This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1558) Natural Language Processing (917) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Mass Media/Social Media Communication and Campaigns (574) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance and Social Listening (313) Substance Abuse (530)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27307, first published .
Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Authors of this article:

Jason Turner1 Author Orcid Image ;   Mehmed Kantardzic1 Author Orcid Image ;   Rachel Vickers-Smith2 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Journals

  1. Hallinan C, Khademi Habibabadi S, Conway M, Bonomo Y, Grundy Q. Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. PLOS ONE 2023;18(1):e0269143 View
  2. Sivori T, Capron M, Graves D, Harris J, Schaaf R. Caregivers' views on cannabis use for their children with autism. Research in Autism Spectrum Disorders 2023;102:102130 View
  3. Yu J, Egger R. Looking behind the scenes at dark tourism: a comparison between academic publications and user-generated-content using natural language processing. Journal of Heritage Tourism 2022;17(5):548 View
  4. Wu D, Kasson E, Singh A, Ren Y, Kaiser N, Huang M, Cavazos-Rehg P. Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study. Journal of Medical Internet Research 2022;24(12):e39460 View
  5. Khademi S, Hallinan C, Conway M, Bonomo Y. Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review. Journal of Medical Internet Research 2023;25:e36667 View
  6. Khademi Habibabadi S, Hallinan C, Bonomo Y, Conway M. Consumer-Generated Discourse on Cannabis as a Medicine: Scoping Review of Techniques. Journal of Medical Internet Research 2022;24(11):e35974 View
  7. Turner J, Kantardzic M, Vickers-Smith R, Brown A. Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification. JMIR Infodemiology 2023;3:e38390 View
  8. Cho L, Tang J, Pitaro N, Bai H, Cooke P, Arvind V, Kim J, Ting W. Sentiment Analysis of Online Patient-Written Reviews of Vascular Surgeons. Annals of Vascular Surgery 2023;88:249 View
  9. Serrano-Guerrero J, Bani-Doumi M, Chiclana F, Romero F, Olivas J. How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining. Informatics for Health and Social Care 2024;49(1):14 View
  10. Zakrzewski D, Podlejska P, Kubziakowska W, Dzwilewski K, Waszak P, Zawadzka M, Mazurkiewicz-Bełdzińska M. Evaluating the Credibility and Reliability of Online Information on Cannabidiol (CBD) for Epilepsy Treatment in Poland. Healthcare 2024;12(8):830 View
  11. Ng J, Lad M, Patel D, Wang A. Applications of machine learning in cannabis research: A scoping review. European Journal of Integrative Medicine 2025;74:102434 View
  12. Dong F, Guo W, Liu J, Patterson T, Hong H. Pharmacovigilance in the digital age: gaining insight from social media data. Experimental Biology and Medicine 2025;250 View
  13. Feier J, Lin M, Awad M, Patel A, Vu C, Parsons J, Wallhagen M, Choi J. Social Media Perspectives on Over‐The‐Counter Hearing Aids: Sentiment and Thematic Analysis of Twitter (X) Data. Laryngoscope Investigative Otolaryngology 2025;10(4) View

Conference Proceedings

  1. Turner J, McDonald M, Hu H. 2023 IEEE 17th International Conference on Semantic Computing (ICSC). An Interdisciplinary Approach to Misinformation and Concept Drift in Historical Cannabis Tweets View
  2. Turner J, Gulum M, Kantardzic M. 2025 19th International Conference on Semantic Computing (ICSC). Efficient Semantic Detection and Analysis of Misinformation in CBD-Related Tweets Using FAISS and Mistral NeMo Instruct View