@article{ref1,
title="Towards understanding cyberbullying behavior in a semi-anonymous social network",
journal="arXiv eprint archive",
year="2014",
author="Hosseinmardi, Homa and Ghasemianlangroodi, Amir and Han, Richard and Lv, Qin and Mishra, Shivakant",
volume="",
number="",
pages="1404.3839-1404.3839",
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.fms 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.<p /> <p>Language: en</p>",
language="en",
issn="",
doi="",
url="http://dx.doi.org/"
}