AIMC Topic: Cyberbullying
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Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques.
Scientific reports
Jul 2, 2025
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...
Using AI-Based Virtual Companions to Assist Adolescents with Autism in Recognizing and Addressing Cyberbullying.
Sensors (Basel, Switzerland)
Jun 15, 2024
Social media platforms and online gaming sites play a pervasive role in facilitating peer interaction and social development for adolescents, but they also pose potential threats to health and safety. It is crucial to tackle cyberbullying issues with...
Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media.
Computational intelligence and neuroscience
Jun 11, 2022
As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a significant increase in popularity in recent years. Security and privacy, on the other hand, are the key concer...
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach.
Journal of medical Internet research
Nov 11, 2020
BACKGROUND: SymptomGuide Dementia (DGI Clinical Inc) is a publicly available online symptom tracking tool to support caregivers of persons living with dementia. The value of such data are enhanced when the specific dementia stage is identified.
Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.
Aggressive behavior
Jan 1, 2025
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study ...
Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.
Prevention science : the official journal of the Society for Prevention Research
Nov 1, 2019
Bullying events have frequently been the focus of coverage by news media, including news stories about teens whose death from suicide was attributed to cyberbullying. Previous work has shown that news media coverage is influential to readers in areas...
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