Online disinformation on Facebook: the spread of fake news during the Portuguese 2019 election

被引:20
|
作者
Baptista, Joao Pedro [1 ,2 ]
Gradim, Anabela [1 ,2 ]
机构
[1] Univ Beira Interior UBI, Dept Commun Philosophy & Polit, Covilha, Portugal
[2] Labcom Commun & Arts, Covilha, Portugal
关键词
Fake news; Facebook; engagement; social media; partisanship;
D O I
10.1080/14782804.2020.1843415
中图分类号
K9 [地理];
学科分类号
0705 ;
摘要
Elections worldwide have been marked by the spread of fake news. Online disinformation is everywhere, used as a political weapon in the battlefield of manipulation. This study focused on the Portuguese 2019 elections to assess the reach of fake news compared to mainstream media news and to verify whether fake news had specific targets. We reviewed all posts (N=1197) from newspaper Facebook pages and fake news Facebook pages published during the campaign to verify their engagement. BuzzSumo assessed popularity by counting all posts' shares, reactions and comments. Iramuteq software related the content of all published headlines by analyzing clusters of the most frequent words. Findings show that fake news had no greater reach than real news during the election campaign. However, fake news are more likely to be shared, while real news tend to get more reactions and more comments. In fake news headlines the terms associated with left-wing and government are the most common. The prime minister and the Socialist Party are associated with negative connotations. Results suggest that Portuguese fake news are related to rightwing extremism and publish hate content targeting corruption and leftist policies in general. Unlike other countries, anti-immigration discourse and fearmongering were not prominent contents.
引用
收藏
页码:297 / 312
页数:16
相关论文
共 50 条
  • [21] Fake news on Twitter during the 2016 US presidential election
    Grinberg, Nir
    Joseph, Kenneth
    Friedland, Lisa
    Swire-Thompson, Briony
    Lazer, David
    [J]. SCIENCE, 2019, 363 (6425) : 374 - +
  • [22] Online Fake News Opinion Spread and Belief Change: A Systematic Review
    Altoe, Filipe
    Moreira, Catarina
    Pinto, H. Sofia
    Jorge, Joaquim A.
    [J]. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2024, 2024
  • [23] POLITICAL LANGUAGE AND FAKE NEWS Some considerations from the 2019 election in Indonesia
    Duile, Timo
    Tamma, Sukri
    [J]. INDONESIA AND THE MALAY WORLD, 2021, 49 (143) : 82 - 105
  • [24] Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
    Choras, Michal
    Demestichas, Konstantinos
    Gielczyk, Agata
    Herrero, Alvaro
    Ksieniewicz, Pawel
    Remoundou, Konstantina
    Urda, Daniel
    Wozniak, Michal
    [J]. APPLIED SOFT COMPUTING, 2021, 101
  • [25] Multimodal disinformation about otherness on the internet. The spread of racist, xenophobic and Islamophobic fake news in 2020
    Gamir-Rios, Jose
    Tarullo, Raquel
    Ibanez-Cuquerella, Miguel
    [J]. ANALISI-QUADERNS DE COMUNICACIO I CULTURA, 2021, (64): : 49 - 64
  • [26] Libraries Fight Disinformation: An Analysis of Online Practices to Help Users' Generations in Spotting Fake News
    Herrero-Diz, Paula
    Lopez-Rufino, Clara
    [J]. SOCIETIES, 2021, 11 (04):
  • [27] Influence of fake news in Twitter during the 2016 US presidential election
    Alexandre Bovet
    Hernán A. Makse
    [J]. Nature Communications, 10
  • [28] Influence of fake news in Twitter during the 2016 US presidential election
    Bovet, Alexandre
    Makse, Hernan A.
    [J]. NATURE COMMUNICATIONS, 2019, 10 (1)
  • [29] The European Union's fight against disinformation and fake news during the coronavirus crisis
    Neubauer-Esteban, Adrian
    [J]. JOURNAL OF LEARNING STYLES, 2020, 13 (26): : 50 - 60
  • [30] Recursion theory and the 'death tax' Investigating a fake news discourse in the 2019 Australian election
    Carson, Andrea
    Gibbons, Andrew
    Phillips, Justin B.
    [J]. JOURNAL OF LANGUAGE AND POLITICS, 2021, 20 (05) : 696 - 718