Cargando…
Characteristics of Facebook’s third-party medical fact checkers
INTRODUCTION: Social media websites, such as Facebook, have made an effort to monitor and label news stories and op-eds that could be false or misleading. As such, we sought to evaluate fact checkers for news stories and op-eds that circulate on Facebook. METHODS: We searched all articles on HealthF...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393657/ https://www.ncbi.nlm.nih.gov/pubmed/36003316 http://dx.doi.org/10.1177/20552076221120318 |
_version_ | 1784771316919828480 |
---|---|
author | Haslam, Alyson Prasad, Vinay |
author_facet | Haslam, Alyson Prasad, Vinay |
author_sort | Haslam, Alyson |
collection | PubMed |
description | INTRODUCTION: Social media websites, such as Facebook, have made an effort to monitor and label news stories and op-eds that could be false or misleading. As such, we sought to evaluate fact checkers for news stories and op-eds that circulate on Facebook. METHODS: We searched all articles on HealthFeedback.org for names of reviewers and other quoted individuals cited in the article and their professional titles. We searched Twitter on March 10, 2021, to see whether the reviewers and quoted individuals had an account and noted the number of Twitter followers. RESULTS: The median number of followers on Twitter for reviewers was 10,000 (since January 2020) versus 1012 (prior to January 2020; p = 0.007). The median number of followers on Twitter for quoted individuals was 153,050 (since January 2020) versus 314 (prior to January 2020; p = 0.04). CONCLUSION: Current fact-checking processes appear to be strongly associated with large Twitter followings. Greater transparency in the process of determining misinformation is needed. |
format | Online Article Text |
id | pubmed-9393657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93936572022-08-23 Characteristics of Facebook’s third-party medical fact checkers Haslam, Alyson Prasad, Vinay Digit Health Brief Communication INTRODUCTION: Social media websites, such as Facebook, have made an effort to monitor and label news stories and op-eds that could be false or misleading. As such, we sought to evaluate fact checkers for news stories and op-eds that circulate on Facebook. METHODS: We searched all articles on HealthFeedback.org for names of reviewers and other quoted individuals cited in the article and their professional titles. We searched Twitter on March 10, 2021, to see whether the reviewers and quoted individuals had an account and noted the number of Twitter followers. RESULTS: The median number of followers on Twitter for reviewers was 10,000 (since January 2020) versus 1012 (prior to January 2020; p = 0.007). The median number of followers on Twitter for quoted individuals was 153,050 (since January 2020) versus 314 (prior to January 2020; p = 0.04). CONCLUSION: Current fact-checking processes appear to be strongly associated with large Twitter followings. Greater transparency in the process of determining misinformation is needed. SAGE Publications 2022-08-17 /pmc/articles/PMC9393657/ /pubmed/36003316 http://dx.doi.org/10.1177/20552076221120318 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Brief Communication Haslam, Alyson Prasad, Vinay Characteristics of Facebook’s third-party medical fact checkers |
title | Characteristics of Facebook’s third-party medical fact
checkers |
title_full | Characteristics of Facebook’s third-party medical fact
checkers |
title_fullStr | Characteristics of Facebook’s third-party medical fact
checkers |
title_full_unstemmed | Characteristics of Facebook’s third-party medical fact
checkers |
title_short | Characteristics of Facebook’s third-party medical fact
checkers |
title_sort | characteristics of facebook’s third-party medical fact
checkers |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393657/ https://www.ncbi.nlm.nih.gov/pubmed/36003316 http://dx.doi.org/10.1177/20552076221120318 |
work_keys_str_mv | AT haslamalyson characteristicsoffacebooksthirdpartymedicalfactcheckers AT prasadvinay characteristicsoffacebooksthirdpartymedicalfactcheckers |