Mislavsky%20et%20al.%3A%20Sometimes%20people%20really%20are%20averse%20to%20experiments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michelle%20N.%22%2C%22lastName%22%3A%22Meyer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%20R.%22%2C%22lastName%22%3A%22Heck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Geoffrey%20S.%22%2C%22lastName%22%3A%22Holtzman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stephen%20M.%22%2C%22lastName%22%3A%22Anderson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%22%2C%22lastName%22%3A%22Cai%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20F.%22%2C%22lastName%22%3A%22Chabris%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222019%5C%2F11%5C%2F26%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1073%5C%2Fpnas.1914509116%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.pnas.org%5C%2Fdoi%5C%2Ffull%5C%2F10.1073%5C%2Fpnas.1914509116%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A12%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22LR9SGDKC%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Heck%20et%20al.%22%2C%22parsedDate%22%3A%222019-10-21%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHeck%2C%20P.%20R.%2C%20Chabris%2C%20C.%2C%20Watts%2C%20D.%20J.%2C%20%26amp%3B%20Meyer%2C%20M.%20%282019%29.%20%3Ci%3ESometimes%20People%20Dislike%20Experiments%20More%20than%20They%20Dislike%20Their%20Worst%20Conditions%3A%20Within-Subjects%20Evidence%20for%20%26%23x201C%3BExperiment%20Aversion%26%23x201D%3B%20and%20the%20A%5C%2FB%20Effect%3C%5C%2Fi%3E.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fjmxgc%5C%2Fdownload%27%3Ehttps%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fjmxgc%5C%2Fdownload%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DLR9SGDKC%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Sometimes%20People%20Dislike%20Experiments%20More%20than%20They%20Dislike%20Their%20Worst%20Conditions%3A%20Within-Subjects%20Evidence%20for%20%5Cu201cExperiment%20Aversion%5Cu201d%20and%20the%20A%5C%2FB%20Effect%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%20Ryan%22%2C%22lastName%22%3A%22Heck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Chabris%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michelle%22%2C%22lastName%22%3A%22Meyer%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222019%5C%2F10%5C%2F21%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fpsyarxiv.com%5C%2Fjmxgc%5C%2Fdownload%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A13%3A14Z%22%7D%7D%2C%7B%22key%22%3A%227DDWGQ2X%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Risi%20et%20al.%22%2C%22parsedDate%22%3A%222019-06-03%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERisi%2C%20J.%2C%20Sharma%2C%20A.%2C%20Shah%2C%20R.%2C%20Connelly%2C%20M.%2C%20%26amp%3B%20Watts%2C%20D.%20J.%20%282019%29.%20Predicting%20history.%20%3Ci%3ENature%20Human%20Behaviour%3C%5C%2Fi%3E%2C%20%3Ci%3E3%3C%5C%2Fi%3E%289%29%2C%20906%26%23x2013%3B912.%20%3Ca%20href%3D%27https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41562-019-0620-8%27%3Ehttps%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41562-019-0620-8%3C%5C%2Fa%3E%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3D7DDWGQ2X%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Predicting%20history%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joseph%22%2C%22lastName%22%3A%22Risi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amit%22%2C%22lastName%22%3A%22Sharma%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rohan%22%2C%22lastName%22%3A%22Shah%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%22%2C%22lastName%22%3A%22Connelly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%226%5C%2F3%5C%2F2019%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41562-019-0620-8%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A13%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22N4R3MDBW%22%2C%22library%22%3A%7B%22id%22%3A9823540%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meyer%20et%20al.%22%2C%22parsedDate%22%3A%222019-05-28%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeyer%2C%20M.%20N.%2C%20Heck%2C%20P.%20R.%2C%20Holtzman%2C%20G.%20S.%2C%20Anderson%2C%20S.%20M.%2C%20Cai%2C%20W.%2C%20Watts%2C%20D.%20J.%2C%20%26amp%3B%20Chabris%2C%20C.%20F.%20%282019%29.%20Objecting%20to%20experiments%20that%20compare%20two%20unobjectionable%20policies%20or%20treatments.%20%3Ci%3EProceedings%20of%20the%20National%20Academy%20of%20Sciences%3C%5C%2Fi%3E%2C%20%3Ci%3E116%3C%5C%2Fi%3E%2822%29%2C%2010723%26%23x2013%3B10728.%20%3Ca%20title%3D%27Cite%20in%20RIS%20Format%27%20class%3D%27zp-CiteRIS%27%20href%3D%27https%3A%5C%2F%5C%2Fduncanjwatts.com%5C%2Fwp-content%5C%2Fplugins%5C%2Fzotpress%5C%2Flib%5C%2Frequest%5C%2Frequest.cite.php%3Fapi_user_id%3D9823540%26amp%3Bitem_key%3DN4R3MDBW%27%3ECite%3C%5C%2Fa%3E%20%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Objecting%20to%20experiments%20that%20compare%20two%20unobjectionable%20policies%20or%20treatments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michelle%20N.%22%2C%22lastName%22%3A%22Meyer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%20R.%22%2C%22lastName%22%3A%22Heck%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Geoffrey%20S.%22%2C%22lastName%22%3A%22Holtzman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stephen%20M.%22%2C%22lastName%22%3A%22Anderson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22William%22%2C%22lastName%22%3A%22Cai%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Duncan%20J.%22%2C%22lastName%22%3A%22Watts%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20F.%22%2C%22lastName%22%3A%22Chabris%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222019%5C%2F5%5C%2F28%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%225JEGL34W%22%5D%2C%22dateModified%22%3A%222022-07-27T16%3A14%3A44Z%22%7D%7D%5D%7D
