e.g. mhealth
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- 42 Journal of Medical Internet Research
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The proposed system uses supervised LLM to automatically classify opioid-related discussions into 4 predefined categories, such as personal experience, external experience, information, and not related, and integrates temporal data from Reddit to monitor the opioid crisis in specific time frames. For this purpose, we used 6 years of publicly available social media posts from Reddit, dated between January 1, 2018, and December 30, 2023.
JMIR Infodemiology 2025;5:e77279
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What Does Text Mining of Reddit Forums Reveal About Factors Surrounding Mental Health in Singapore?
Our study is not considered to meet federal definitions under the jurisdiction of an IRB and falls outside the purview of the Human Research Protect Office as the data was obtained from social media posts consistent with the Reddit terms of use applicable at the time. All the secondary data used were anonymous.
Reddit posts spanning January 2015 to December 2022 were retrieved from four Singapore-based subreddits – r/ask Singapore, r/singapore, r/singapore R, and r/singapore Raw.
J Med Internet Res 2025;27:e72959
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Recent studies on social media platforms such as Reddit have highlighted active user engagement in health-related discussions, such as medication abortion [4] and dermatology [5]. The r/Ask Docs subreddit has been a focal point for analyzing user demographics and health topic trends, marked by a dramatic increase in user posts over time [3].
J Med Internet Res 2025;27:e74094
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Reddit, in particular, has emerged as a valuable ecological data source for infodemiology studies due to its topic-specific communities (subreddits) that foster candid discussions. For instance, Reddit data were used to understand the emotional journey of patients and caregivers navigating brain cancer diagnoses [12].
J Med Internet Res 2025;27:e78247
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The study incorporates data sourced from various Reddit communities segmented by US states, allowing for a more localized analysis of public sentiments and concerns. This approach provides a granular understanding of regional differences, which is crucial for tailoring public health strategies.
J Med Internet Res 2025;27:e70746
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Among these, Reddit stands out for its unique features and popularity among informal caregivers. As an assemblage of community forums, Reddit enables users to engage in discussions on a specific topic within peer-to-peer communities (ie, subreddits) [15]. The anonymous nature of Reddit encourages users to discuss sensitive topics freely without fear of judgment, making it easier for caregivers to disclose their challenges [16,17].
JMIR Aging 2025;8:e71452
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To develop the opioid use and recovery stage classifier, we leveraged the Drug Abuse Reddit dataset from Ghosh et al [31], which provided a more balanced distribution of recovery stages. This dataset contains 3151 Reddit posts categorized into 5 recovery stages: “Addicted,” “E-Recovery” (Early), “M-Recovery” (Maintaining), “A-Recovery” (Advanced), and “Others.”
JMIR Form Res 2025;9:e71207
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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.
JMIR Infodemiology 2025;5:e72771
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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.
J Med Internet Res 2025;27:e75347
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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.
J Med Internet Res 2025;27:e53332
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