AIMC Topic: Social Media

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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, ...
Social Media Unsupervised Machine Learning Humans Algorithms
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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...
Speech Social Media Neural Networks, Computer Deep Learning Humans
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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...
Communication Natural Language Processing 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...
Depression Social Media Humans Machine Learning
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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 Humans Large Language Models Artificial Intelligence Deep Learning Electronic Health Records Social Media
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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...
Natural Language Processing Large Language Models Electronic Health Records Social Media Humans Digital Health
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Precision in Prevention and Health Surveillance: How Artificial Intelligence May Improve the Time of Identification of Health Concerns through Social Media Content Analysis.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analysis of social media content, can enhance "precision in prevention and health surveillance" (2024 Yearbook topic). The focus is on leveraging advanced ...
Machine Learning Public Health Public Health Surveillance Social Media Humans Natural Language Processing Artificial Intelligence Consumer Health Informatics
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A validity and reliability study of the artificial intelligence attitude scale (AIAS-4) and its relationship with social media addiction and eating behaviors in Turkish adults.

BMC public health Apr 2, 2025
BACKGROUND: In recent years, there has been a rapid increase in the use of the internet and social media. Billions of people worldwide use social media and spend an average of 2.2 h a day on these platforms. At the same time, artificial intelligence ...
Young Adult Adult Female Reproducibility of Results Middle Aged Surveys and Questionnaires Cross-Sectional Studies Male Humans Artificial Intelligence Feeding Behavior Behavior, Addictive Personal Satisfaction Turkey Psychometrics Social Media
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Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis.

AIDS (London, England) Mar 27, 2025
OBJECTIVES: To explore how artificial intelligence (AI) can enhance infodemiology, which distributes and scans information in the electronic medium, to process social media posts for HIV preexposure prophylaxis (PrEP).
Humans United States Artificial Intelligence Social Media HIV Infections Pre-Exposure Prophylaxis
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Who Tweets for the autistic community? A natural language processing-driven investigation.

Autism : the international journal of research and practice Mar 25, 2025
The formation of autism advocacy organisations led by family members of autistic individuals led to intense criticism from some parts of the autistic community. In response to what was perceived as a misrepresentation of their interests, autistic ind...
Humans Machine Learning Autistic Disorder Social Media Natural Language Processing
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