Homophily and polarization in the age of misinformation

被引:62
作者
Bessi, Alessandro [1 ,2 ]
Petroni, Fabio [3 ]
Del Vicario, Michela [2 ]
Zollo, Fabiana [2 ]
Anagnostopoulos, Aris [3 ]
Scala, Antonio [4 ]
Caldarelli, Guido [2 ]
Quattrociocchi, Walter [1 ]
机构
[1] IUSS, Pavia, Italy
[2] IMT Inst Adv Studies, Lucca, Italy
[3] Sapienza Univ, Rome, Italy
[4] CNR, ISC, Rome, Italy
关键词
MEDIA; SELECTION; CONTAGION; DYNAMICS;
D O I
10.1140/epjst/e2015-50319-0
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The World Economic Forum listed massive digital misinformation as one of the main threats for our society. The spreading of unsubstantiated rumors may have serious consequences on public opinion such as in the case of rumors about Ebola causing disruption to health-care workers. In this work we target Facebook to characterize information consumption patterns of 1.2M Italian users with respect to verified (science news) and unverified (conspiracy news) contents. Through a thorough quantitative analysis we provide important insights about the anatomy of the system across which misinformation might spread. In particular, we show that users' engagement on verified (or unverified) content correlates with the number of friends having similar consumption patterns (homophily). Finally, we measure how this social system responded to the injection of 4, 709 false information. We find that the frequent (and selective) exposure to specific kind of content (polarization) is a good proxy for the detection of homophile clusters where certain kind of rumors are more likely to spread.
引用
收藏
页码:2047 / 2059
页数:13
相关论文
共 43 条
  • [1] Adar E., 2004, Workshop on the Weblogging Ecosystem, V13, P16989
  • [2] Friendship Prediction and Homophily in Social Media
    Aiello, Luca Maria
    Barrat, Alain
    Schifanella, Rossano
    Cattuto, Ciro
    Markines, Benjamin
    Menczer, Filippo
    [J]. ACM TRANSACTIONS ON THE WEB, 2012, 6 (02)
  • [3] [Anonymous], 2013, WEF REPORT
  • [4] [Anonymous], 2004, INFORM DIFFUSION BLO, DOI DOI 10.1145/988672.988739
  • [5] [Anonymous], 2010, ICWSM
  • [6] [Anonymous], 2013, ICWSM
  • [7] [Anonymous], 2011, Everyone is an influencer: Quantifying influence on twitter, DOI DOI 10.1145/1935826.1935845
  • [8] [Anonymous], P NATL ACAD SCI
  • [9] Identifying Influential and Susceptible Members of Social Networks
    Aral, Sinan
    Walker, Dylan
    [J]. SCIENCE, 2012, 337 (6092) : 337 - 341
  • [10] Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
    Aral, Sinan
    Muchnik, Lev
    Sundararajan, Arun
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) : 21544 - 21549