Fake News and Covid-19 in Italy: Results of a Quantitative Observational Study

被引:83
|
作者
Moscadelli, Andrea [1 ]
Albora, Giuseppe [1 ]
Biamonte, Massimiliano Alberto [1 ]
Giorgetti, Duccio [1 ]
Innocenzio, Michele [1 ]
Paoli, Sonia [1 ]
Lorini, Chiara [1 ]
Bonanni, Paolo [1 ]
Bonaccorsi, Guglielmo [1 ]
机构
[1] Univ Florence, Dept Hlth Sci, I-50134 Florence, Italy
关键词
social media; health literacy; Covid-19; coronavirus; fake news; BuzzSumo;
D O I
10.3390/ijerph17165850
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During the Covid-19 pandemic, risk communication has often been ineffective, and from this perspective "fake news" has found fertile ground, both as a cause and a consequence of it. The aim of this study is to measure how much "fake news" and corresponding verified news have circulated in Italy in the period between 31 December 2019 and 30 April 2020, and to estimate the quality of informal and formal communication. We used the BuzzSumo application to gather the most shared links on the Internet related to the pandemic in Italy, using keywords chosen according to the most frequent "fake news" during that period. For each research we noted the numbers of "fake news" articles and science-based news articles, as well as the number of engagements. We reviewed 2102 articles. Links that contained fake news were shared 2,352,585 times, accounting for 23.1% of the total shares of all the articles reviewed. Our study throws light on the "fake news" phenomenon in the SARS-CoV-2 pandemic. A quantitative assessment is fundamental in order to understand the impact of false information and to define political and technical interventions in health communication. Starting from this evaluation, health literacy should be improved by means of specific interventions in order to improve informal and formal communication.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [11] Fake News and COVID-19 Vaccination: A Comparative Study
    Jouyandeh, Farzaneh
    Sadeghi, Sarvnaz
    Rahmatikargar, Bahareh
    Zadeh, Pooya Moradian
    PROCEEDINGS OF THE 2021 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2021, 2021, : 525 - 531
  • [12] Regulation of COVID-19 fake news infodemic in China and India
    Rodrigues, Usha M.
    Xu, Jian
    MEDIA INTERNATIONAL AUSTRALIA, 2020, 177 (01) : 125 - 131
  • [13] COVID-19 Fake News Detector
    Liu, Junjie
    Chen, Min
    2023 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC, 2023, : 463 - 467
  • [14] Inoculating Against Fake News About COVID-19
    van Der Linden, Sander
    Roozenbeek, Jon
    Compton, Josh
    FRONTIERS IN PSYCHOLOGY, 2020, 11
  • [15] Toxic Fake News Detection and Classification for Combating COVID-19 Misinformation
    Wani, Mudasir Ahmad
    ELAffendi, Mohammad
    Shakil, Kashish Ara
    Abuhaimed, Ibrahem Mohammed
    Nayyar, Anand
    Hussain, Amir
    Abd El-Latif, Ahmed A.
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (04) : 5101 - 5118
  • [16] Fake News and COVID-19: Malaysian legal perspective
    Kamil, Ida Shafinaz Mohamed
    Malek, Mohd Dahlan A.
    ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL, 2024, 9 : 253 - 258
  • [17] An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information
    Al-Ahmad, Bilal
    Al-Zoubi, Ala' M.
    Abu Khurma, Ruba
    Aljarah, Ibrahim
    SYMMETRY-BASEL, 2021, 13 (06):
  • [18] Machine Learning to Identify Fake News for COVID-19
    Isaakidou, Marianna
    Zoulias, Emmanouil
    Diomidous, Marianna
    PUBLIC HEALTH AND INFORMATICS, PROCEEDINGS OF MIE 2021, 2021, 281 : 108 - 112
  • [19] Social Media, Fake News and Covid-19 Vaccine Hesitancy in Zimbabwe
    Chiweshe, Manase Kudzai
    Dandah, Gerald
    AFRICA REVIEW, 2024, 16 (01) : 14 - 31
  • [20] The Power of Fake News: Big Data Analysis of Discourse about COVID-19 Related Fake News in South Korea
    Jang, Sou Hyun
    Jung, Kyoung Eun
    Yi, Yong Jeong
    INTERNATIONAL JOURNAL OF COMMUNICATION, 2023, 17 : 5527 - 5553