Diffusion of tax-related communication on social media

被引:2
作者
Puklavec, Ziga [1 ]
Stavrova, Olga [1 ,2 ]
Kogler, Christoph [1 ]
Zeelenberg, Marcel [1 ,3 ]
机构
[1] Tilburg Univ, Dept Social Psychol, TIBER, POB 90153, NL-5000 LE Tilburg, Netherlands
[2] Univ Lubeck, Dept Psychol, Lubeck, Germany
[3] Vrije Univ Amsterdam, Dept Mkt, Amsterdam, Netherlands
关键词
Taxation; Information diffusion; Social media; Emotions; Moral language; MORALIZED CONTENT; NORMS; EMOTION; ETHICS;
D O I
10.1016/j.socec.2024.102203
中图分类号
F [经济];
学科分类号
02 ;
摘要
Taxation is a recurrent topic in people's conversations, also on social media. Yet, informal channels such as social media have been widely neglected in studies that examined how information about taxation spreads across social networks. Using posts on Twitter (currently called "X") with taxation related hashtags from 2010 to 2020, we examined what linguistic cues are associated with information diffusion, that is, the number of retweets a message receives. The use of emotional, moral, and moral-emotional language in a tweet was associated with greater diffusion (i.e., more retweets). In contrast to the negativity bias literature, positive emotional words were more strongly associated with information diffusion than negative emotional words. Among the specific emotions that taxation research has focused on, only the use of anger (but not anxiety) words was associated with more retweets. The study contributes to the literature by examining individuals' reasoning about taxes.
引用
收藏
页数:8
相关论文
共 49 条
  • [1] Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter
    Alstadsaeter, Annette
    Kopczuk, Wojciech
    Telle, Kjetil
    [J]. INTERNATIONAL TAX AND PUBLIC FINANCE, 2019, 26 (06) : 1291 - 1328
  • [2] [Anonymous], 2021, Digital 2021: Global Overview Report
  • [3] Bot detection in twitter landscape using unsupervised learning
    Anwar, Ahmed
    Yaqub, Ussama
    [J]. PROCEEDINGS OF THE 21ST ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2020, 2020, : 329 - 330
  • [4] Baumeister R. F., 2001, REV GEN PSYCHOL, V5, DOI [DOI 10.1037/1089-2680.5.4.323, 10.1037/1089-2680.5.4.323]
  • [5] What Makes Online Content Viral?
    Berger, Jonah
    Milkman, Katherine L.
    [J]. JOURNAL OF MARKETING RESEARCH, 2012, 49 (02) : 192 - 205
  • [6] Heard it through the grapevine: The direct and network effects of a tax enforcement field experiment on firms
    Boning, William C.
    Guyton, John
    Hodge, Ronald
    Slemrod, Joel
    [J]. JOURNAL OF PUBLIC ECONOMICS, 2020, 190
  • [7] How character limit affects language usage in tweets
    Boot, Arnout B.
    Sang, Erik Tjong Kim
    Dijkstra, Katinka
    Zwaari, Rolf A.
    [J]. PALGRAVE COMMUNICATIONS, 2019, 5 (1)
  • [8] You've Got Mail: A Randomized Field Experiment on Tax Evasion
    Bott, Kristina M.
    Cappelen, Alexander W.
    Sorensen, Erik O.
    Tungodden, Bertil
    [J]. MANAGEMENT SCIENCE, 2020, 66 (07) : 2801 - 2819
  • [9] An Ideological Asymmetry in the Diffusion of Moralized Content on Social Media Among Political Leaders
    Brady, William J.
    Wills, Julian A.
    Burkart, Dominic
    Jost, John T.
    Van Bavel, Jay J.
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2019, 148 (10) : 1802 - 1813
  • [10] Emotion shapes the diffusion of moralized content in social networks
    Brady, William J.
    Wills, Julian A.
    Jost, John T.
    Tucker, Joshua A.
    Van Bavel, Jay J.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (28) : 7313 - 7318