Alternative Counter-News Use and Fake News Recall During the COVID-19 Crisis

被引:12
|
作者
Frischlich, Lena [1 ]
Kuhfeldt, Lara [2 ]
Schatto-Eckrodt, Tim [1 ]
Clever, Lena [3 ]
机构
[1] Univ Munster, Dept Commun, Munster, Germany
[2] Ludwigs Maximilian Univ LMU, Dept Media & Commun IfKW, Munich, Germany
[3] Univ Munster, Dept Informat Syst, Munster, Germany
关键词
alternative news media; alternative counter-news; authoritarianism; conspiracy mentality; coronavirus; COVID-19; differential susceptibility to media effects; fake news; trust; SELECTIVE-EXPOSURE; MEDIA; METAANALYSIS; COMMUNITIES; CONSUMPTION; JOURNALISM; PREJUDICE; AUDIENCE; THREAT;
D O I
10.1080/21670811.2022.2106259
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The outbreak of the COVID-19 pandemic was accompanied by a massive flood of "fake news", conspiracy theories, and distorted information more generally. Alternative news media have been accused of contributing to this pollution the information sphere. In this article, we argue that audiences with a counter-hegemonic, ideologically biased worldview are particularly likely to use alternative counter-news, because these outlets validate their worldview - and worldview validation being a relevant psychological need in times of crises. We suggest that by turning to alternative counter-news, audiences increase their exposure to fake news and end up being less well informed about important events. Results of a random-quota survey in Germany (N = 967) confirmed that those with higher levels of conspiracy mentality and lower media trust were more likely to use alternative counter-news. Alternative counter-news users recalled more fake news than non-users and alternative counter-news use partially mediated the relationship between counter-hegemonic attitudes and fake news recall. Thus, although not all content in alternative counter-news is fake news, these outlets do attract a specific counter-hegemonic audience and they do contribute to the "pollution" of the information ecosystem.
引用
收藏
页码:80 / 102
页数:23
相关论文
共 50 条
  • [21] CHECKED: Chinese COVID-19 fake news dataset
    Chen Yang
    Xinyi Zhou
    Reza Zafarani
    [J]. Social Network Analysis and Mining, 2021, 11
  • [22] COVID-19 Vaccination Campaign: Fake News Infodemic
    Neto, Mercedes
    Ferreira Lachtim, Sheila Aparecida
    [J]. REVISTA BRASILEIRA DE ENFERMAGEM, 2022, 75 (04)
  • [23] Health Fake News in the Covid-19 Pandemic in Brazil
    Tavares, Ana Paula
    Joia, Luiz Antonio
    Fornazin, Marcelo
    [J]. ELECTRONIC GOVERNMENT, EGOV 2022, 2022, 13391 : 163 - 177
  • [24] Fake News and COVID-19: Malaysian legal perspective
    Kamil, Ida Shafinaz Mohamed
    Malek, Mohd Dahlan A.
    [J]. ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL, 2024, 9 : 253 - 258
  • [25] Machine Learning to Identify Fake News for COVID-19
    Isaakidou, Marianna
    Zoulias, Emmanouil
    Diomidous, Marianna
    [J]. PUBLIC HEALTH AND INFORMATICS, PROCEEDINGS OF MIE 2021, 2021, 281 : 108 - 112
  • [26] Social media, fake news and fake COVID-19 cures in Nigeria
    Uwalaka, Temple
    Nwala, Bigman
    Chinedu, Amadi Confidence
    [J]. JOURNAL OF AFRICAN MEDIA STUDIES, 2021, 13 (03) : 435 - 449
  • [27] Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
    Apuke, Oberiri Destiny
    Omar, Bahiyah
    [J]. TELEMATICS AND INFORMATICS, 2021, 56
  • [28] Social media affordances and information abundance: Enabling fake news sharing during the COVID-19 health crisis
    Apuke, Oberiri Destiny
    Omar, Bahiyah
    [J]. HEALTH INFORMATICS JOURNAL, 2021, 27 (03)
  • [29] FibVID: Comprehensive fake news diffusion dataset during the COVID-19 period
    Kim, Jisu
    Aum, Jihwan
    Lee, SangEun
    Jang, Yeonju
    Park, Eunil
    Choi, Daejin
    [J]. TELEMATICS AND INFORMATICS, 2021, 64
  • [30] "Fake News" and Multiple Regimes of "Truth" During the COVID-19 Pandemic in Zimbabwe
    Ncube, Lyton
    Mare, Admire
    [J]. AFRICAN JOURNALISM STUDIES, 2022, 43 (02) : 71 - 89