Your browser doesn't support javascript.
loading
Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study.
Allem, Jon-Patrick; Dormanesh, Allison; Majmundar, Anuja; Unger, Jennifer B; Kirkpatrick, Matthew G; Choube, Akshat; Aithal, Aneesh; Ferrara, Emilio; Boley Cruz, Tess.
Afiliação
  • Allem JP; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Dormanesh A; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Majmundar A; American Cancer Society, Washington, DC, United States.
  • Unger JB; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Kirkpatrick MG; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Choube A; Department of Computer Science, University of Southern California, Los Angeles, CA, United States.
  • Aithal A; Department of Computer Science, University of Southern California, Los Angeles, CA, United States.
  • Ferrara E; Department of Computer Science, University of Southern California, Los Angeles, CA, United States.
  • Boley Cruz T; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
J Med Internet Res ; 23(6): e25579, 2021 06 07.
Article em En | MEDLINE | ID: mdl-34096875
BACKGROUND: Cultural trends in the United States, the nicotine consumer marketplace, and tobacco policies are changing. OBJECTIVE: The goal of this study was to identify and describe nicotine-related topics of conversation authored by the public and social bots on Twitter, including any misinformation or misconceptions that health education campaigns could potentially correct. METHODS: Twitter posts containing the term "nicotine" were obtained from September 30, 2018 to October 1, 2019. Methods were used to distinguish between posts from social bots and nonbots. Text classifiers were used to identify topics in posts (n=300,360). RESULTS: Prevalent topics of posts included vaping, smoking, addiction, withdrawal, nicotine health risks, and quit nicotine, with mentions of going "cold turkey" and needing help in quitting. Cessation was a common topic, with mentions of quitting and stopping smoking. Social bots discussed unsubstantiated health claims including how hypnotherapy, acupuncture, magnets worn on the ears, and time spent in the sauna can help in smoking cessation. CONCLUSIONS: Health education efforts are needed to correct unsubstantiated health claims on Twitter and ultimately direct individuals who want to quit smoking to evidence-based cessation strategies. Future interventions could be designed to follow these topics of discussions on Twitter and engage with members of the public about evidence-based cessation methods in near real time when people are contemplating cessation.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Abandono do Hábito de Fumar / Mídias Sociais / Sistemas Eletrônicos de Liberação de Nicotina / Vaping Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Abandono do Hábito de Fumar / Mídias Sociais / Sistemas Eletrônicos de Liberação de Nicotina / Vaping Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article