Dissecting a social Botnet: Growth, content and influence in twitter

CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing

Volumn , Issue , 2015, Pages 839-851

  Abokhodair, Norah ^a   Yoo, Daisy ^a   McDonald, David W ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Arab Spring; Automated Social Actor; Botnet; Bots; Social Computing; Twitter

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; GROUPWARE; INTERACTIVE COMPUTER SYSTEMS; SOCIAL NETWORKING (ONLINE);

BOTNET; BOTS; SOCIAL ACTORS; SOCIAL COMPUTING; TWITTER;

MALWARE;

EID: 84958156037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2675133.2675208     Document Type: Conference Paper

References (21)

1. Abu Rajab, M., Zarfoss, J., Monrose, F., and Terzis, A. (2006). A multifaceted approach to understanding the botnet phenomenon. In Proceedings of the 6th ACM SIGCOMM conference on Internet measurement (pp. 41-52). ACM.
2. Ackerman, M. S., Muramatsu, J., and McDonald D. W. (2010). Social Regulation in an Online Game: Uncovering the Problematics of Code.In Proceedings of the ACM 2010 International Conference on Supporting Group Work (GROUP'10).
3. Boshmaf, Y., Muslukhov, I., Beznosov, K., and Ripeanu, M. (2012). Key challenges in defending against malicious socialbots. In Proceedings of the 5th USENIX Conference on Large-scale Exploits and Emergent Threats, (LEET 12) (Vol. 12).
4. Cha, M., Haddadi, H., Benevenutu, F. and Gummadi, K. P. (2010). Measuring User Influence in Twitter: The Million Follower Fallacy.In Proceedings of the 2010 International AAAI Conference on Weblogs and Social Media (ICWSM10). 10-17.
5. Cheng, A., & Evans, M. (2009, August 1). Twitter Statistics-An In-depth Report At Most Active Twitter Users. Social media monitoring and analytics solutions. Retrieved June 3, 2014, from https://www.sysomos.com/insidetwitter/mostactiveuser s/
6. El-Nawawy, M., & Khamis, S. (2012). Political activism 2.0: Comparing the role of social media in Egypts "Facebook Revolution" and Irans "Twitter Uprising".CyberOrient. Online Journal of the Virtual Middle East, 6
7. Fleiss, J. L., Levin, B., & Paik, M. C. (2013). Statistical methods for rates and proportions. John Wiley & Sons.
8. Geiger, R. S. (2014). Bots, bespoke, code and the materiality of software platforms. Information, Communication and Society, 17, 3, 342-356
9. Gianvecchio, S., Xie, M., Wu, Z., and Wang, H. (2011). Humans and bots in internet chat: measurement, analysis, and automated classification. IEEE/ACM Transactions on Networking (TON), 19(5), 1557-1571.
10. Halfaker, A., & Riedl, J. (2012). Bots and cyborgs: Wikipedias immune system. Computer, 45(3), 79-82.
11. Karasaridis, A., Rexroad, B., and Hoeflin, D. (2007, April). Wide-scale botnet detection and characterization. In Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets (Vol. 7).
12. Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. biometrics, 159-174.
13. Muramatsu, J. and Ackerman, M. S. (1998). Computing, Social Activity, and Entertainment: A Field Study of a Game MUD. Computer Supported Cooperative Work: The Journal of Collaborative Computing 7: 87-122.
14. Protalinski, E. (2012). Facebook: 5-6% of accounts are fake | ZDNet.ZDNet. Retrieved May 27, 2014, from http://www.zdnet.com/blog/facebook/facebook-5-6-ofaccounts-Are-fake/10167
15. Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Flammini, A., and Menczer, F. (2011, July). Detecting and Tracking Political Abuse in Social Media. In ICWSM.
16. Rodriguez-Gomez, R. A., Macia-Fernandez, G., and Garcia-Teodoro, P. (2013). Survey and Taxonomy of Botnet Research through Life-Cycle. ACM Computing Survey. 45, 4 (August 2013).
17. Starbird, K., & Palen, L. (2012, February). (How) will the revolution be retweeted?: Information diffusion and the 2011 Egyptian uprising. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (pp. 7-16). ACM.
18. Stein, T., Chen, E., and Mangla, K. (2011). Facebook immune system. In Proceedings of the 4th Workshop on Social Network Systems (p. 8). ACM.
19. The Web Ecology Project.(2011). The 2011 socialbots competition. http://www.webecologyproject.org/category/competition
20. Yampolskiy, R. V. and Govindaraju, V. (2008). Embedded noninteractive continuous bot detection. Computers in Entertainment, 5(4), 7. ACM Press.
21. York, J. C. (2011, April ). Syria's Twitter spambots. (T. Guardian, Producer) Retrieved June 2014, from The Guardian: http://www.theguardian.com/commentisfree/2011/apr/21/syria-Twitter-spambots-pro-revolution