Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts

被引:0
作者
Yang, Genevieve [1 ,2 ]
King, Sarah G. [2 ]
Lin, Hung-Mo [3 ,4 ]
Goldstein, Rita Z. [1 ,2 ,5 ]
机构
[1] Icahn Sch Med Mt Sinai, Dept Psychiat, New York, NY USA
[2] Icahn Sch Med Mt Sinai, Dept Neurosci, New York, NY USA
[3] Yale Univ, Yale Sch Med, Dept Anesthesiol, New Haven, CT USA
[4] Yale Univ, Yale Ctr Analyt Sci, Yale Sch Publ Hlth, New Haven, CT USA
[5] Icahn Sch Med Mt Sinai, Dept Psychiat, 1 Gustave L Levy Pl, New York, NY 10029 USA
基金
美国国家卫生研究院;
关键词
sentiment analysis; text mining; addiction phenotype; subjective experience phenotype; naturalistic big data; natural language processing; phenomenology; experience sampling; FACIAL EXPRESSIONS; ALCOHOL; DISGUST; ADDICTION; ANXIETY; DISORDERS; COMORBIDITY; INCUBATION; TOBACCO; ADULTS;
D O I
10.2023/1/e45267
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background:Substance use disorder is characterized by distinct cognitive processes involved in emotion regulation as well as unique emotional experiences related to the relapsing cycle of drug use and recovery. Web-based communities and the posts they generate represent an unprecedented resource for studying subjective emotional experiences, capturing population types and sizes not typically available in the laboratory. Here, we mined text data from Reddit, a social media website that hosts discussions from pseudonymous users on specific topic forums, including forums for individuals who are trying to abstain from using drugs, to explore the putative specificity of the emotional experience of substance cessation. Objective: An important motivation for this study was to investigate transdiagnostic clues that could ultimately be used for mental health outreach. Specifically, we aimed to characterize the emotions associated with cessation of 3 major substances and compare them to emotional experiences reported in nonsubstance cessation posts, including on forums related to psychiatric conditions of high comorbidity with addiction. Methods: Raw text from 2 million posts made, respectively, in the fall of 2020 (discovery data set) and fall of 2019 (replication data set) were obtained from 394 forums hosted by Reddit through the application programming interface. We quantified emotion word frequencies in 3 substance cessation forums for alcohol, nicotine, and cannabis topic categories and performed comparisons with general forums. Emotion word frequencies were classified into distinct categories and represented as a multidimensional emotion vector for each forum. We further quantified the degree of emotional resemblance between different forums by computing cosine similarity on these vectorized representations. For substance cessation posts with self-reported time since last use, we explored changes in the use of emotion words as a function of abstinence duration. Results: Compared to posts from general forums, substance cessation posts showed more expressions of anxiety, disgust, pride, and gratitude words. "Anxiety" emotion words were attenuated for abstinence durations >100 days compared to shorter durations (t(12)=3.08, 2-tailed; P=.001). The cosine similarity analysis identified an emotion profile preferentially expressed in the cessation posts across substances, with lesser but still prominent similarities to posts about social anxiety and attention-deficit/hyperactivity disorder. These results were replicated in the 2019 (pre-COVID-19) data and were distinct from control analyses using nonemotion words. Conclusions: We identified a unique subjective experience phenotype of emotions associated with the cessation of 3 major substances, replicable across 2 time periods, with changes as a function of abstinence duration. Although to a lesser extent, this phenotype also quantifiably resembled the emotion phenomenology of other relevant subjective experiences (social anxiety and attention-deficit/hyperactivity disorder). Taken together, these transdiagnostic results suggest a novel approach for the future identification of at-risk populations, allowing for the development and deployment of specific and timely interventions.
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页数:13
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