AIMC Topic: Social Media

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GAN-AVI: facial expression translator in Twitter avatar analogous to tweet sentiments.

Scientific reports
As widely spread social media platform, Twitter (Now named as X) is seamlessly used by many to share their thoughts and opinions. Twitter Avatar which is the profile image of the user, is initially uploaded when the user takes his account and never c...

Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study.

JMIR formative research
BACKGROUND: In the digital age, social media has become a crucial platform for public discourse on diverse health-related topics, including vaccines. Efficient sentiment analysis and hesitancy detection are essential for understanding public opinions...

Analysis of Breast Cancer Information on Facebook Using Neural Network-Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study.

Journal of medical Internet research
BACKGROUND: Breast cancer is the most common cancer diagnosis among women, with approximately 2.3 million new cases annually. When faced with a cancer diagnosis, individuals often turn to the internet for information or reassurance, despite the risk ...

Mapping subnational gender gaps in internet and mobile adoption using social media data.

Proceedings of the National Academy of Sciences of the United States of America
The digital revolution has ushered in many societal and economic benefits. Yet access to digital technologies such as mobile phones and internet remains highly unequal, especially by gender in the context of low- and middle-income countries (LMICs). ...

Bibliometric Insights Into the Infodemic: Global Research Trends and Policy Responses: Quantitative Research.

JMIR medical informatics
BACKGROUND: Amidst the COVID-19 pandemic, the proliferation of misinformation on social media, termed the "infodemic," has complicated global health responses.

On the Influence of Apologies on the Likelihood of Lawsuits in Cases of Perceived Medical Negligence: Analysis of Archival and Experimental Data.

Journal of medical Internet research
BACKGROUND: Disappointing medical care (DMC) encompasses cases of medical failures, malpractice, or errors. Literature suggests that individuals' perceptions of harm resulting from medical procedures influence their intention to seek legal recourse a...

Multi-modal deep-attention-BiLSTM based early detection of mental health issues using social media posts.

Scientific reports
The rising prevalence of mental health disorders such as depression, anxiety, and bipolar disorder underscores the urgent need for effective tools to enable early detection and intervention. Social media platforms like Reddit offer a rich source of u...

Quality of Cancer-Related Information on New Media (2014-2023): Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: New media have become vital sources of cancer-related health information. However, concerns about the quality of that information persist.

Physical Activity Misinformation on Social Media: Systematic Review.

JMIR infodemiology
BACKGROUND: Social media is a prominent way in which health information is spread. The accuracy and credibility of such sources range widely, with misleading statements, misreported results of studies, and a lack of references causing health misinfor...

Preferences, Perceptions, and Use of Online Nutrition Content Among Young Australian Adults: Qualitative Study.

Journal of medical Internet research
BACKGROUND: Nutrition misinformation is pervasive on frequently accessed online sources such as social media platforms and websites. Young adults are at a high risk of viewing or engaging with this content due to their high internet and social media ...