Observation on Spammers in Sina Weibo

DOI

10.2991/iccsee.2013.284How to use a DOI?

Keywords

Chinese micro-blog communities, Sina weibo, spammers

Abstract

Micro-blogging service has been developing and evolving rapidly in China which has led to a significant rise in social spamming attacks. However, little is known about these spammers. Thus, in this paper, we presented an observation on spammers in Sina Weibo, the biggest micro-blogging community in China. Specifically, we used program-controlled profiles to monitor, track and record spamming behaviors. We gave a detailed description of the experiment settings and then analyzed the spamming data collected by these profiles. We found that the spammers on Sina Weibo can be classified into two categories and they shared some distinguishing characteristics. These results are promising for the future study on automatically detecting and identifying spammers.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong Xu
AU  - Yi Zhou
AU  - Kai Chen
PY  - 2013/03
DA  - 2013/03
TI  - Observation on Spammers in Sina Weibo
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1133
EP  - 1136
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.284
DO  - 10.2991/iccsee.2013.284
ID  - Xu2013/03
ER  -