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Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts

Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts

Reddit data have historically been accessible through free, publicly available application programming interfaces (APIs). Researchers have often used Pushshift’s Reddit API and Reddit’s official API to obtain compiled information about content shared on Reddit, including creation date, submission (post or comment) text, community interactions (likes, upvotes, and downvotes), and more.

Elizabeth Pleasants, Ndola Prata, Ushma D Upadhyay, Cassondra Marshall, Coye Cheshire

JMIR Infodemiology 2025;5:e72771

Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction

Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction

Our study addresses these critical gaps through a systematic evaluation of LLM embeddings on a Reddit dataset [4]. Specifically, we aim to investigate the predictive efficacy of LLM embeddings on a psychology domain and analyze their characterization of key psychology dimensions across each trait. In addition to this, we also investigate the benchmark performance-cost trade-offs across model architecture.

Julina Maharjan, Ruoming Jin, Jianfeng Zhu, Deric Kenne

J Med Internet Res 2025;27:e75347

Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study

Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study

Another study by Rohde et al [8] characterized topics associated with IBD and distress on Reddit and Twitter, finding that symptoms (n=23,294, 47.8%) and medication (n=12,218, 30.1%) were the most prevalent topics. Additionally, a 2023 study by Stemmer et al [9] analyzed the content and sentiments expressed in posts by patients with IBD, revealing that they expressed more sadness and fear compared with a control group of healthy users.

Tyler Babinski, Sara Karley, Marita Cooper, Salma Shaik, Y Ken Wang

J Med Internet Res 2025;27:e53332

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Social media platforms such as X (formerly known as Twitter), Facebook, Instagram, Reddit, and You Tube play a key role in this expansion, with over 58% of the world’s population actively sharing their opinions, experiences, and concerns on these platforms [13]. These platforms provide researchers with valuable insights into health determinants by allowing the analysis of lifestyle choices, habits, and personal experiences.

Muhammad Ahmad, Ildar Batyrshin, Grigori Sidorov

JMIR Infodemiology 2025;5:e70525

Information Needs for Opioid Use Disorder Treatment Using Buprenorphine Product: Qualitative Analysis of Suboxone-Focused Reddit Data

Information Needs for Opioid Use Disorder Treatment Using Buprenorphine Product: Qualitative Analysis of Suboxone-Focused Reddit Data

Using PRAW and Push Shift application programming interfaces [33,34], tools that help researchers access public Reddit data, we collected posts, comments, likes, upvotes, and unique post identifiers from r/Suboxone (41 K members). There are other subreddits specific to a MOUD option, for example, r/Sublocade, r/Subutex, and r/Methadone.

Madhusudan Basak, Omar Sharif, Sarah E Lord, Jacob T Borodovsky, Lisa A Marsch, Sandra A Springer, Edward V Nunes, Charles D Brackett, Luke J Archibald, Sarah M Preum

J Med Internet Res 2025;27:e68886

Investigating Experiences With Scarring Among Transgender and Gender Diverse People: Mixed Methods Study

Investigating Experiences With Scarring Among Transgender and Gender Diverse People: Mixed Methods Study

Reddit is a popular online platform where users can enter long-form posts, comment on posts, and respond to comments. Due to the anonymous nature of the platform, it attracts a large number of TGD people to discuss personal health matters. Reddit forums have been studied to glean a better understanding of mental health [17,18] and sexual health [19], as well as LGBT (lesbian, gay, bisexual, and transgender) health [20].

Nora Yanyi Sun, Kanika Kamal, Alex Sogomon Keuroghlian

JMIR Dermatol 2025;8:e62714

The Quality of Dermatology Match Information on Social Media Platforms: Cross-Sectional Analysis

The Quality of Dermatology Match Information on Social Media Platforms: Cross-Sectional Analysis

Our study evaluates the accuracy of dermatology match information on popular social media sites where medical students, residents, and attendings discuss medicine and residency application processes—Reddit, Student Doctor Network (SDN), and Tik Tok. In March 2024, we used the search terms “how to match into dermatology” and “advice for the dermatology match process,” identifying 34 sources and corresponding response comments from Tik Tok (n=10), Reddit (n=14), and SDN (n=10).

Anjali D'Amiano, Jack Kollings, Joel Sunshine

JMIR Dermatol 2025;8:e65217

Analyzing the Contents of a Large, Public Online Peer Support Forum for Obsessive-Compulsive Disorder: Thematic Analysis

Analyzing the Contents of a Large, Public Online Peer Support Forum for Obsessive-Compulsive Disorder: Thematic Analysis

The primary purpose of this study is to explore what types of content are posted in r/OCD, a large, public online support forum for OCD hosted on Reddit, to build our understanding of the dynamics and norms of such online support communities. Reddit is a free online social media platform accessible in most nations in the world that enables registered users (Redditors) to add posts and comments that may include text, images, videos, links, and GIFs in a variety of themed communities known as “subreddits.”

Nora Yanyi Sun, Christopher Pittenger, Terence Ching

JMIR Form Res 2025;9:e60899

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data

For instance, Park et al [33] applied textual cluster analysis to Reddit subreddits focused on anxiety, depression, and posttraumatic stress disorder (PTSD), finding that the anxiety and PTSD subreddits were more similar to each other than to the depression subreddit. Kalantari et al [34] examined neurodiversity discourse on Reddit by comparing the ADHD subreddit and the autism subreddit between 2018-2020 using a topic modeling approach.

Jemima Kang, Nick Haslam, Mike Conway

J Med Internet Res 2025;27:e70914

Popular Treatments of Psoriasis on Social Media: Google Trends Analysis

Popular Treatments of Psoriasis on Social Media: Google Trends Analysis

Notably, two widely used resources in the psoriasis community are the “Psoriasis” group on Facebook and “r/Psoriasis” on Reddit, which collectively have over 110,000 users worldwide. We aimed to analyze the most frequently mentioned treatments on these forums while also exploring how interest has evolved over time. By comparing patient discussions with search trends, this research provides valuable insights into treatment preferences and shifts in public awareness.

Derek Nguyen, Jennifer Javaheri, Ruth Sanchez, Vy Han

JMIR Dermatol 2025;8:e70067