Detecting the Presence of Cyberbullying Using Computer Software

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Bayzick, Cyberbullying 20For example, the severity of a swear words can be examined by looking atthe number of swear words a particular user uses in general conversation. This willbe more helpful when enough data has been collected that a “user history” can bestored and the vulgarity of a user can be examined over time. Currently, thenumber of swear words a user types in a post divided by the number of swearwords in the entire window determines the vulgarity of a post. The connectionbetween the vulgarity of a post and the presence of cyberbullying has not yet beenestablished.A user is considered to be a cyberbully if one or more lines of chat posted bythe user in a thread are considered cyberbullying.C. Window levelA window is labeled as containing cyberbullying if it contains any posts that arelabeled as containing cyberbullying. As described in section III, a single line of nastyconversation may not be considered cyberbullying. The window level wasconceptualized to be primarily concerned with distinguishing between types ofcyberbullying. BullyTracer was designed to be expandable in later stages of theproject.It should be noted, however, that while development has begun on animplementation of ChatCoder as a research-based Internet monitoring tool,BullyTracer is far more preliminary. This paper lays the groundwork for furtherexamination of the linguistic components of a cyberbullying conversation, thedistinction between various types of cyberbullying, and the algorithms used todetect the presence of cyberbullying language.
Bayzick, Cyberbullying 21VII BullyTracer Design DetailsThis section will examine the specific design details of BullyTracer. The program iswritten in the Java programming language. A class diagram is seen in Figure 1.BullyTracer Class DiagramThreadList of posts of achat log – windowList of usersPostUserTimestampBodyList of SubcategoriesCyberbullying or InnocentFile DirectoryList of threads –windowsPerforms reliabilitycalculationsUserUsernameLocation information (providedby MySpace)Probable bully or victimUserwritesa postDictionaryhighlights words inbody of postDictionaryEntries withsubcategoriesFigure 1: a class diagram for BullyTracerWhen the program begins running, it loops through all the files in a pre-defineddirectory, and processes all files that are in XML format. It is assumed that each xml filecontains a single window because a companion program was built to split an entire threadinto windows of 10 lines. Within the program, a FileDirectory contains of all the windows inthe given root directory, a thread is be used to describe the entire conversation in the filecontaining a single window, a user contains all information about a user that posts in a giventhread, and a post constitutes a single line of chat posted by a user. A post has anassociated post ID, user ID, body, and timestamp, as well as a number of different attributesbased on the content of the body. In the program, a user keeps track of its own user ID,
Page 1 and 2: Detecting the Presence of Cyberbull
Page 3 and 4: Bayzick, Cyberbullying 3AbstractCyb
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: Bayzick, Cyberbullying 19insult to
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

Detecting the Presence of Cyberbullying Using Computer Software

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