Literature DB >> 32250961

COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran.

Peivand Bastani1, Mohammad Amin Bahrami1.   

Abstract

BACKGROUND: Background: During outbreaks of diseases a great amount of health threatening misinformation is produced and released. In the web-2 era much of this misinformation is disseminated via social media where information could spread easily and quickly. Monitoring social media content provides crucial insights for health managers to manage the crisis.
OBJECTIVE: Objective: Given the misinformation surrounding COVID-19 outbreak, this study was aimed to analyze contents of the most commonly used social networks in Iran that is among the affected countries.
METHODS:
Methods: A social media monitoring conducted through a qualitative design to analyze the discussions of social media users about the content related to COVID-19 transferred via Iranian medical faculty members` groups in Telegram and Whats App during Feb 20 to March 20, 2020 emphasizing the misinformation. Discourse analysis was applied and the written dialogues and discussions regarding misinformation about different aspects of the outbreak between medical faculty members all over the country were analyzed.
RESULTS:
Results: Cultural factors, demand pressure for information during the crisis, the easiness of information dissemination via social networks, marketing incentives and the poor legal supervision of online contents are the main reasons of misinformation dissemination. Disease statistics; treatments, vaccines and medicines; prevention and protection methods; dietary recommendations and disease transmission ways are the main subjective categories of releasing misinformation regarding novel coronavirus outbreak. Consequences of misinformation dissemination regarding disease include psychosocial; economic; health status; health system and ethical ones. Active and effective presence of health professionals and authorities on social media during the crisis and the improvement of public health literacy in the long term are the most recommended strategies for dealing with issues related to misinformation.
CONCLUSIONS:
Conclusion: This study contributes the management of COVID-19 outbreak trough providing applicable insights for health managers to manage public information in this challenging time.

Entities:  

Year:  2020        PMID: 32250961     DOI: 10.2196/18932

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  39 in total

1.  Misinformation about spinal manipulation and boosting immunity: an analysis of Twitter activity during the COVID-19 crisis.

Authors:  Greg Kawchuk; Jan Hartvigsen; Steen Harsted; Casper Glissmann Nim; Luana Nyirö
Journal:  Chiropr Man Therap       Date:  2020-06-09

2.  Community Level of COVID-19 Information Exposure and Influencing Factors in Northwest Ethiopia.

Authors:  Animut Tagele Tamiru; Bayew Kelkay Rade; Eden Bishaw Taye; Zelalem Nigussie Azene; Mehari Woldemariam Merid; Atalay Goshu Muluneh; Getahun Molla Kassa; Melaku Kindie Yenit; Asefa Adimasu Taddese; Kassahum Alemu Gelaye; Demiss Mulatu Geberu; Sewbesew Yitayih Tilahun; Habtamu Sewunet Mekonnen; Abere Woretaw Azagew; Chalachew Adugna Webneh; Getaneh Mulualem Belay; Nega Tezera Assimamaw; Chilot Desta Agegnehu; Telake Azale; Zewudu Andualem; Henok Dagne; Kiros Terefe Gashaye; Gebisa Guyasa Kabito; Tesfaye Hambisa Mekonnen; Sintayehu Daba; Jember Azanaw; Tsegaye Adane; Mekuriaw Alemayehu
Journal:  Risk Manag Healthc Policy       Date:  2020-11-17

3.  COVID-19-related misinformation on social media: a systematic review.

Authors:  Elia Gabarron; Sunday Oluwafemi Oyeyemi; Rolf Wynn
Journal:  Bull World Health Organ       Date:  2021-03-19       Impact factor: 9.408

4.  COVID-19-Related Factors Associated with Sleep Disturbance and Suicidal Thoughts among the Taiwanese Public: A Facebook Survey.

Authors:  Dian-Jeng Li; Nai-Ying Ko; Yi-Lung Chen; Peng-Wei Wang; Yu-Ping Chang; Cheng-Fang Yen; Wei-Hsin Lu
Journal:  Int J Environ Res Public Health       Date:  2020-06-22       Impact factor: 3.390

5.  Characteristics of YouTube Videos in Spanish on How to Prevent COVID-19.

Authors:  Ignacio Hernández-García; Teresa Giménez-Júlvez
Journal:  Int J Environ Res Public Health       Date:  2020-06-29       Impact factor: 3.390

6.  COVID-19-Related Information Sources and the Relationship With Confidence in People Coping with COVID-19: Facebook Survey Study in Taiwan.

Authors:  Peng-Wei Wang; Wei-Hsin Lu; Cheng-Fang Yen; Nai-Ying Ko; Yi-Lung Chen; Dian-Jeng Li; Yu-Ping Chang
Journal:  J Med Internet Res       Date:  2020-06-05       Impact factor: 5.428

7.  Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study.

Authors:  Tim Mackey; Vidya Purushothaman; Jiawei Li; Neal Shah; Matthew Nali; Cortni Bardier; Bryan Liang; Mingxiang Cai; Raphael Cuomo
Journal:  JMIR Public Health Surveill       Date:  2020-06-08

8.  COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study.

Authors:  Wenqiang Yin; Hongwei Guo; Zina Fan; Han Zhang; Dandan Wang; Chengxin Fan; Zhongming Chen; Jinwei Hu; Dongping Ma
Journal:  J Med Internet Res       Date:  2021-07-16       Impact factor: 5.428

9.  Misinformation about spinal manipulation and boosting immunity: an analysis of Twitter activity during the COVID-19 crisis.

Authors:  Greg Kawchuk; Jan Hartvigsen; Steen Harsted; Casper Glissmann Nim; Luana Nyirö
Journal:  Chiropr Man Therap       Date:  2020-06-09

10.  Social Media in the Times of COVID-19.

Authors:  Ashish Goel; Latika Gupta
Journal:  J Clin Rheumatol       Date:  2020-09       Impact factor: 3.517

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