Content analysis of substance use disorder recovery discourse on Twitter: From personal recovery narratives to marketing of addiction treatment

被引:0
|
作者
Russell, Alex M. [1 ,2 ]
Valdez, Danny [3 ]
Wang, Mingxuan [1 ,2 ]
Allem, Jon-Patrick [4 ]
Bergman, Brandon G. [1 ,2 ]
Kelly, John F. [1 ,2 ]
Litt, Dana M. [5 ]
Massey, Philip M. [6 ]
机构
[1] Massachusetts Gen Hosp, Recovery Res Inst, 151 Merrimac St,4th Floor, Boston, MA 02114 USA
[2] Harvard Med Sch, Boston, MA USA
[3] Indiana Univ, Sch Publ Hlth, Dept Appl Hlth Sci, Bloomington, IN USA
[4] State Univ New Jersey, Rutgers Sch Publ Hlth, Dept Hlth Behav Soc & Policy, New Brunswick, NJ USA
[5] Univ Texas Arlington, Sch Social Work, Arlington, TX USA
[6] Univ Calif Los Angeles, Dept Community Hlth Sci, Los Angeles, CA USA
关键词
alcohol; social media; recovery; substance use disorder; Twitter; ALCOHOL-USE DISORDER; OPIOID USE DISORDER; SOCIAL NETWORKING; ENGAGEMENT; ONLINE; PARTICIPATION; PREVALENCE; DRUG;
D O I
10.1111/acer.15531
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
BackgroundSubstance use disorder (SUD) is a prodigious public health issue characterized by a substantial treatment gap. Despite challenges, millions have resolved a prior significant alcohol or drug problem, increasingly using online supports as a part of their recovery efforts (e.g., virtual mutual-help group meetings, traditional social networking sites [SNS]). However, the content surrounding SUD recovery-related discussion on SNS such as Twitter remains largely unexamined. To fill this gap, we explored public tweets using SUD recovery-related hashtags.MethodsFrom January 1, 2022, to December 31, 2022, 455,968 public tweets were collected using SUD recovery-related hashtags. Natural language processing was used to identify and remove irrelevant groupings of tweets from the dataset, resulting in a final corpus of 186,460 tweets. A random subsample of 1800 tweets was extracted for content analysis, involving codebook development, manual annotation by trained coders, and inter-rater reliability assessment (average Cohen's kappa = 0.77).ResultsNearly half (41.7%) of SUD recovery-related posts were from individuals in or seeking recovery, while 21.3% originated from addiction treatment industry accounts. Common themes included addiction treatment marketing (27.4%; some of which promoted scientifically unsupported products or services), emotional support (15.6%), celebrating a recovery milestone (15.4%), alcohol/drug-related sociopolitical commentary (14.7%), expressions of gratitude (11.5%), and mutual-help group participation (8.7%).ConclusionsSUD recovery-related content on Twitter reflected individuals seeking social support during efforts to initiate or maintain recovery. However, these accounts may be met with marketing material from entities that misrepresent their services or promote products based on unsubstantiated claims. Stricter (or enforcement of existing) regulations may be warranted to protect vulnerable SNS platform users from entities seeking to exploit them for financial gain.
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页数:12
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