AIMC Topic: Social Media

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Mental disorder preventing by worry levels detection in social media using deep learning based on psycho-linguistic features: application on the COVID-19 lockdown period.

Computers in biology and medicine Jun 1, 2025
BACKGROUND: The COVID-19 pandemic has had a profound effect on the daily routines of individuals and has influenced various facets of society, including healthcare systems, economy, education, and more. With lockdown and social distancing measures, p...
Deep Learning Social Media Mental Disorders SARS-CoV-2 Anxiety Humans COVID-19
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On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook.

IEEE journal of biomedical and health informatics Jun 1, 2025
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews have been published on this topic, providing the community with comprehensive accounts of the researc...
Depression COVID-19 Social Media Humans SARS-CoV-2 Natural Language Processing Pandemics
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Performance of Artificial Intelligence Chatbots in Responding to Patient Queries Related to Traumatic Dental Injuries: A Comparative Study.

Dental traumatology : official publication of International Association for Dental Traumatology Jun 1, 2025
BACKGROUND/AIM: Artificial intelligence (AI) chatbots have become increasingly prevalent in recent years as potential sources of online healthcare information for patients when making medical/dental decisions. This study assessed the readability, qua...
Social Media Humans Artificial Intelligence Comprehension Generative Artificial Intelligence Tooth Injuries
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A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA.

Scientific reports May 28, 2025
Weibo, one of the most widely used social media platforms in China, sees a vast number of users expressing their opinions and emotional tendencies. Conducting sentiment analysis on Weibo posts using natural language processing techniques is crucial f...
Humans Neural Networks, Computer Emotions Social Media Natural Language Processing Algorithms China Semantics
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AI for Tobacco Control: Identifying Tobacco-Promoting Social Media Content Using Large Language Models.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco May 22, 2025
INTRODUCTION: Tobacco companies use social media to bypass marketing restrictions. Studies show that exposure to tobacco promotion on social media influences subsequent smoking behavior, yet it is challenging to monitor such content. We developed an ...
Tobacco Control Smoking Prevention Tobacco Industry Social Media Tobacco Products Humans Large Language Models Artificial Intelligence Marketing Turkey
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Utilizing Large Language Models to Monitor Social Media for Disability: An Analysis of Sentiment and Disability Models in Tweets.

Studies in health technology and informatics May 15, 2025
This study explores how well large language models (like the kind that powers ChatGPT) can analyze online conversations about disability rights. We specifically looked at whether these models could: 1) identify if tweets about people with disabilitie...
Large Language Models Persons with Disabilities Social Media Humans Natural Language Processing
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Leveraging Large Language Models for Synthetic Data Generation to Enhance Adverse Drug Event Detection in Tweets.

Studies in health technology and informatics May 15, 2025
Adverse drug event (ADE) detection in social media texts poses significant challenges due to the informal nature of the text and the limited availability of annotations. The scarcity of ADE named entity recognition (NER) datasets for social media hin...
Large Language Models Humans Natural Language Processing Social Media Drug-Related Side Effects and Adverse Reactions Data Mining Adverse Drug Reaction Reporting Systems
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Online gambling forums as a potential target for harm reduction: an exploratory natural language processing analysis of a reddit.com forum.

Harm reduction journal May 13, 2025
OBJECTIVES: Globally, there has been a rapid increase in the availability of online gambling. As online gambling has increased in popularity, there has been a corresponding increase in online communities that discuss gambling. The movement of gamblin...
Social Media Natural Language Processing Humans Internet Gambling Harm Reduction
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.

Journal of medical Internet research May 13, 2025
BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opioid-related deaths increasing more than 8-fold since 1999. Chronic pain, affecting 1 in 5 US adults, is a key contributor to opioid use and misuse. Wh...
United States Semantics Social Media Linguistics Pain Humans Analgesics, Opioid Opioid-Related Disorders Machine Learning
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Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan.

Journal of medical Internet research May 12, 2025
BACKGROUND: Stigma associated with HIV/AIDS continues to be a major barrier to prevention, management, and care. HIV stigma can negatively influence health behaviors. Surveys of the general public in Japan also demonstrated substantial gaps in knowle...
Japan Social Stigma Acquired Immunodeficiency Syndrome Female Middle Aged Humans Social Media Adolescent Adult Young Adult Retrospective Studies Male HIV Infections
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