ArticleOral health & preventive dentistry2021
Topical Fluoride Applications Related Posts Analysis on Twitter Using Natural Language Processing.
Article in Oral health & preventive dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Factors associated with internet use to obtain oral health-related information.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2025Article
- Development and validation of a questionnaire about fluoride knowledge.Brazilian dental journal · 2025Article
- Hydroxyapatite in Oral Care Products: In vitro Effects on Erosion/Abrasion and Analysis of Formulation Components.Caries research · 2025Article
- Content analysis of fluoride-related posts on Instagram.BMC oral health · 2024Article
- Dental Practice Websites in Germany-How Do They Inform about Fluoridation?Dentistry journal · 2024Article
- Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study.Journal of medical Internet research · 2023Article
- Psychophysiological Reactions of Internet Users Exposed to Fluoride Information and Disinformation: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study.Journal of medical Internet research · 2022Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSocial media is today a comprehensive source of data that can serve as a guide to professionals in issues related to public health. The purpose of this paper is to investigate the content of topical fluoride-related Twitter posts made over a 3-year period in order to improve our understanding of Twitter users' perceptions and treatment experiences. MATERIALS AND
methodsA continuous cross-sectional sample of Tweets on the subject of 'approaches to the topical fluoride treatment of tooth decay' was collected from the Twitter social networking platform between 1 January 2017 and 1 January 2020 using a software application developed for this research that makes use of the Twitter advanced search API. The words and phrases used for the identification of related Tweets were determined through a screening of the topical fluoride keywords of previous studies, and a search was conducted in the English language. To better arrange the collected Tweets and to make the data more meaningful, firstly one of the natural language process techniques - Tokenization - was applied, after which the Tweets were converted into a set of meaningful words and regular expressions. The Tweets were then compared with each other, word-by-word, with the help of a word-based Levenshtein distance algorithm, after which two experts in the computational social science domain labelled each Tweet.
resultsA total of 132,358 Tweeter posts referencing topical fluoride applications were collected, of which 110,847 were eliminated through the use of a word-based Levenshtein distance algorithm, and the remaining corpus of 21,511 posts was analysed and evaluated for specific content. Within the garnered data, 48.5% (n = 10,428) of the Tweeter posts concerned topical fluoride treatments, and 7% (n = 1,507) reported experiences with topical fluoride treatment. Negative Tweeter posts about topical fluoride treatment (5,679, 26.4%) vastly outnumbered those that were positive (3,897, 18.1%).
conclusionThe current study achieved its main objectives of analysing topical fluoride application-related posts made on social media. From the garnered Twitter data, it can be understood that Twitter users regularly share their concerns and negative sentiments about the side effects of topical fluoride treatments on the platform. Future explorations of social media may aid public health and dental professionals in the development of strategies to educate the public and to raise awareness of the importance of topical fluoride applications.
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