Deciphering Influence on Social Media: A Comparative Analysis of Influential Account Detection Metrics in the Context of Tobacco Promotion
- PMID: 39575100
- PMCID: PMC11580628
- DOI: 10.1177/20563051231224268
Deciphering Influence on Social Media: A Comparative Analysis of Influential Account Detection Metrics in the Context of Tobacco Promotion
Abstract
Influencer marketing spending in the United States was expected to surpass $6 billion in 2023. This marketing tactic poses a public health threat, as research suggests it has been utilized to undercut decades of public health progress-such as gains made against tobacco use among adolescents. Public health and public opinion researchers need practical tools to capture influential accounts on social media. Utilizing X (formerly Twitter) little cigar and cigarillo (LCC) data, we compared seven influential account detection metrics to help clarify our understanding of the functions of existing metrics and the nature of social media discussion of tobacco products. Results indicate that existing influential account detection metrics are non-harmonic and time-sensitive, capturing distinctly different users and categorically different user types. Our results also reveal that these metrics capture distinctly different conversations among influential social media accounts. Our findings suggest that public health and public opinion researchers hoping to conduct analyses of influential social media accounts need to understand each metric's benefits and limitations and utilize more than one influential account detection metric to increase the likelihood of producing valid and reliable research.
Keywords: influencer; influential accounts; method; public health; social media.
Conflict of interest statement
Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Similar articles
-
'Sweeter Than a Swisher': amount and themes of little cigar and cigarillo content on Twitter.Tob Control. 2016 Oct;25(Suppl 1):i75-i82. doi: 10.1136/tobaccocontrol-2016-053094. Tob Control. 2016. PMID: 27697951 Free PMC article.
-
Compliance With the US Food and Drug Administration's Guidelines for Health Warning Labels and Engagement in Little Cigar and Cigarillo Content: Computer Vision Analysis of Instagram Posts.JMIR Infodemiology. 2023 Mar 14;3:e41969. doi: 10.2196/41969. eCollection 2023. JMIR Infodemiology. 2023. PMID: 37113379 Free PMC article.
-
Identifying Twitter influencer profiles for health promotion in Saudi Arabia.Health Promot Int. 2017 Jun 1;32(3):456-463. doi: 10.1093/heapro/dav103. Health Promot Int. 2017. PMID: 26516181
-
What Is Influencer Marketing and How Does It Target Children? A Review and Direction for Future Research.Front Psychol. 2019 Dec 3;10:2685. doi: 10.3389/fpsyg.2019.02685. eCollection 2019. Front Psychol. 2019. PMID: 31849783 Free PMC article. Review.
-
Review of Evaluation Metrics Used in Digital and Traditional Tobacco Control Campaigns.J Med Internet Res. 2020 Aug 11;22(8):e17432. doi: 10.2196/17432. J Med Internet Res. 2020. PMID: 32348272 Free PMC article. Review.
Cited by
-
Analysis of cigar marketing expenditures by product category, placement strategy and geolocation in the USA, from 2017 to 2022.Tob Control. 2024 Oct 17:tc-2024-058812. doi: 10.1136/tc-2024-058812. Online ahead of print. Tob Control. 2024. PMID: 39419608
References
-
- American Lung Association. (2023). Tobacco control milestones. https://www.lung.org/research/sotc/tobacco-timeline
-
- Anspach NM (2017). The new personal influence: How our Facebook friends influence the news we read. Political Communication, 34(4), 590–606. 10.1080/10584609.2017.1316329 - DOI
Grants and funding
LinkOut - more resources
Full Text Sources