AIMC Topic: Social Media

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Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Scientific reports
Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anxiety, depression, and social isolation. Psychological research suggests that cyberbullying victims may experience long-term psychological consequences...

Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces.

Scientific reports
In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, so...

Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts.

JMIR infodemiology
BACKGROUND: Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women's Health Organization decision from the US Supreme Court in June 2022. With further constraints on access ...

Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

Journal of medical Internet research
BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pr...

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites.

Journal of medical Internet research
BACKGROUND: School-based online surveillance of students has been widely adopted by middle and high school administrators over the past decade. Little is known about the technology companies that provide these services or the benefits and harms of th...

Novel 59-layer dense inception network for robust deepfake identification.

Scientific reports
The exponential growth of Artificial Intelligence (AI) has led to the emergence of cutting edge methods and a plethora of new tools for media editing. The use of these tools has also facilitated the spread of false information, propaganda, and harass...

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

Scientific reports
The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the critical challenge of automated mental health classifi...

Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques.

Scientific reports
Social media has become an integral part of daily life, with platforms like Twitter serving as popular outlets for users to share information and express grievances. While social media offers numerous benefits, it can also be misused for cyberbullyin...

Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Scientific reports
Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and quality of responses generated by ChatGPT-4, an LLM-driven chatbot, compared to those written by physi...

A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network.

Scientific reports
To improve the accuracy and efficiency of fake news detection, this study proposes a deep learning model that integrates residual networks with attention mechanisms. Building on traditional convolutional neural networks, the model incorporates multi-...