Filipo Sharevski (DePaul University)

Learning how people deal with misinformation on social media is relatively new line of inquiry as so far the research has focused on narrow information manipulation interventions. As the dissemination and/or discernment of falsehoods is uniquely driven by users’ identity and self-representation on social media, the inquiry into the misinformation “folklore” entails careful balancing between extracting users’ actual behavior traits and ensuring face-saving and dignified participation. In this talk, I will cover the strategies employed in inquires regarding users’ dealings with misinformation on both mainstream platforms (e.g. Twitter, TikTok) and alternative platforms (e.g. Gettr) that rest of substantive data-driven analysis of the platform and/or misinformation issue of interest, pilot testing, and nuanced phenomenological observations. Misinformation as a topic enables abundant social media data to append the analysis of the qualitative user responses, so. I will also cover mixed analytical approaches that enrich the overall human-subject inquiry on social media misinformation.

Speaker's Biography

Dr. Filipo Sharevski is an associate professor of cybersecurity at DePaul University and the director of the Adversarial Cybersecurity Automation Lab. His main research interest is focused on information manipulation as it unfolds across cyberspace, particularly materialized through m/disinformation campaigns on social media, social engineering, adversarial machine learning, as well as usable security ergonomics. He regularly publishes in relevant cybersecurity venues, actively participates in the ACM and IEEE associations, and holds leadership positions in scientific communities focused on creating meaningful and equitable pathways of cybersecurity education. Dr. Sharevski earned the PhD degree in interdisciplinary information security at Purdue University, CERIAS in 2015.

View More Papers

Short: Rethinking Secure Pairing in Drone Swarms

Muslum Ozgur Ozmen, Habiba Farrukh, Hyungsub Kim, Antonio Bianchi, Z. Berkay Celik (Purdue University)

Read More

A Security Study about Electron Applications and a Programming...

Zihao Jin (Microsoft Research and Tsinghua University), