Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection
Tassava, Matthew, Kolodjski, Cameron, Milbrath, Jordan, Bishop, Adorah, Flanders, Nathan, Fetsch, Robbie, Hanson, Danielle, Straub, Jeremy
–arXiv.org Artificial Intelligence
It has become a pronounced problem due to the increasing ubiquity of online platforms that provide a means to conduct it. A significant amount of this cyberbullying is conducted by and targets teenagers. It is difficult for teenage students to shut themselves off from the digital world in which the cyberbullying is taking place. Given how entrenched the use of digital apps is by today's youth, and the pronounced consequences of it - including victim self-harm, in some cases - cyberbullying is at least as much of a threat as physical bullying. Additionally, because of the obfuscation caused by the online environment, authorities (such as parents, teachers and law enforcement) may have difficulty determining what has occurred and who the actors participating are.
arXiv.org Artificial Intelligence
Aug-19-2024
- Country:
- Africa (0.04)
- Asia
- Bangladesh > Dhaka Division
- Dhaka District > Dhaka (0.04)
- China (0.04)
- Middle East > Jordan (0.04)
- Bangladesh > Dhaka Division
- Atlantic Ocean > Mediterranean Sea
- Aegean Sea (0.04)
- Europe
- North America > United States
- North Dakota > Cass County
- Fargo (0.04)
- Washington > King County
- Seattle (0.04)
- North Dakota > Cass County
- Oceania
- Australia > Australian Capital Territory
- Canberra (0.04)
- New Zealand (0.04)
- Australia > Australian Capital Territory
- Genre:
- Research Report (0.63)
- Industry:
- Technology: