AIMC Topic: Social Media

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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis.

Journal of medical Internet research
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...

Year 2023 in Biomedical Natural Language Processing: a Tribute to Large Language Models and Generative AI.

Yearbook of medical informatics
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 for Digital Health in the Era of Large Language Models.

Yearbook of medical informatics
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...

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
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 ...

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
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 ...

Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis.

AIDS (London, England)
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).

Who Tweets for the autistic community? A natural language processing-driven investigation.

Autism : the international journal of research and practice
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...

Neuroanthropology and Body Image: The Impact of Technology and Cultural Shifts on Self-Perception.

Culture, medicine and psychiatry
The proliferation of filters, technologies, and aesthetic procedures has contributed to a surge in body image concerns, with individuals now able to purchase and alter specific body parts. This phenomenon intersects with considerations of self-object...

Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis.

PloS one
BACKGROUND: In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-related social media applications and websites to seek breastfeeding-related information. At the same time, AI-based chatbots-such as ChatGPT, Gemini,...

Application of the LDA model to identify topics in telemedicine conversations on the X social network.

BMC health services research
The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. Quite frequently, both patients and health professionals use social m...