Detecting the Presence of Cyberbullying Using Computer Software

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Bayzick, Cyberbullying 2Distinguished Honors Signature PageJennifer BayzickDetecting the Presence of Cyberbullying Using Computer SoftwareAdvisor(s):____________________________________April KontostathisCommittee members:____________________________________April KontostathisOutside Evaluator:____________________________________Akshaye Dhawan____________________________________Lynne Edwards____________________________________John P. DoughertyApproved:____________________________________Roger Coleman
Bayzick, Cyberbullying 3AbstractCyberbullying is willful and repeated harm inflicted through the medium ofelectronic text. The goal of this project is to design computer software to detect thepresence of cyberbullying in online chat conversations. Though there are some commercialproducts that profess to detect cyberbullying [6], none are research-based, and this projectprovides the foundations of research that could be used in home monitoring software.What constitutes cyberbullying? What categorizes a chat post that containscyberbullying? What are the defining features of each category? The types of cyberbullyingdealt with in this project included the following: flooding, masquerade, flaming, trolling,harassment, cyberstalking, denigration, outing, and exclusion. Rules based on a dictionaryof key words are used to classify a window of posts.Once the program implementing these rules was built, its decisions had to be runagainst a truth set determined by human hand coders. We developed a truth set by givingeach window to three human coders. The final truth set was determined by a voting system,where, if at least two of the three coders labeled a window as containing cyberbullying, itwas labeled as cyberbullying in the truth set.The program was found to correctly identify windows containing cyberbullying85.30% of the time, and it identifies an innocent window correctly 51.91% of the time.Overall, it decides correctly 58.63% of the windows. This suggests that our coding rulesmust be refined to not falsely flag so much innocent conversation.
Page 1: Detecting the Presence of Cyberbull
Page 5 and 6: Bayzick, Cyberbullying 5I Introduct
Page 7 and 8: Bayzick, Cyberbullying 7o“Dude to
Page 9 and 10: Bayzick, Cyberbullying 9III Types o
Page 11 and 12: Bayzick, Cyberbullying 11masquerade
Page 13 and 14: Bayzick, Cyberbullying 13vii. Denig
Page 15 and 16: Bayzick, Cyberbullying 15IV Dataset
Page 17 and 18: Bayzick, Cyberbullying 17V ChatCode
Page 19 and 20: Bayzick, Cyberbullying 19insult to
Page 21 and 22: Bayzick, Cyberbullying 21VII BullyT
Page 23 and 24: Bayzick, Cyberbullying 23VIII Evalu
Page 25 and 26: Bayzick, Cyberbullying 25However, t
Page 27 and 28: Bayzick, Cyberbullying 27X Acknowle
Page 29 and 30: Bayzick, Cyberbullying 29Appendix A
Page 31 and 32: Bayzick, Cyberbullying 315. Lots of
Page 33: Bayzick, Cyberbullying 33douchebagi

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