Analysis of fake news disseminated during the COVID-19 pandemic in Brazil

被引:18
|
作者
de Barcelos, Thaina do Nascimento [1 ]
Muniz, Luiza Nepomuceno [2 ]
Dantas, Deborah Marinho [2 ]
Cotrim Junior, Dorival Fagundes [3 ]
Cavalcante, Joao Roberto [3 ]
Faerstein, Eduardo [3 ]
机构
[1] Univ Estado Rio de Janeiro UERJ, Inst Nutr, Rio De Janeiro, RJ, Brazil
[2] Univ Estado Rio de Janeiro UERJ, Inst Ciencias Sociais, Rio De Janeiro, RJ, Brazil
[3] Univ Estado Rio de Janeiro UERJ, Inst Med Social, Rio De Janeiro, RJ, Brazil
关键词
Coronavirus infections; internet access; communications media; social media; global health; public health Brazil;
D O I
10.26633/RPSP.2021.65
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective. To describe the characteristics of fake news about COVID-19 disseminated in Brazil from January to June 2020. Method. The fake news recorded until 30 June 2020 in two websites (Globo Corporation website G1 and Ministry of Health) were collected and categorized according to their content. From each piece of fake news, the following information was extracted: publication date, title, channel (e.g., WhatsApp), format (text, photo, video), and website in which it was recorded. Terms were selected from fake news titles for analysis in Google Trends to determine whether the number of searches using the selected terms had increased after the fake news appeared. The Brazilian regions with the highest percent increase in searches using the terms were also identified. Results. In the two websites, 329 fake news about COVID-19 were retrieved. Most fake news were spread through WhatsApp and Facebook. The most frequent thematic categories were: politics (20.1%), epidemiology and statistics (e.g., proportion of cases and deaths) (19.5%), and prevention (16.1%). According to Google Trends, the number of searches using the terms retrieved from the fake news increased 34.3% during the period studied. The largest increase was recorded in the Southeast (45.1%) and the Northeast (27.8%). Conclusions. The fake news spread during the first 6 months of the COVID-19 pandemic in Brazil were characterized by political content as well as misinformation about the number of cases and deaths and about prevention measures and treatment. The main dissemination channels were WhatsApp and Facebook, with the use of messages, images, and videos, with greater reach in the Southeast and Northeast of Brazil.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Fake news and covid-19: a concern due to the low vaccine coverage in Brazil
    Fujita, Dennis Minoru
    da Silva Nali, Luiz Henrique
    Sartori, Giselle Pacifico
    Galisteo, Andres Jimenez
    de Andrade Jr, Heitor Franco
    de Albuquerque Luna, Expedito Jose
    [J]. SAUDE E SOCIEDADE, 2022, 31 (01):
  • [32] Spatio-temporal approach for classification of COVID-19 pandemic fake news
    Agarwal, I. Y.
    Rana, D. P.
    Shaikh, M.
    Poudel, S.
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2022, 12 (01)
  • [33] Fake News and pseudoscience: the politicization of speeches about Covid-19 on Twitter in Brazil
    De Oliveira, Diogo Lopes
    Golzio, Derval Gomes
    De Souza, Joao Pedro Israel
    [J]. CHASQUI-REVISTA LATINOAMERICANA DE COMUNICACION, 2023, (153): : 271 - 290
  • [34] AN ANALYSIS OF TRANSMEDIA COMMUNICATION IN TELEVISIONS NEWS DURING THE COVID-19 PANDEMIC
    Cedeno, Karla Carolina Lopez
    Orellana, Samanta Patricia Cueva
    [J]. REVISTA CONRADO, 2024, 20 (98): : 275 - 284
  • [35] Going viral: doctors must tackle fake news in the covid-19 pandemic
    O'Connor, Cathal
    Murphy, Michelle
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2020, 369
  • [36] The rhetoric of reaction and the disinformation campaign in fake news about the Covid-19 pandemic
    Eufrazio de Lima, Joao Paulo
    [J]. REVISTA DE ESTUDOS DA LINGUAGEM, 2021, 29 (04) : 2429 - 2461
  • [37] Spatio-temporal approach for classification of COVID-19 pandemic fake news
    I. Y. Agarwal
    D. P. Rana
    M. Shaikh
    S. Poudel
    [J]. Social Network Analysis and Mining, 2022, 12
  • [38] Fake news about the COVID-19 pandemic: perception of health professionals and their families
    Barreto, Mayckel da Silva
    Caram, Carolina da Silva
    Santos, Jose Luis Guedes dos
    Souza, Rebeca Rosa de
    Goes, Herbert Leopoldo de Freitas
    Marcon, Sonia Silva
    [J]. REVISTA DA ESCOLA DE ENFERMAGEM DA USP, 2021, 55
  • [39] Fake News Shared on WhatsApp During Covid-19: An Analysis of Groups and Statuses in Pakistan
    Ahmed, Masroor
    Riaz, Muhammad Qamar
    Qamar, Munazza
    Asghar, Rohail
    [J]. MEDIA EDUCATION-MEDIAOBRAZOVANIE, 2021, (01): : 4 - 17
  • [40] Machine Learning Approach to Detect Fake News, Misinformation in COVID-19 Pandemic
    Bojjireddy, Sirisha
    Chun, Soon Ae
    Geller, James
    [J]. PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2021, 2021, : 575 - 578