AIMC Topic: Social Media

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Validating Emotion Analysis on Social Media Text for Detecting Psychological Distress: A Cross-Sectional Survey.

Issues in mental health nursing Apr 23, 2025
This study investigates the relationship between self-reported psychological distress and emotions in social media posts, using a deep learning-based emotion analysis model. A cross-sectional design was used, collecting data from Instagram and Thread...
Middle Aged Deep Learning Cross-Sectional Studies Male Emotions Social Media Psychological Distress Surveys and Questionnaires Stress, Psychological Humans Young Adult Adult Female
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Exploring mental health literacy on twitter: A machine learning approach.

Journal of affective disorders Apr 22, 2025
OBJECTIVES: This study investigates whether reducing mental illness stigma, enhancing help-seeking efficacy, and maintaining positive mental health mediate the relationship between the recognition of mental disorders and help-seeking attitudes.
Humans Mental Disorders Mental Health Machine Learning Health Literacy Social Media Help-Seeking Behavior Social Stigma
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Stigmatisation of gambling disorder in social media: a tailored deep learning approach for YouTube comments.

Harm reduction journal Apr 18, 2025
BACKGROUND: The stigmatisation of gamblers, particularly those with a gambling disorder, and self-stigmatisation are considered substantial barriers to seeking help and treatment. To develop effective strategies to reduce the stigma associated with g...
Behavior, Addictive Gambling Social Stigma Stereotyping Social Media Germany Humans Male Adult Female Deep Learning
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Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic.

JMIR infodemiology Apr 17, 2025
BACKGROUND: The COVID-19 pandemic intensified the challenges associated with mental health and substance use (SU), with societal and economic upheavals leading to heightened stress and increased reliance on drugs as a coping mechanism. Centers for Di...
United States Social Media SARS-CoV-2 Deep Learning Substance-Related Disorders Pandemics COVID-19 Humans
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TriLex: A fusion approach for unsupervised sentiment analysis of short texts.

PloS one Apr 17, 2025
In recent years, online customer reviews and social media platforms have significantly impacted individuals' daily lives. Despite the generally short nature of textual content on these platforms, they convey a wide range of user sentiments. However, ...
Unsupervised Machine Learning Algorithms Social Media Humans
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning.

Scientific reports Apr 15, 2025
As social media platforms evolve, hate speech increasingly manifests across multiple modalities, including text, images, audio, and video, challenging traditional detection systems focused on single modalities. Hence, this research proposes a novel M...
Neural Networks, Computer Deep Learning Speech Humans Social Media
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Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study.

JMIR medical informatics Apr 14, 2025
BACKGROUND: Social media is acknowledged by regulatory bodies (eg, the Food and Drug Administration) as an important source of patient experience data to learn about patients' unmet needs, priorities, and preferences. However, current methods rely ei...
Natural Language Processing Communication Humans Social Media Language
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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis.

Journal of medical Internet research Apr 11, 2025
BACKGROUND: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting depression using machine learning. However, there is...
Social Media Machine Learning Humans Depression
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Year 2023 in Biomedical Natural Language Processing: a Tribute to Large Language Models and Generative AI.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVES: This synopsis gives insights into scientific publications from 2023 in Natural Language Processing for the biomedical domain. We present the process we followed to identify candidates for NLP's best papers and the two best papers of this ...
Natural Language Processing Large Language Models Humans Deep Learning Social Media Artificial Intelligence Electronic Health Records
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Natural Language Processing for Digital Health in the Era of Large Language Models.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVES: Large language models (LLMs) are revolutionizing the natural language pro-cessing (NLP) landscape within healthcare, prompting the need to synthesize the latest ad-vancements and their diverse medical applications. We attempt to summarize...
Large Language Models Electronic Health Records Humans Social Media Digital Health Natural Language Processing
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