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"

Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection.

Social media has become an essential platform for understanding human behavior, particularly in relation to mental health conditions such as depression and suicidal tendencies. Given the increasing re…

Études fondées sur les communautés Reddit
Baydili, Ä. °., Tasci, B., & Tasci, G. (2025). Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection.. Behav Sci (Basel), 15(3). https://doi.org/10.3390/bs15030352

Living With and Managing Uncomplicated Urinary Tract Infection: Mixed Methods Analysis of Patient Insights From Social Media.

BACKGROUND: Uncomplicated urinary tract infections (uUTIs) affect more than half of women in their lifetime and can impact on quality of life. We analyzed social media posts discussing uUTIs to gather…

Études fondées sur les communautés Reddit
Kramer, M. L., Polo, J. M., Kumar, N., Mulgirigama, A., & Benkiran, A. (2025). Living With and Managing Uncomplicated Urinary Tract Infection: Mixed Methods Analysis of Patient Insights From Social Media.. J Med Internet Res, 27, e58882. https://doi.org/10.2196/58882

Eating Disorders Among Transgender and Gender Diverse People: A Qualitative Analysis of Reddit Threads.

Études fondées sur les communautés Reddit
Sun, N. Y., Guerra, S. E., & Keuroghlian, A. S. (2025). Eating Disorders Among Transgender and Gender Diverse People: A Qualitative Analysis of Reddit Threads.. J Clin Psychiatry, 86(2). https://doi.org/10.4088/JCP.24com15640

Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.

BACKGROUND: Bipolar is a severe mental health condition affecting at least 2% of the global population, with clinical observations suggesting that individuals experiencing elevated mood states, such a…

Études fondées sur les communautés Reddit
Harvey, D., Rayson, P., Lobban, F., Palmier-Claus, J., Dolman, C., Chataigné, A., & Jones, S. (2025). Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.. JMIR Infodemiology, 5, e65632. https://doi.org/10.2196/65632

Understanding Patient Experiences of Vulvodynia Through Reddit: Qualitative Analysis.

BACKGROUND: Vulvodynia is a chronic vulvar pain condition affecting up to 25% of the US population. However, diagnosis and effective treatment remain elusive. Many individuals with vulvodynia face sti…

Études fondées sur les communautés Reddit
Grutman, A. J., Perelmuter, S., Perez, A., Meurer, J., Contractor, M., Mathews, E., Shearer, K., Burnett, L. A., & Uloko, M. (2025). Understanding Patient Experiences of Vulvodynia Through Reddit: Qualitative Analysis.. JMIR Infodemiology, 5, e63072. https://doi.org/10.2196/63072

Highly engaging events reveal semantic and temporal compression in online community discourse.

People nowadays express their opinions in online spaces, using different forms of interactions such as posting, sharing, and discussing with one another. How do these digital traces change in response…

Études fondées sur les communautés Reddit
Desiderio, A., Mancini, A., Cimini, G., & Di, C. l. e. m. e. n. t. e. . R. (2025). Highly engaging events reveal semantic and temporal compression in online community discourse.. PNAS Nexus, 4(3), pgaf056. https://doi.org/10.1093/pnasnexus/pgaf056

Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.

OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuri…

Études fondées sur les communautés Reddit
Li, Y., Viswaroopan, D., He, W., Li, J., Zuo, X., Xu, H., & Tao, C. (2025). Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.. J Biomed Inform, 163, 104789. https://doi.org/10.1016/j.jbi.2025.104789

Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.

BACKGROUND: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global health. Disease forecasting solutions are extremely beneficial to public health emergency management. Thi…

Études fondées sur les communautés Reddit
Nia, Z. M., Seyyed-Kalantari, L., Goitom, M., Mellado, B., Ahmadi, A., Asgary, A., Orbinski, J., Wu, J., & Kong, J. D. (2025). Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.. Artif Intell Med, 161, 103076. https://doi.org/10.1016/j.artmed.2025.103076

Reddit users' perspectives on radiofrequency ablation: A data analysis.

OBJECTIVES: Patients suffering from chronic pain use online platforms, such as Reddit, to engage in personal exchanges while maintaining anonymity. Analysis of comments and questions posted on these o…

Études fondées sur les communautés Reddit
Furtado, P. e. s. s. o. a. . d. e. . M. e. n. d. o. n. c. a. . L., Encalada, S., Mosquera-Moscoso, J., Cascio, M. A., Hallo-Carrasco, A., Eldrige, J., & Hunt, C. L. (2025). Reddit users' perspectives on radiofrequency ablation: A data analysis.. Interv Pain Med, 4(1), 100535. https://doi.org/10.1016/j.inpm.2024.100535

Bridging the conversational gap in epilepsy: Using large language models to reveal insights into patient behavior and concerns from online discussions.

OBJECTIVE: This study was undertaken to explore the experiences and concerns of people living with epilepsy by analyzing discussions in an online epilepsy community, using large language models (LLMs)…

Études fondées sur les communautés Reddit
Fennig, U., Yom-Tov, E., Savitzky, L., Nissan, J., Altman, K., Loebenstein, R., Boxer, M., Weinberg, N., Gofrit, S. G., & Maggio, N. (2025). Bridging the conversational gap in epilepsy: Using large language models to reveal insights into patient behavior and concerns from online discussions.. Epilepsia, 66(3), 686-699. https://doi.org/10.1111/epi.18226

Can't Buy Me Love? The Use of Gifts in the Residency Application Process.

IntroductionTo set themselves apart, some programs use gifts or promotional items to highlight the residency program or unique local culture. The distinction between advertisement and persuasion may b…

Études fondées sur les communautés Reddit
Anderson, B., Ducich, N., Campbell, B., Cahn, M., & Kavic, S. M. (2025). Can't Buy Me Love? The Use of Gifts in the Residency Application Process.. Am Surg, 91(3), 361-364. https://doi.org/10.1177/00031348241300357

Permanent contraception in the childfree population: An exploratory study.

OBJECTIVES: This study aimed to describe the childfree population seeking permanent contraception, identify barriers to receiving care, and characterize the incidence of regret.STUDY DESIGN: We conduc…

Études fondées sur les communautés Reddit
Parker, A. B., Morse, J. E., & Bryant, A. G. (2025). Permanent contraception in the childfree population: An exploratory study.. Contraception, 143, 110746. https://doi.org/10.1016/j.contraception.2024.110746