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.

500 articles disponibles

Reddit
subreddit*
"digital ethnography"

Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction.

BACKGROUND: Recent advancements in large language models (LLMs) have generated significant interest in their potential for assessing psychological constructs, particularly personality traits. While pr…

Études fondées sur les communautés Reddit
Maharjan, J., Jin, R., Zhu, J., & Kenne, D. (2025). Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction.. J Med Internet Res, 27, e75347. https://doi.org/10.2196/75347

Mis- and disinformation and perceptions of healthcare policy among Latinos in the USA: protocol for a multi-method social media sentiment analysis study.

INTRODUCTION: It is unclear how mis- and disinformation regarding healthcare policy changes propagate throughout Latino communities via social media. This may lead to chilling effects that dissuade el…

Études fondées sur les communautés Reddit
Wilson, F. A., Stimpson, J. P., Young, M. T., Bustamante, A. V., Ponce, N. A., & Ortega, A. N. (2025). Mis- and disinformation and perceptions of healthcare policy among Latinos in the USA: protocol for a multi-method social media sentiment analysis study.. BMJ Open, 15(7), e096465. https://doi.org/10.1136/bmjopen-2024-096465

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.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic autoimmune disorder with an increasing prevalence in the general population. Internet-based communities have become vital for communication am…

Études fondées sur les communautés Reddit
Babinski, T., Karley, S., Cooper, M., Shaik, S., & Wang, Y. K. (2025). 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.. J Med Internet Res, 27, e53332. https://doi.org/10.2196/53332

How Women Discuss Heavy Menstrual Bleeding in Online Forums ("It's Like Revenge of the Uterus"): Template Approach to Thematic Analysis.

BACKGROUND: Heavy menstrual bleeding (HMB) is a common condition that affects approximately 20% to 30% of women globally. However, despite significant physical, mental, and social impacts on the quali…

Études fondées sur les communautés Reddit
Young, E. J., & Kirk, H. M. (2025). How Women Discuss Heavy Menstrual Bleeding in Online Forums ("It's Like Revenge of the Uterus"): Template Approach to Thematic Analysis.. J Med Internet Res, 27, e73532. https://doi.org/10.2196/73532

A Plan-Do-Study-Act Framework for Adaptive Vaccine Messaging Using Artificial Intelligence.

The Plan-Do-Study-Act (PDSA) cycle is a trusted framework for refining public health initiatives. Given rising vaccination hesitancy, we propose an artificial intelligence (AI)-enabled PDSA framework …

Études fondées sur les communautés Reddit
Stein, O. A., & Seeman, N. (2025). A Plan-Do-Study-Act Framework for Adaptive Vaccine Messaging Using Artificial Intelligence.. Healthc Q, 28(2), 73-80. https://doi.org/10.12927/hcq.2025.27675

Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study.

The advent of social media has led to an increased concern over its potential to propagate hate speech and misinformation, which, in addition to contributing to prejudice and discrimination, has been …

Études fondées sur les communautés Reddit
Alexander, A. W., & Wang, H. (2025). Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study.. PLOS Digit Health, 4(7), e0000935. https://doi.org/10.1371/journal.pdig.0000935

Moral judgments in online discourse are not biased by gender.

The interaction between social norms and gender roles prescribes gender-specific behaviors that influence moral judgments. While previous work has demonstrated the existence of gender-bias in judgment…

Études fondées sur les communautés Reddit
Betti, L., Bajardi, P., & De, F. r. a. n. c. i. s. c. i. . M. o. r. a. l. e. s. . G. (2025). Moral judgments in online discourse are not biased by gender.. Sci Rep, 15(1), 21555. https://doi.org/10.1038/s41598-025-08749-x

Beyond the jab: Modeling HIV vaccine acceptance in sexual and gender minorities with behavioral economic demand.

This study was an investigation of the utility of behavioral economic demand curves (quantitative models showing how consumption changes with price) in assessing acceptance of hypothetical HIV vaccine…

Études fondées sur les communautés Reddit
Tewogbola, P., Jacobs, E. A., Lee, Y. T., Redner, R. N., McDaniel, J. T., & Asirvatham, J. (2025). Beyond the jab: Modeling HIV vaccine acceptance in sexual and gender minorities with behavioral economic demand.. J Exp Anal Behav, 124(1), e70038. https://doi.org/10.1002/jeab.70038

Perceptions of the effects of following specific diets among people with multiple sclerosis: A web scraping analysis of the multiple sclerosis subreddit.

BACKGROUND: Dietary modifications are commonly reported by people with multiple sclerosis (MS). While preliminary studies suggest benefits of several diets on MS symptoms and quality of life, little r…

Études fondées sur les communautés Reddit
Kuhlman, N., Lamm, K., Wilson, G., Klein, B., Shuger, F. o. x. . S., & Titcomb, T. J. (2025). Perceptions of the effects of following specific diets among people with multiple sclerosis: A web scraping analysis of the multiple sclerosis subreddit.. Mult Scler Relat Disord, 99, 106504. https://doi.org/10.1016/j.msard.2025.106504

Mind the Gap: Social media analysis of 38,609 posts highlights discrepancies between clinical focus and patient priorities in neurosurgical care.

OBJECTIVE: To analyze social media discussions among cranial neurosurgical patients to identify prevalent concerns, emotional patterns, and quality of life impacts that may not be fully captured in tr…

Études fondées sur les communautés Reddit
Schneider, D., Brown, E. D. L., Ward, M., White, T. G., Eichberg, D. G., Sciubba, D. M., Lo, S. L., & Park, J. (2025). Mind the Gap: Social media analysis of 38,609 posts highlights discrepancies between clinical focus and patient priorities in neurosurgical care.. J Clin Neurosci, 137, 111334. https://doi.org/10.1016/j.jocn.2025.111334

Beyond the Clinic: A Social Media Network Analysis of 5466 Posts Reveals the Interconnected Challenges Facing Sarcoma Patients.

OBJECTIVES: Social media platforms have increasingly been investigated as a source of patient perspectives that may not emerge in clinical settings. This study aimed to explore how disease status, tre…

Études fondées sur les communautés Reddit
Schneider, D., Brown, E. D. L., Gluski, J., Mishra, A., Sciubba, D. M., & Lo, S. L. (2025). Beyond the Clinic: A Social Media Network Analysis of 5466 Posts Reveals the Interconnected Challenges Facing Sarcoma Patients.. Am J Clin Oncol, 48(7), 351-356. https://doi.org/10.1097/COC.0000000000001191

Exploring online discussions in men with testicular cancer: a qualitative and sentiment analysis of Reddit posts.

PURPOSE: The goal of this study is to better understand the content and tone of discussions that men with testicular cancer are having on the testicular cancer subreddit and to explore any unmet survi…

Études fondées sur les communautés Reddit
Wysocki, M., Winokur, N., Zhu, M., Loloi, J., & Matulewicz, R. S. (2025). Exploring online discussions in men with testicular cancer: a qualitative and sentiment analysis of Reddit posts.. Support Care Cancer, 33(7), 632. https://doi.org/10.1007/s00520-025-09695-0