2021
DOI: 10.1177/14614448211038762
|View full text |Cite
|
Sign up to set email alerts
|

Health-related fake news on social media platforms: A systematic literature review

Abstract: This review aims to (a) investigate the characteristics of both the research community and the published research on health-related fake news on social media platforms, and (b) identify the challenges and provide recommendations for future research on the subject. We reviewed 69 journal articles found in the main academic databases up to April 2021. The studies extracted data mainly from Twitter, YouTube, and Facebook. Most articles aimed to investigate the public’s reaction to fake health information, conclud… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
24
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 41 publications
(25 citation statements)
references
References 84 publications
(148 reference statements)
0
24
0
Order By: Relevance
“…The misinformation “tsunami” about COVID-19 has received extensive attention by the rapidly sprawling literature in communication, health sciences, and psychology that focused on (1) which cognitive processes may increase individual susceptibility to false information ( Bastick, 2021 ; Greifeneder et al, 2020 ; Pennycook & Rand, 2019 , 2021 ; Pennycook et al, 2018 , Vegetti & Mancosu, 2020 ), (2) how the social media ecosystem can facilitate the spread of misleading content ( Bridgman et al, 2020 ; Caldarelli et al, 2021 ; Papakyriakopoulos et al, 2021 ; Yang et al 2021 ) and (3) how disinformation impacts individual compliance with government COVID-19 guidelines and willingness to get vaccinated ( Dib et al, 2021 ; Kreps & Kriner, 2020 , Roozenbeek et al, 2020 ; Loomba et al 2021 ; Wilson & Wiysonge, 2021 ). A comprehensive discussion of this vast literature has been provided elsewhere (see Melchior, et al, 2021 ; Rocha et al, 2021 ). We single out studies that are most relevant to ours.…”
Section: Disinformation and Consumer Confidence: A Conceptual Modelmentioning
confidence: 99%
“…The misinformation “tsunami” about COVID-19 has received extensive attention by the rapidly sprawling literature in communication, health sciences, and psychology that focused on (1) which cognitive processes may increase individual susceptibility to false information ( Bastick, 2021 ; Greifeneder et al, 2020 ; Pennycook & Rand, 2019 , 2021 ; Pennycook et al, 2018 , Vegetti & Mancosu, 2020 ), (2) how the social media ecosystem can facilitate the spread of misleading content ( Bridgman et al, 2020 ; Caldarelli et al, 2021 ; Papakyriakopoulos et al, 2021 ; Yang et al 2021 ) and (3) how disinformation impacts individual compliance with government COVID-19 guidelines and willingness to get vaccinated ( Dib et al, 2021 ; Kreps & Kriner, 2020 , Roozenbeek et al, 2020 ; Loomba et al 2021 ; Wilson & Wiysonge, 2021 ). A comprehensive discussion of this vast literature has been provided elsewhere (see Melchior, et al, 2021 ; Rocha et al, 2021 ). We single out studies that are most relevant to ours.…”
Section: Disinformation and Consumer Confidence: A Conceptual Modelmentioning
confidence: 99%
“…Reliable information and effective communication are essential for health education at all levels. Access to health knowledge has been facilitated by social media platforms (SMP) and the internet, but some common problems are the low quality of health information, the sharing of fake news, and the deficient presence of health agencies and professionals, which challenge the credibility of health information 1 …”
Section: Problemmentioning
confidence: 99%
“…Access to health knowledge has been facilitated by social media platforms (SMP) and the internet, but some common problems are the low quality of health information, the sharing of fake news, and the deficient presence of health agencies and professionals, which challenge the credibility of health information. 1 The dissemination of health information must be qualified, with content and language appropriate to the target audience. However, undergraduate students generally lack practical training in health communication and evidencebased dissemination and facilitation skills.…”
Section: Problemmentioning
confidence: 99%
“…Network-based characteristics are retrieved and utilized to demonstrate the different processes by which various kinds of networks are built. It is critical to advance this basic work to investigate how additional networks can be created in terms of other characteristics of interactions among relevant individuals and posts and more important network modeling approaches, such as network embedding that can be used to describe connections [46].…”
Section: Fake News Detection Taxonomymentioning
confidence: 99%
“…Naive Objectivity. Consumers feel that their version of reality is the only correct one, and those who disagree are considered uneducated, illogical, or prejudiced [46].…”
Section: Fake News Detection Based On Textual Contentmentioning
confidence: 99%