Understanding the online landscape of cannabis discourse: a Twitter analysis

被引:0
作者
Alvarez-Mon, Miguel Angel [1 ,2 ,3 ]
Ojeda, Carla [3 ]
Lara-Abelenda, Francisco [1 ,4 ]
del Barco, Angel Asunsolo [2 ,5 ,6 ]
Fraile-Martinez, Oscar [1 ,2 ]
Garcia-Montero, Cielo [1 ,2 ]
Fernandez-Rojo, Sonia [3 ]
Quintero, Javier [3 ,7 ]
Ortega, Miguel Angel [1 ,2 ]
Alvarez-Mon, Melchor [1 ,2 ,8 ]
Mora, Fernando [3 ,7 ]
机构
[1] Univ Alcala, Fac Med & Hlth Sci, Dept Med & Med Special, Alcala De Henares, Spain
[2] Ramon & Cajal Inst Sanit Res IRYCIS, Madrid, Spain
[3] Hosp Univ Infanta Leonor, Dept Psychiat & Mental Hlth, Madrid, Spain
[4] Univ Rey Juan Carlos, Escuela Tecn Super Ingn Telecomunicac, Dept Teoria Senal & Comunicac & Sistemas Telemat &, Fuenlabrada, Spain
[5] Univ Alcala, Fac Med & Hlth Sci, Dept Surg Med & Social Sci, Alcala De Henares, Spain
[6] Univ New York, Grad Sch Publ Hlth & Hlth Policy, Dept Epidemiol & Biostat, New York, NY USA
[7] Univ Complutense Madrid, Dept Legal & Psychiat, Madrid, Spain
[8] Univ Hosp Principe Asturias, CIBEREHD, Serv Internal Med & Immune Syst Dis Rheumatol, Alcala De Henares, Spain
关键词
cannabis; marihuana; hachis; Twitter; infodemiology; RECEPTOR EXPRESSION; UNITED-STATES; PREVALENCE; DISORDERS; ATTITUDES; HEALTH; YOUTH; RISK; LONG;
D O I
10.3389/fpubh.2025.1416171
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background and aims Consultations and admissions for pathologies related to cannabis use are growing ininterrumpedly. The lack of public awareness of the risks can have a negative impact on our society, as well as on new policy proposals. In response, we set out to investigate social media posts about cannabis to better understand the online environment in this regard.Design, setting, and measures The study will analyze a dataset of tweets posted between 2018 and 2022, written in Spanish, that include the keyword cannabis, marihuana, or hachis. A total of 68,673 tweets were included in our study. A subset of 500 posts for each keyword was manually analyzed by a researcher to establish a codebook. Subsequently, Machine Learning techniques were employed to analyze the remaining 67,173 comments using the established codebook. Finally, 32,646 of the remaining tweets were excluded as they contained information unrelated to the objectives of this study.Findings Our research reveals a pronounced Twitter user engagement with cannabis, primarily centered on its regulatory and health dimensions. In more detail, 73.2% of the analyzed tweets were in favor and only 3.5% of the population expressed against its regulation, whereas only 20.4% of the tweets discussed the negative effects of cannabis on physical or mental health. Additionally, 30.1% of the tweets are in favor of the therapeutic use of cannabis, while 69.9% of tweets manifest neutral or against therapeutic use. Our findings also show significant differences on these topics depending on the user type and between consumers versus non-consumers.Conclusion This analysis of tweets about cannabis provides information on experiences and opinions related to its use. Therefore, the perspectives of Twitter users constitute valuable input that can help improve physicians' knowledge about cannabis and their communication with patients about its dangerousness.
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页数:13
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