Études fondées sur les communautés Reddit

Cette catégorie regroupe les recherches utilisant Reddit et ses sous-communautés (subreddits) comme source de données pour l'étude des comportements, expériences, perceptions, interactions sociales, trajectoires identitaires, processus de soutien entre pairs ou enjeux de santé mentale. Elle inclut les analyses de contenu, études qualitatives, ethnographies numériques et approches computationnelles menées à partir de publications et commentaires Reddit.

507 articles disponibles

Reddit
subreddit*
"digital ethnography"

From Veterinary Medicine to Illicit Drug Supply: Utilising Social Media to Explore the Rising Emergence of Veterinary Medicines in Human Health.

BACKGROUND/OBJECTIVES: The misuse of veterinary drugs is a growing concern, with increasing evidence of their presence in illicit drug markets and their use as alternatives to traditional substances.M…

Études fondées sur les communautés Reddit
Dunn, J., Schifano, F., Dudley, E., Arillotta, D., & Guirguis, A. (2025). From Veterinary Medicine to Illicit Drug Supply: Utilising Social Media to Explore the Rising Emergence of Veterinary Medicines in Human Health.. Brain Sci, 15(2). https://doi.org/10.3390/brainsci15020172

Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis.

BACKGROUND: Living kidney donation (LKD), where individuals donate one kidney while alive, plays a critical role in increasing the number of kidneys available for those experiencing kidney failure. Pr…

Études fondées sur les communautés Reddit
Nielsen, J., Chen, X., Davis, L., Waterman, A., & Gentili, M. (2025). Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis.. JMIR AI, 4, e57319. https://doi.org/10.2196/57319

A Medical Student Online Community: A Qualitative Analysis of Step 1 Subreddit Posts.

INTRODUCTION: Reddit is a public discussion website parsed into "subreddits" centered around specific topics. Medical students often utilize the Step 1 subreddit to seek peer counsel regarding exam pr…

Études fondées sur les communautés Reddit
Kann, M. R., Chen, D., Huang, G. W., Pugazenthi, S., & Zehnder, N. G. (2025). A Medical Student Online Community: A Qualitative Analysis of Step 1 Subreddit Posts.. Med Sci Educ, 35(1), 425-436. https://doi.org/10.1007/s40670-024-02214-6

Dual-Targeted adversarial example in evasion attack on graph neural networks.

This study proposes a novel approach for generating dual-targeted adversarial examples in Graph Neural Networks (GNNs), significantly advancing the field of graph-based adversarial attacks. Unlike tra…

Études fondées sur les communautés Reddit
Kwon, H., & Kim, D. J. (2025). Dual-Targeted adversarial example in evasion attack on graph neural networks.. Sci Rep, 15(1), 3912. https://doi.org/10.1038/s41598-025-85493-2

Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis.

BACKGROUND: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide i…

Études fondées sur les communautés Reddit
Chan, G. J., Fung, M., Warrington, J., & Nowak, S. A. (2025). Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis.. JMIR Form Res, 9, e55309. https://doi.org/10.2196/55309

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.

BACKGROUND: Early-stage breast cancer has the complex challenge of carrying a favorable prognosis with multiple treatment options, including breast-conserving surgery (BCS) or mastectomy. Social media…

Études fondées sur les communautés Reddit
Spiegel, D. Y., Friesner, I. D., Zhang, W., Zack, T., Yan, G., Willcox, J., Prionas, N., Singer, L., Park, C., & Hong, J. C. (2025). Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.. JMIR Cancer, 11, e52886. https://doi.org/10.2196/52886

Self-reported experiences and perspectives on using psychedelics to manage opioid use among participants of two Reddit communities.

BACKGROUND AND AIMS: The opioid crisis continues to exert a tremendous toll in North America, with existing interventions often falling short of addressing ongoing needs. Psychedelics are emerging as …

Études fondées sur les communautés Reddit
Krawczyk, N., Miller, M., Gu, E. Y., Irvine, N., Ramirez, E., Santaella-Tenorio, J., Lippincott, T., Bogenschutz, M., Bunting, A. M., & Meacham, M. C. (2025). Self-reported experiences and perspectives on using psychedelics to manage opioid use among participants of two Reddit communities.. Addiction. https://doi.org/10.1111/add.16767

Analysis of Reddit Discussions on Motivational Factors for Physical Activity: Cross-Sectional Study.

BACKGROUND: Despite the ample benefits of physical activity (PA), many individuals do not meet the minimum PA recommended by health organizations. Structured questionnaires and interviews are commonly…

Études fondées sur les communautés Reddit
Shmueli-Scheuer, M., Silverman, Y., Halperin, I., & Gepner, Y. (2025). Analysis of Reddit Discussions on Motivational Factors for Physical Activity: Cross-Sectional Study.. J Med Internet Res, 27, e54489. https://doi.org/10.2196/54489

Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.

BACKGROUND: People share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in dig…

Études fondées sur les communautés Reddit
Cummins, J. A., Gottlieb, D. J., Sofer, T., & Wallace, D. A. (2025). Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.. J Med Internet Res, 27, e58902. https://doi.org/10.2196/58902

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.

BACKGROUND: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on…

Études fondées sur les communautés Reddit
Das, S., Ge, Y., Guo, Y., Rajwal, S., Hairston, J., Powell, J., Walker, D., Peddireddy, S., Lakamana, S., Bozkurt, S., Reyna, M., Sameni, R., Xiao, Y., Kim, S., Chandler, R., Hernandez, N., Mowery, D., Wightman, R., Love, J., … Sarker, A. (2025). Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.. J Med Internet Res, 27, e66220. https://doi.org/10.2196/66220

Dual contrastive learning-based reconstruction for anomaly detection in attributed networks.

Anomaly detection in attributed networks is critical for identifying threats such as financial fraud and intrusions across social, e-commerce, and cyber-physical domains. Existing graph-based methods …

Études fondées sur les communautés Reddit
Rafieizadeh, H., Zare, H., Ghassemi, P. a. r. s. a. . M., & Cherifi, H. (2025). Dual contrastive learning-based reconstruction for anomaly detection in attributed networks.. PLoS One, 20(11), e0335135. https://doi.org/10.1371/journal.pone.0335135

Delay, deny, and defend: Public outrage at health insurance companies and stock market debacle.

This study investigates the stock market's response to the assassination of UnitedHealthcare's CEO, focusing on the cumulative abnormal returns (CARs) of publicly listed U.S. insurance firms. Using to…

Études fondées sur les communautés Reddit
Li, C., Dutta, M., Duo, J., & Dutta, S. (2025). Delay, deny, and defend: Public outrage at health insurance companies and stock market debacle.. PLoS One, 20(10), e0334399. https://doi.org/10.1371/journal.pone.0334399