2022
DOI: 10.2196/40331
|View full text |Cite
|
Sign up to set email alerts
|

The Influence of Provaping “Gatewatchers” on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic

Abstract: Background There is a lot of misinformation about a potential protective role of nicotine against COVID-19 spread on Twitter despite significant evidence to the contrary. We need to examine the role of vape advocates in the dissemination of such information through the lens of the gatewatching framework, which posits that top users can amplify and exert a disproportionate influence over the dissemination of certain content through curating, sharing, or, in the case of Twitter, retweeting it, servin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 58 publications
0
1
0
Order By: Relevance
“…Fifth, our utilization of VADER for sentiment analysis is rule-based and sensitive to sarcasm, which might lead to some biased results. Sixth, considering Twitter's strong contingent of anti-regulatory voices that contribute disproportionately to tobacco control policy discourse, our Twitter data analysis might not fully represent the general public's perceptions [38,39]. Additionally, since not all tweets contain valid location information of Twitter users, the data we collected only focuses on users willing to provide their geographic locations in the US, which introduces a potential bias in our study.…”
Section: Limitationsmentioning
confidence: 99%
“…Fifth, our utilization of VADER for sentiment analysis is rule-based and sensitive to sarcasm, which might lead to some biased results. Sixth, considering Twitter's strong contingent of anti-regulatory voices that contribute disproportionately to tobacco control policy discourse, our Twitter data analysis might not fully represent the general public's perceptions [38,39]. Additionally, since not all tweets contain valid location information of Twitter users, the data we collected only focuses on users willing to provide their geographic locations in the US, which introduces a potential bias in our study.…”
Section: Limitationsmentioning
confidence: 99%