Muise, D., Hosseinmardi, H., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2022). Quantifying partisan news diets in Web and TV audiences. Science Advances, 8(28), eabn0083. https://doi.org/10.1126/sciadv.abn0083 Cite Download
Salganik, M. J., Dodds, P. S., & Watts, D. J. (2022). Experimental study of inequality and unpredictability in an artificial cultural market. Edward Elgar Publishing. https://www.elgaronline.com/view/book/9781789909432/book-part-9781789909432-32.xml Cite
Stefano Balietti, Lise Getoor, Daniel G. Goldstein, Duncan J. Watts. (2021, December 22). Reducing opinion polarization: Effects of exposure to similar people with differing political views | PNAS. https://www.pnas.org/doi/abs/10.1073/pnas.2112552118 Cite
Almaatouq, A., Becker, J., Bernstein, M., Botto, R., Bradlow, E., Damer, E., Duckworth, A., Griffiths, T., Hartshorne, J., Law, E., Lazer, D., Liu, M., Matias, J. N., Rand, D., Salganik, M., Satlof-Bedrick, E., Schweitzer, M., Shirado, H., Suchow, J., … Yin, M. (2021). Scaling up experimental social, behavioral, and economic science. OSF Preprints. https://doi.org/10.31219/osf.io/wksv8 Cite Download
Konitzer, T., Allen, J., Eckman, S., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2021). Comparing Estimates of News Consumption from Survey and Passively Collected Behavioral Data. Public Opinion Quarterly, 85(S1), 347–370. https://doi.org/10.1093/poq/nfab023 Cite Download
Hosseinmardi, H., Ghasemian, A., Clauset, A., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Examining the consumption of radical content on YouTube. Proceedings of the National Academy of Sciences, 118(32), e2101967118. https://doi.org/10.1073/pnas.2101967118 Cite Download
Allen, J., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Research note: Examining potential bias in large-scale censored data. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-74 Cite Download
Jake M. Hofman, Duncan J. Watts, Susan Athey, Filiz Garip, Thomas L. Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J. Salganik, Simine Vazire, Alessandro Vespignani & Tal Yarkoni. (2021, June 30). Integrating explanation and prediction in computational social science | Nature. https://www.nature.com/articles/s41586-021-03659-0 Cite
Almaatouq, A., Becker, J., Houghton, J. P., Paton, N., Watts, D. J., & Whiting, M. E. (2021). Empirica: a virtual lab for high-throughput macro-level experiments. Behavior Research Methods, 53(5), 2158–2171. https://doi.org/10.3758/s13428-020-01535-9 Cite Download
Lifchits, G., Anderson, A., Goldstein, D. G., Hofman, J. M., & Watts, D. J. (2021). Success stories cause false beliefs about success. Judgment and Decision Making, 16(6), 1439–1463. https://econpapers.repec.org/article/jdmjournl/v_3a16_3ay_3a2021_3ai_3a6_3ap_3a1439-1463.htm Cite
DAVID M. J. LAZER, ALEX PENTLAND, DUNCAN J. WATTS, SINAN ARAL, SUSAN ATHEY, NOSHIR CONTRACTOR, DEEN FREELON, SANDRA GONZALEZ-BAILON, GARY KING, HELEN MARGETTS, ALONDRA NELSON, MATTHEW J. SALGANIK, MARKUS STROHMAIER, ALESSANDRO VESPIGNANI, CLAUDIA WAGNER. (2020, August 28). Computational social science: Obstacles and opportunities. https://www.science.org/doi/abs/10.1126/science.aaz8170 Cite
Measuring the predictability of life outcomes with a scientific mass collaboration | PNAS. (2020, March 30). https://www.pnas.org/doi/abs/10.1073/pnas.1915006117 Cite
Almaatouq, A., Yin, M., & Watts, D. J. (2020). Collective problem-solving of groups across tasks of varying complexity. https://psyarxiv.com/ra9qy/download?format=pdf Cite
Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., Freelon, D., Gonzalez-Bailon, S., King, G., & Margetts, H. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060–1062. Cite
Meyer, M. N., Heck, P. R., Holtzman, G. S., Anderson, S. M., Cai, W., Watts, D. J., & Chabris, C. F. (2019). Reply to Mislavsky et al.: Sometimes people really are averse to experiments. Proceedings of the National Academy of Sciences, 116(48), 23885–23886. https://doi.org/https://doi.org/10.1073/pnas.1914509116 Cite
Heck, P. R., Chabris, C., Watts, D. J., & Meyer, M. (2019). Sometimes People Dislike Experiments More than They Dislike Their Worst Conditions: Within-Subjects Evidence for “Experiment Aversion” and the A/B Effect. https://psyarxiv.com/jmxgc/download Cite
Risi, J., Sharma, A., Shah, R., Connelly, M., & Watts, D. J. (2019). Predicting history. Nature Human Behaviour, 3(9), 906–912. https://www.nature.com/articles/s41562-019-0620-8 Cite
Meyer, M. N., Heck, P. R., Holtzman, G. S., Anderson, S. M., Cai, W., Watts, D. J., & Chabris, C. F. (2019). Objecting to experiments that compare two unobjectionable policies or treatments. Proceedings of the National Academy of Sciences, 116(22), 10723–10728. Cite