Challenges and future directions of automated cyberbullying detection

Nargess Tahmasbi, Alexander Fuchsberger

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

Abstract

Cyberbullying has grown into a widespread psychological encounter in the socio-technical era. The use of social media and technology has given perpetrators new ways to remain anonymous without fear of consequences to their actions. Studies have attempted to address the issue and tackle the problem of automated cyberbullying detection using various approaches. Due to the infancy of this stream of research, a comprehensive overview of the current state is needed. In this study, we conduct a systematic literature review to identify common practices and techniques used in automated cyberbullying research. We identify major challenges that have not been addressed in the literature. Finally, we provide suggestions on how to address these challenges and contribute to more accurate, automated cyberbullying detection methods.

Original languageEnglish (US)
Title of host publicationAmericas Conference on Information Systems 2018
Subtitle of host publicationDigital Disruption, AMCIS 2018
PublisherAssociation for Information Systems
ISBN (Print)9780996683166
StatePublished - Jan 1 2018
Event24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018 - New Orleans, United States
Duration: Aug 16 2018Aug 18 2018

Publication series

NameAmericas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018

Other

Other24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
CountryUnited States
CityNew Orleans
Period8/16/188/18/18

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Tahmasbi, N., & Fuchsberger, A. (2018). Challenges and future directions of automated cyberbullying detection. In Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018 (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018). Association for Information Systems.
Tahmasbi, Nargess ; Fuchsberger, Alexander. / Challenges and future directions of automated cyberbullying detection. Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems, 2018. (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018).
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abstract = "Cyberbullying has grown into a widespread psychological encounter in the socio-technical era. The use of social media and technology has given perpetrators new ways to remain anonymous without fear of consequences to their actions. Studies have attempted to address the issue and tackle the problem of automated cyberbullying detection using various approaches. Due to the infancy of this stream of research, a comprehensive overview of the current state is needed. In this study, we conduct a systematic literature review to identify common practices and techniques used in automated cyberbullying research. We identify major challenges that have not been addressed in the literature. Finally, we provide suggestions on how to address these challenges and contribute to more accurate, automated cyberbullying detection methods.",
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Tahmasbi, N & Fuchsberger, A 2018, Challenges and future directions of automated cyberbullying detection. in Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018, Association for Information Systems, 24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018, New Orleans, United States, 8/16/18.

Challenges and future directions of automated cyberbullying detection. / Tahmasbi, Nargess; Fuchsberger, Alexander.

Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems, 2018. (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018).

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

TY - GEN

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N2 - Cyberbullying has grown into a widespread psychological encounter in the socio-technical era. The use of social media and technology has given perpetrators new ways to remain anonymous without fear of consequences to their actions. Studies have attempted to address the issue and tackle the problem of automated cyberbullying detection using various approaches. Due to the infancy of this stream of research, a comprehensive overview of the current state is needed. In this study, we conduct a systematic literature review to identify common practices and techniques used in automated cyberbullying research. We identify major challenges that have not been addressed in the literature. Finally, we provide suggestions on how to address these challenges and contribute to more accurate, automated cyberbullying detection methods.

AB - Cyberbullying has grown into a widespread psychological encounter in the socio-technical era. The use of social media and technology has given perpetrators new ways to remain anonymous without fear of consequences to their actions. Studies have attempted to address the issue and tackle the problem of automated cyberbullying detection using various approaches. Due to the infancy of this stream of research, a comprehensive overview of the current state is needed. In this study, we conduct a systematic literature review to identify common practices and techniques used in automated cyberbullying research. We identify major challenges that have not been addressed in the literature. Finally, we provide suggestions on how to address these challenges and contribute to more accurate, automated cyberbullying detection methods.

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Tahmasbi N, Fuchsberger A. Challenges and future directions of automated cyberbullying detection. In Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems. 2018. (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018).