AIMC Topic: Social Media

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G-CutMix: A CutMix-based graph data augmentation method for bot detection in social networks.

PloS one
The CutMix technique is a sophisticated approach for augmenting data in order to train neural network-based image classifiers. Essentially, it involves cutting out a portion of a random image and pasting it into the same location as another image. Ho...

Perceived Quality of Service in Primary Health Care Based on Google Maps Reviews Before, During, and After the COVID-19 Pandemic: Sentiment Analysis.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic caused many changes in primary health care systems in Europe. The fast adoption of telemedicine, the shift of health care resources to COVID-19-related tasks, and the tendency of patients to cancel their nonurgent ap...

Social Media Recruitment in Indigenous and Native American Populations: Challenges in the AI Age.

JMIR public health and surveillance
Using social media recruitment for public health research presents both opportunities and challenges. Despite its increased use, few studies have detailed the practical issues, challenges encountered, and alternative strategies available for social m...

Public Perspectives on Palliative and Hospice Care: Social Media Content Analysis Using Topic Modeling and Multiclass Sentiment Analysis.

Journal of medical Internet research
BACKGROUND: Palliative care enhances dignity and quality of life for patients with serious illnesses by managing distressing symptoms and supporting families. However, inadequate awareness and misconceptions often hinder patients and their families f...

Exploring Online Health Information-Seeking Behavior Among Young Adults: Scoping Review.

Journal of medical Internet research
BACKGROUND: The ability to access and evaluate online health information is essential for young adults to manage their physical and mental well-being. With the growing integration of the internet, mobile technology, and social media, young adults (ag...

INDIGO randomised controlled digital clinical trial: INvestigating DIgital outcomes and quality of life in cancer survivors - a study protocol.

BMJ open
INTRODUCTION: There are estimated to be 3.4 million patients in the UK living after a diagnosis of cancer. We know very little about their quality of life or healthcare usage. Patient-reported outcome measures (PROMs) are tools which help to translat...

Public perception and changing attitudes toward antidepressants over a decade in social media: Lessons learned from online discussion using artificial intelligence.

PloS one
BACKGROUND: Antidepressants play a crucial role in treating mental health disorders such as depression and anxiety. Understanding of patients' perspective on antidepressants is essential for improving treatment outcomes; however, year-to-year change ...

The public's perceptions and attitudes of male nursing postgraduate professional identity on Chinese social media: Qualitative study based on machine learning.

PloS one
BACKGROUND: Professional identity plays a critical role in the career development of male postgraduate nursing students, particularly in contexts where gender imbalance and social stereotypes persist.

Analyzing Health Care Professionals' Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study.

Journal of medical Internet research
BACKGROUND: The functioning of health care systems in emergencies relies on health care professionals (HCPs). During the COVID-19 pandemic, HCPs faced significant emotional challenges, which affected their productivity. Revealing HCPs' emotional resp...

Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit.

JMIR infodemiology
BACKGROUND: Cyber victimization exposes individuals to numerous risks. Developmental and psychological factors may leave some users unaware of the potential dangers, increasing their susceptibility to psychological distress. Despite this vulnerabilit...