Detecting the Presence of Cyberbullying Using Computer Software
نویسندگان
چکیده
Cyberbullying is willful and repeated harm inflicted through the medium of electronic text. Computer software was developed to detect the presence of cyberbullying in online chat conversations. Rules based on a dictionary of key words are used to classify a window of posts. A truth set of MySpace threads was created. The software was found to correctly identify windows containing cyberbullying 85.30% of the time, and it identifies innocent windows 51.91% of the time. The overall accuracy is 58.63%. This suggests that our coding rules must be refined to not falsely flag so much innocent conversation.
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