AIMC Topic: Social Media

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Detection of Negative Emotions in Short Texts Using Deep Neural Networks.

Cyberpsychology, behavior and social networking May 7, 2025
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals' ...
Emotions Social Media Spain Humans Neural Networks, Computer Deep Learning
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CLAAF: Multimodal fake information detection based on contrastive learning and adaptive Agg-modality fusion.

PloS one May 7, 2025
The widespread disinformation on social media platforms has created significant challenges in verifying the authenticity of content, especially in multimodal contexts. However, simple modality fusion can introduce much noise due to the differences in...
Social Media Machine Learning Algorithms Humans
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Digital health tools in juvenile idiopathic arthritis: a systematic literature review.

Pediatric rheumatology online journal May 1, 2025
BACKGROUND: Nowadays, digital health technologies, including mobile apps, wearable technologies, social media, websites, electronic medical records, and artificial intelligence, are impacting disease management and outcomes. We aimed to analyse the c...
Mobile Applications Telemedicine Quality of Life Humans Social Media Arthritis, Juvenile Wearable Electronic Devices Digital Health Child
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Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.

JMIR infodemiology May 1, 2025
BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health b...
Humans Dietary Supplements Social Media Natural Language Processing Machine Learning Retrospective Studies United States France Saccharomyces cerevisiae
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Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

PloS one Apr 29, 2025
In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents to alleviate stress and enhance emotional well-being. From the perspective of virtual-physical interaction, this study integrates social media data w...
Humans Machine Learning Social Media Urban Population Male Female Walking China Emotions Young Adult Built Environment Cities Adult
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Harnessing deep learning to monitor people's perceptions towards climate change on social media.

Scientific reports Apr 28, 2025
Social media has become a popular stage for people's views over climate change. Monitoring how climate change is perceived on social media is relevant for informed decision-making. This work advances the way social media users' perceptions and reacti...
Humans Deep Learning Social Media Climate Change Perception
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Trade-offs between machine learning and deep learning for mental illness detection on social media.

Scientific reports Apr 25, 2025
Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation. Machine learning (ML) and deep learning (DL) models have been increas...
Social Media Mental Disorders Deep Learning Humans Logistic Models Machine Learning
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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...
Cross-Sectional Studies Male Middle Aged Young Adult Emotions Adult Humans Deep Learning Social Media Female Surveys and Questionnaires Psychological Distress Stress, Psychological
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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...
Gambling Social Stigma Stereotyping Humans Behavior, Addictive Female Social Media Adult Germany Male 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...
Social Media Substance-Related Disorders Deep Learning United States Humans Pandemics COVID-19 SARS-CoV-2
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