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Currently, bullying among children is a serious social problem and even acts as one of the primary mental health problems. Therefore, various types of bullying have been detected, including physical, verbal, social, and cyberbullying, which uses technology within reach of the aggressor to broadcast the damage and make the victim constantly harassed. Artificial intelligence and bullying are widely studied and researched, but they are not regularly used together to mitigate the bullying problem. Nevertheless, this research aims to identify the keywords extracted from different audiovisual media whose central theme is bullying and cyberbullying to create semantic fields corresponding to the text extracted from the video and generate a guide for automated bullying detection as support for professionals.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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