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Undergraduate Research Opportunities Program

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search.filters.applied.f.advisor: De Choudhury, Munmun × End date: 2019 × Start date: 2010 × search.filters.applied.f.isOrgUnitOfPublicationTitle: College of Computing ×

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The Language of Minority Stress Experiences of Sexual Minority Communities on Reddit

2019-05 , Kim, Sang-Chan

Prior literature indicates members of sexual minorities face higher risk of mental health challenges than their counterparts. These individuals are often more predisposed to disorders such as drug addiction, anxiety, depression, and suicidal ideation. Online communities and social media provide a space for individuals to seek support, find peers, and disclose their thoughts and emotions. Using posts from the r/lgbt community on Reddit, we employ social media analysis and machine learning to examine and quantify the language of minority stress. Drawing from existing minority stress theory, we develop a codebook to identify minority stress in social media posts. Using a dataset annotated with the codebook, we train a machine learning classifier to predict posts with minority stress. Lastly, we analyze the linguistic cues of these newly machine-labelled posts, build a lexicon of minority stress markers, and relate our findings back to minority stress theory.

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Analysis of Deviant Opioid Addiction Treatment Communities on Reddit

2018-05 , Zampieri, Francisco Alejandro

As the opioid epidemic in the US continues, many addicts turn to clinically unverified, non-mainstream, deviant recovery methods to ameliorate the symptoms of withdrawal. In this study, we analyze discussion on the social media site Reddit surrounding these treatments. We apply transfer learning methods to train a classifier highly sensitive to recovery-related posts. Based on network analysis of Reddit communities (known as “subreddits”), we generate a list of subreddits where discussion of deviant addiction treatment methods is taking place. Using word embeddings and the testimony of a practicing opioid addiction clinician, we identify potential alternative opioid addiction treatment methods. Applying the classifier to subreddit post data, we generate a dataset consisting of recovery-related discourse. When applied to these posts, topic modeling methods, such as Latent Dirichlet Allocation (LDA), reveal topics discussed within the context of recovery, such as the lifestyle changes associated with kratom use.

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