AIMC Topic: Social Media

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Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons.

Aesthetic surgery journal
BACKGROUND: Social media platforms have come to represent integral components of the professional marketing and advertising strategy for plastic surgeons. Effective and consistent content development, however, remains technically demanding and time c...

Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
INTRODUCTION: There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as a...

Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
INTRODUCTION: Instagram is a popular social networking platform for sharing photos with a large proportion of youth and young adult users. We aim to identify key features in anti-vaping Instagram image posts associated with high social media user eng...

Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Health-related social media data generated by patients and the public provide valuable insights into patient experiences and opinions toward health issues such as vaccination and medical treatments. Using Natural Language Processing (NLP) methods to ...

Analyzing Dementia Caregivers' Experiences on Twitter: A Term-Weighted Topic Modeling Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Dementia profoundly impacts patients and their families, making it essential to understand the experiences and concerns offamily caregivers for enhanced support and care. This study introduces a novel approach to analyzing tweets from individuals who...

The Growing Impact of Natural Language Processing in Healthcare and Public Health.

Inquiry : a journal of medical care organization, provision and financing
Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on understanding and generating human language. NLP technologies are becoming more prevalent in healthcare and hold potential solutions to current problems...

Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics.

Studies in health technology and informatics
As social media use has grown in recent years, ease of access and rapid data collection through online social media has permitted researchers to measure and track sentiments related to emerging public health threats. Herein, we explore the possibilit...

Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter.

Studies in health technology and informatics
In previous work, we implemented a deep learning model with CamemBERT and PyTorch, and built a microservices architecture using the TorchServe serving library. Without TorchServe, inference time was three times faster when the model was loaded once i...