©2019 Sarah Rajtmajer, PhD

MALICIOUS BEHAVIOR IN NETWORKED POPULATIONS

We aim to learn the dynamic signatures of abusive behavior in social computing systems. Questions of interest include: Is cyberbullying “contagious”, or does it have an opposite, more polarizing effect? Which users, or in many cases, which specific pieces of content are most vulnerable to attack? How can one detect and mitigate malicious actors in crowd work platforms? In this thread of research, we marry supervised machine learning methods, computer vision, natural language processing and game-theoretic models of peer influence to characterize deviant behavior in networked populations.

  • C. Qiu, A. Squicciarini, S. Rajtmajer. Rating Mechanisms for Sustainability of Crowdsourcing Platforms. ACM Conference on Information and Knowledge Management (CIKM), November 2019.

  • C. Qiu, A. Squicciarini, S. Rajtmajer and J. Caverlee. Dynamic Contract Design for Heterogeneous Workers in Crowdsourcing for Quality Control. International Conference on Digital Society (IEEE ICDS), July 2017.

  • A. Squicciarini, S. Rajtmajer and C. Griffin. Positive and Negative Behavioral Analysis in Social Networks. WIRE Data Mining and Knowledge Discovery, May 2017.

  • H. Zhong, H. Li, A. Squicciarini, S. Rajtmajer, C. Griffin, D. Miller and C. Caragea. Content- Driven Detection of Cyberbullying on the Instagram Social Network. International Conference on Artificial Intelligence (IJCAI), July 2016.

  • C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for Deindividuation and Antinormative Behavior in Online Social Networks. Social Network Analysis and Mining (SNAM), January 2016.

  • C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for the Spread of Abusive Content in Online Social Sites. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015. 

  • A. Squicciarini, S. Rajtmajer, Y. Liu and C. Griffin. Identification and Characterization of Cyberbullying Dynamics in an Online Social Network. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015. 

  • S. Rajtmajer, C. Griffin, D. Mikesell and A. Squicciarini. An Evolutionary Game Model for the Spread of Non-Cooperative Behavior in Online Social Networks. In Proc. 30th ACM Symposium on Applied Computing, April 2015.