Assessing the Russian Internet Research Agency's impact on the political attitudes and behaviors of American Twitter users in late 2017

被引:110
作者
Bail, Christopher A. [1 ,2 ,3 ]
Guay, Brian [1 ,4 ]
Maloney, Emily [1 ,2 ]
Combs, Aidan [1 ,2 ]
Hillygus, D. Sunshine [1 ,3 ,4 ]
Merhout, Friedolin [1 ,5 ]
Freelon, Deen [6 ]
Volfovsky, Alexander [1 ,7 ]
机构
[1] Duke Univ, Polarizat Lab, Durham, NC 27708 USA
[2] Duke Univ, Dept Sociol, Durham, NC 27708 USA
[3] Duke Univ, Sanford Sch Publ Policy, Durham, NC 27708 USA
[4] Duke Univ, Dept Polit Sci, Durham, NC 27708 USA
[5] Univ Copenhagen, Dept Sociol, DK-1353 Copenhagen, Denmark
[6] Univ N Carolina, Sch Media & Journalism, Chapel Hill, NC 27599 USA
[7] Duke Univ, Dept Stat Sci, Durham, NC 27708 USA
关键词
misinformation; social media; political polarization; computational; social science; ELECTIONS;
D O I
10.1073/pnas.1906420116
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is widespread concern that Russia and other countries have launched social-media campaigns designed to increase political divisions in the United States. Though a growing number of studies analyze the strategy of such campaigns, it is not yet known how these efforts shaped the political attitudes and behaviors of Americans. We study this question using longitudinal data that describe the attitudes and online behaviors of 1,239 Republican and Democratic Twitter users from late 2017 merged with nonpublic data about the Russian Internet Research Agency (IRA) from Twitter. Using Bayesian regression tree models, we find no evidence that interaction with IRA accounts substantially impacted 6 distinctive measures of political attitudes and behaviors over a 1-mo period. We also find that interaction with IRA accounts were most common among respondents with strong ideological homophily within their Twitter network, high interest in politics, and high frequency of Twitter usage. Together, these findings suggest that Russian trolls might have failed to sow discord because they mostly interacted with those who were already highly polarized. We conclude by discussing several important limitations of our study-especially our inability to determine whether IRA accounts influenced the 2016 presidential election-as well as its implications for future research on social media influence campaigns, political polarization, and computational social science.
引用
收藏
页码:243 / 250
页数:8
相关论文
共 25 条
[1]  
[Anonymous], 1954, Voting. A Study of Opinion Formation in a Presidential Campaign
[2]  
[Anonymous], 2015, THIS IS WHY WE CANT
[3]  
[Anonymous], P WSDM WORKSH MIS MI
[4]   Protecting elections from social media manipulation [J].
Aral, Sinan ;
Eckles, Dean .
SCIENCE, 2019, 365 (6456) :858-+
[5]  
Bail C. A., P NATL ACAD SCI USA, DOI [10.7910/DVN/UATZBA, DOI 10.7910/DVN/UATZBA]
[6]   Exposure to opposing views on social media can increase political polarization [J].
Bail, Christopher A. ;
Argyle, Lisa P. ;
Brown, Taylor W. ;
Bumpus, John P. ;
Chen, Haohan ;
Hunzaker, M. B. Fallin ;
Lee, Jaemin ;
Mann, Marcus ;
Merhout, Friedolin ;
Volfovsky, Alexander .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (37) :9216-9221
[7]   Exposure to ideologically diverse news and opinion on Facebook [J].
Bakshy, Eytan ;
Messing, Solomon ;
Adamic, Lada A. .
SCIENCE, 2015, 348 (6239) :1130-1132
[8]   Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data [J].
Barbera, Pablo .
POLITICAL ANALYSIS, 2015, 23 (01) :76-91
[9]   Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate [J].
Broniatowski, David A. ;
Jamison, Amelia M. ;
Qi, SiHua ;
AlKulaib, Lulwah ;
Chen, Tao ;
Benton, Adrian ;
Quinn, Sandra C. ;
Dredze, Mark .
AMERICAN JOURNAL OF PUBLIC HEALTH, 2018, 108 (10) :1378-1384
[10]  
DiResta R., 2018, CISC VIS NETW IND GL