Reshares on social media amplify political news but do not detectably affect beliefs or opinions
成果类型：
Article
署名作者：
Guess, Andrew M. M.; Malhotra, Neil; Pan, Jennifer; Barbera, Pablo; Allcott, Hunt; Brown, Taylor; Crespo-Tenorio, Adriana; Dimmery, Drew; Freelon, Deen; Gentzkow, Matthew; Gonzalez-Bailon, Sandra; Kennedy, Edward; Kim, Young Mie; Lazer, David; Moehler, Devra; Nyhan, Brendan; Rivera, Carlos Velasco; Settle, Jaime; Thomas, Daniel Robert; Thorson, Emily; Tromble, Rebekah; Wilkins, Arjun; Wojcieszak, Magdalena; Xiong, Beixian; de Jonge, Chad Kiewiet; Franco, Annie; Mason, Winter; Stroud, Natalie Jomini; Tucker, Joshua A. A.
署名单位：
Princeton University; Princeton University; Stanford University; Stanford University; Stanford University; University of Vienna; University of North Carolina; University of North Carolina Chapel Hill; Stanford University; University of Pennsylvania; Carnegie Mellon University; University of Wisconsin System; University of Wisconsin Madison; Northeastern University; Dartmouth College; Syracuse University; George Washington University; George Washington University; University of California System; University of California Davis; University of Amsterdam; University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin; New York University; New York University
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-10049
DOI：
10.1126/science.add8424
发表日期：
2023-07-28
页码：
404-408
关键词：
摘要：
We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing reshared content substantially decreases the amount of political news, including content from untrustworthy sources, to which users are exposed; decreases overall clicks and reactions; and reduces partisan news clicks. Further, we observe that removing reshared content produces clear decreases in news knowledge within the sample, although there is some uncertainty about how this would generalize to all users. Contrary to expectations, the treatment does not significantly affect political polarization or any measure of individual-level political attitudes.