Fighting Cyberbullying: An Analysis of Algorithms Used to Detect Harassing Text Found on YouTube

Rachel E. Trana, Christopher E. Gomez, Rachel F. Adler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cyberbullying is a form of harassment that occurs through online communication with the intention of causing emotional distress to the intended target(s). Given the increase in cyberbullying, our goal is to develop a machine learning classification schema to minimize incidents specifically involving text extracted from image memes. To provide a current corpus for classification of the text that can be found in image memes, we collected a corpus containing approximately 19,000 text comments extracted from YouTube. We report on the efficacy of three machine learning classifiers, naive Bayes, Support Vector Machine, and a convolutional neural network applied to a YouTube dataset, and compare the results to an existing Formspring dataset. Additionally, we investigate algorithms for detecting cyberbullying in topic-based subgroups within the YouTube corpus.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer Netherlands
Pages9-15
Number of pages7
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
Externally publishedYes
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: Jul 16 2020Jul 20 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period7/16/207/20/20

Keywords

  • CNN
  • Cyberbullying
  • Machine learning
  • Naive Bayes
  • SVM
  • YouTube

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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