Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Analysis of Cyber Aggression and Cyber-Bullying in Social Networking

Authors: Tadashi Nakano; Tatsuya Suda; Yutaka Okaie; Michael J. Moore;

Analysis of Cyber Aggression and Cyber-Bullying in Social Networking

Abstract

This paper considers Ask.fm, a social networking site where users create profiles and can send each other questions, and analyses aggressive user behavior that may potentially lead to cyber-bullying incidents. We hypothesize that anonymity is a primary cause of such aggressive user behavior and examine how anonymous and non-anonymous users behave in social networking. We collected data from Ask.fm and analyzed questions posted by anonymous and non-anonymous users and answers posted by non-anonymous users. Analysis of the collected data shows that anonymous users exhibit more aggressive behavior than non-anonymous users. Analysis also shows that users become more aggressive in answering aggressive anonymous questions than aggressive non-anonymous questions.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!