Personality traits and echo chambers on facebook

被引:62
作者
Bessi, Alessandro [1 ,2 ]
机构
[1] IUSS Inst Adv Study, Pavia, Italy
[2] IMT Inst Adv Studies, Lucca, Italy
关键词
Personality traits; Online social media; 5-FACTOR MODEL; ONLINE; BEHAVIOR; SELF; (MIS)INFORMATION; ATTRIBUTES; RATINGS; AGE;
D O I
10.1016/j.chb.2016.08.016
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In online social networks, users tend to select information that adhere to their system of beliefs and to form polarized groups of like minded people. Polarization as well as its effects on online social interactions have been extensively investigated. Still, the relation between group formation and personality traits remains unclear. A better understanding of the cognitive and psychological determinants of online social dynamics might help to design more efficient communication strategies and to challenge the digital misinformation threat. In this work, we focus on users commenting posts published by US Facebook pages supporting scientific and conspiracy-like narratives, and we classify the personality traits of those users according to their online behavior. We show that different and conflicting communities are populated by users showing similar psychological profiles, and that the dominant personality model is the same in both scientific and conspiracy echo chambers. Moreover, we observe that the permanence within echo chambers slightly shapes users' psychological profiles. Our results suggest that the presence of specific personality traits in individuals lead to their considerable involvement in supporting narratives inside virtual echo chambers. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:319 / 324
页数:6
相关论文
共 52 条
  • [31] Manifestations of user personality in website choice and behaviour on online social networks
    Kosinski, Michal
    Bachrach, Yoram
    Kohli, Pushmeet
    Stillwell, David
    Graepel, Thore
    [J]. MACHINE LEARNING, 2014, 95 (03) : 357 - 380
  • [32] Private traits and attributes are predictable from digital records of human behavior
    Kosinski, Michal
    Stillwell, David
    Graepel, Thore
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (15) : 5802 - 5805
  • [33] Laney M., 2002, INTROVERT ADVANTAGE
  • [34] Using linguistic cues for the automatic recognition of personality in conversation and text
    Mairesse, Francois
    Walker, Marilyn A.
    Mehl, Matthias R.
    Moore, Roger K.
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2007, 30 : 457 - 500
  • [35] The true self online: Personality correlates of preference for self-expression online, and observer ratings of personality online and offline
    Marriott, Tamsin C.
    Buchanan, Tom
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2014, 32 : 171 - 177
  • [36] VALIDATION OF THE 5-FACTOR MODEL OF PERSONALITY ACROSS INSTRUMENTS AND OBSERVERS
    MCCRAE, RR
    COSTA, PT
    [J]. JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1987, 52 (01) : 81 - 90
  • [37] Can you tell who I am? Neuroticism, extraversion, and online self-presentation among young adults
    Michikyan, Minas
    Subrahmanyam, Kaveri
    Dennis, Jessica
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2014, 33 : 179 - 183
  • [38] Collective attention in the age of (mis)information
    Mocanu, Delia
    Rossi, Luca
    Zhang, Qian
    Karsai, Marton
    Quattrociocchi, Walter
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2015, 51 : 1198 - 1204
  • [39] Make new friends or keep the old: Gender and personality differences in social networking use
    Muscanell, Nicole L.
    Guadagno, Rosanna E.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2012, 28 (01) : 107 - 112