Analyzing Negative User Behavior in a Semi-anonymous Social Network
Year: 2014
Type: preprint
Abstract: —Cyberbullying has emerged as an important and growing social problem, wherein people use online social networks and mobile phones to bully victims with offensive text, images, audio and video on a 24/7 basis. This paper studies negative user behavior in the Ask.fm social network, a popular new site that has led to many cases of cyberbullying, some leading to suicidal behavior. We examine the occurrence of negative words in Ask.fm’s question/answer profiles along with the social network of “likes ” of questions/answers. We also examine properties of users with “cutting ” behavior in this social network. I.
Source: arXiv (Cornell University)
Institution: University of Colorado Boulder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1721821109