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Cyberbullying is a phenomenon which negatively affects individuals. Victims of the cyberbullying suffer from a range of mental issues, ranging from depression to low self-esteem. Due to the advent of the social media platforms, cyberbullying is becoming more and more prevalent. Traditional mechanisms to fight against cyberbullying include use of

Cyberbullying is a phenomenon which negatively affects individuals. Victims of the cyberbullying suffer from a range of mental issues, ranging from depression to low self-esteem. Due to the advent of the social media platforms, cyberbullying is becoming more and more prevalent. Traditional mechanisms to fight against cyberbullying include use of standards and guidelines, human moderators, use of blacklists based on profane words, and regular expressions to manually detect cyberbullying. However, these mechanisms fall short in social media and do not scale well. Users in social media use intentional evasive expressions like, obfuscation of abusive words, which necessitates the development of a sophisticated learning framework to automatically detect new cyberbullying behaviors. Cyberbullying detection in social media is a challenging task due to short, noisy and unstructured content and intentional obfuscation of the abusive words or phrases by social media users. Motivated by sociological and psychological findings on bullying behavior and its correlation with emotions, we propose to leverage the sentiment information to accurately detect cyberbullying behavior in social media by proposing an effective optimization framework. Experimental results on two real-world social media datasets show the superiority of the proposed framework. Further studies validate the effectiveness of leveraging sentiment information for cyberbullying detection.
ContributorsDani, Harsh (Author) / Liu, Huan (Thesis advisor) / Tong, Hanghang (Committee member) / He, Jingrui (Committee member) / Arizona State University (Publisher)
Created2017
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Description

Background: Cyberbullying and cyber-victimization are rising problems and are associated with increased risk for mental health problems in children. Methods for addressing cyberbullying are limited, however, interventions focused on promoting appropriate parental mediation strategies are a promising solution supported by evidence and by guided by the Theory of Parenting Styles.

Objective:

Background: Cyberbullying and cyber-victimization are rising problems and are associated with increased risk for mental health problems in children. Methods for addressing cyberbullying are limited, however, interventions focused on promoting appropriate parental mediation strategies are a promising solution supported by evidence and by guided by the Theory of Parenting Styles.

Objective: To provide an educational session to parents of middle school students that promotes effective methods of preventing and addressing cyberbullying incidents. Design: The educational sessions were provided to eight parents middle school student. Surveys to assess parent perception of and planned response to cyberbullying incidents and Parent Adolescent Communication Scale (PACS) scores were collected pre-presentation, post-presentation, and at one-month follow up.

Results: Data analysis of pre- and post-presentation PACS using a Wilcoxon test found no significant difference (Z = -.405, p >.05). There was not enough response to the 1-month follow-up to perform a data analysis on follow-up data.

Conclusions: Due to low attendance and participation in the follow-up survey the results of this project are limited. However, parents did appear to benefit from communicating concerns about cyberbullying with school officials. Future studies should examine if a school-wide anti-cyberbullying program that actively involves parents effects parental response to cyberbullying.

ContributorsKelsy, Streeter (Author) / Guthrey, Ann (Thesis advisor)
Created2017-04-30