Who's fuelling Twitter disinformation on the COVID-19 vaccination campaign? Evidence from a computational analysis of the green pass debate

被引:0
作者
Monaci, Sara [1 ]
Persico, Simone [1 ,2 ]
机构
[1] Politecn Torino, DIST, Turin, Italy
[2] Politecn Torino, DIST, Viale Mattioli 39, I-10125 Turin, Italy
关键词
Digital methods; Twitter; opinion leader; disinformation; COVID-19; OPINION LEADERSHIP; SOCIAL MEDIA; INFLUENTIALS; CONSUMPTION; IMPACT; FLOW;
D O I
10.1080/23248823.2023.2182735
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
The COVID-19 health emergency increased disinformation's role and fostered a growing fragmentation between conflicting opinions on COVID-19 causes, vaccination policies, and government measures to deal with the pandemic. Studies have found that disinformation sources included private citizens, independent organizations, mainstream online newspapers and even public figures such as politicians, commentators, bloggers etc. In Italy, the Twitter debate ignited a conflict between mainstream positions in favour of restrictions, and more libertarian opinions extremely critical of government measures. Our research investigates, through a computational approach based on digital methods and social network analysis (SNA), opinion leaders' roles in the Italian green pass debate on Twitter that surfaced in the second half of 2021. Drawing on the classic two-step model of communication, our essay identifies the Italian opinion leaders on Twitter and their content dissemination strategies. Our analysis reveals a limited number of dominant voices interacting in segregated networks of users. These networks can be considered echo chambers given the verbose and self-referential tweeting activity of their opinion leaders. Moreover, such activity involves spreading disinformation and conspiracy theories through a dissemination strategy aimed at diverting the audience from Twitter, towards 'below-the-radar' environments (e.g. Rumble), where political views are more radical.
引用
收藏
页码:468 / 493
页数:26
相关论文
共 44 条
  • [11] Who to Trust on Social Media: How Opinion Leaders and Seekers Avoid Disinformation and Echo Chambers
    Dubois, Elizabeth
    Minaeian, Sara
    Paquet-Labelle, Ariane
    Beaudry, Simon
    [J]. SOCIAL MEDIA + SOCIETY, 2020, 6 (02):
  • [12] The echo chamber is overstated: the moderating effect of political interest and diverse media
    Dubois, Elizabeth
    Blank, Grant
    [J]. INFORMATION COMMUNICATION & SOCIETY, 2018, 21 (05) : 729 - 745
  • [13] The Multiple Facets of Influence: Identifying Political Influentials and Opinion Leaders on Twitter
    Dubois, Elizabeth
    Gaffney, Devin
    [J]. AMERICAN BEHAVIORAL SCIENTIST, 2014, 58 (10) : 1260 - 1277
  • [14] Filter Bubbles, Echo Chambers, and Online News Consumption
    Flaxman, Seth
    Goel, Sharad
    Rao, Justin M.
    [J]. PUBLIC OPINION QUARTERLY, 2016, 80 : 298 - 320
  • [15] THE IMPACT OF TRUST IN THE NEWS MEDIA ON ONLINE NEWS CONSUMPTION AND PARTICIPATION
    Fletcher, Richard
    Park, Sora
    [J]. DIGITAL JOURNALISM, 2017, 5 (10) : 1281 - 1299
  • [16] Grusin R, 2010, PREMEDIATION: AFFECT AND MEDIALITY AFTER 9/11, P1, DOI 10.1057/9780230275270
  • [17] COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis
    Islam, Md Saiful
    Sarkar, Tonmoy
    Khan, Sazzad Hossain
    Kamal, Abu-Hena Mostofa
    Hasan, S. M. Murshid
    Kabir, Alamgir
    Yeasmin, Dalia
    Islam, Mohammad Ariful
    Chowdhury, Kamal Ibne Amin
    Anwar, Kazi Selim
    Chughtai, Abrar Ahmad
    Seale, Holly
    [J]. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2020, 103 (04) : 1621 - 1629
  • [18] Katz E, 1966, PERSONAL INFLUENCE P
  • [19] Building trust while influencing online COVID-19 content in the social media world
    Limaye, Rupali Jayant
    Sauer, Molly
    Ali, Joseph
    Bernstein, Justin
    Wahl, Brian
    Barnhill, Anne
    Labrique, Alain
    [J]. LANCET DIGITAL HEALTH, 2020, 2 (06): : E277 - E278
  • [20] Internet Searches for Unproven COVID-19 Therapies in the United States
    Liu, Michael
    Caputi, Theodore L.
    Dredze, Mark
    Kesselheim, Aaron S.
    Ayers, John W.
    [J]. JAMA INTERNAL MEDICINE, 2020, 180 (08) : 1116 - 1118