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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

01/03/2025 Lire →

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

01/03/2025 Lire →

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

01/03/2025 Lire →

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

01/03/2025 Lire →

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

01/03/2025 Lire →

Understanding Challenges and Emotions of Informal Caregivers of General Older Adults and People With Alzheimer Disease and Related Dementia: Comparative Study.

BACKGROUND: Faced with multiple challenges, informal caregivers often turn to online support communities for information and support. While scholarly attention has focused on experiences expressed by …

Études fondées sur les communautés Reddit

Huang, N. M., Wong, L. Z., Ho, S. S., & Timothy, B. (2025). Understanding Challenges and Emotions of Informal Caregivers of General Older Adults and People With Alzheimer Disease and Related Dementia: Comparative Study.. J Med Internet Res, 27, e54847. https://doi.org/10.2196/54847

28/02/2025 Lire →

AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.

: The increasing use of social media for sharing health and diet experiences presents new opportunities for nutritional research and dietary assessment. Large language models (LLMs) and artificial int…

Études fondées sur les communautés Reddit

Kaloudis, E., Kouti, V., Triantafillou, F. M., Ventouris, P., Pavlidis, R., & Bountziouka, V. (2025). AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.. Nutrients, 17(5). https://doi.org/10.3390/nu17050818

27/02/2025 Lire →

Myth Versus Reality: A Review of Social Media Claims and Scientific Evidence for Arnica montana in Postinjectable Procedures.

BACKGROUND: Reduced bruising and swelling after aesthetic procedures accelerates recovery. Arnica montana is widely used by physicians and promoted on social media, although its efficacy in aesthetic …

Études fondées sur les communautés Reddit

Ryzhaya, N., & Rivers, J. K. (2025). Myth Versus Reality: A Review of Social Media Claims and Scientific Evidence for Arnica montana in Postinjectable Procedures.. Dermatol Surg, 51(7), 668-672. https://doi.org/10.1097/DSS.0000000000004599

27/02/2025 Lire →

Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study.

BACKGROUND: Antidepressants are crucial for managing major depressive disorders; however, nonadherence remains a widespread challenge, driven by concerns over side effects, fear of dependency, and dou…

Études fondées sur les communautés Reddit

Zhu, J., Zhang, X., Jin, R., Jiang, H., & Kenne, D. R. (2025). Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study.. JMIR Form Res, 9, e62680. https://doi.org/10.2196/62680

26/02/2025 Lire →

Changes in patient sentiment on Reddit through periods of atopic dermatitis treatment.

Études fondées sur les communautés Reddit

Yang, A. K., Powers, C. M., Verma, H., Sharma, D., Piontkowski, A. J., Orloff, J., Ungar, B., & Gulati, N. (2025). Changes in patient sentiment on Reddit through periods of atopic dermatitis treatment.. Clin Exp Dermatol, 50(3), 672-674. https://doi.org/10.1093/ced/llae455

24/02/2025 Lire →

Autistic Burnout on Reddit: A Sisyphean Struggle with Daily Tasks.

The crippling impacts of autistic burnout are well known to the autistic community, yet research is only in its early stages. While research to date has chiefly relied on structured interviews and Del…

Études fondées sur les communautés Reddit

Clarey, M. M., Abel, S., Ireland, M. J., & Brownlow, C. (2025). Autistic Burnout on Reddit: A Sisyphean Struggle with Daily Tasks.. J Autism Dev Disord. https://doi.org/10.1007/s10803-025-06765-4

22/02/2025 Lire →

Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis.

BACKGROUND: Type 2 diabetes (T2D) is a chronic disease that can be partially managed through healthy behaviors. However, the COVID-19 pandemic impacted how people managed T2D due to work and school cl…

Études fondées sur les communautés Reddit

Nagpal, M., Jalali, N., Sherifali, D., Morita, P., & Cafazzo, J. A. (2025). Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis.. JMIR Form Res, 9, e51154. https://doi.org/10.2196/51154

21/02/2025 Lire →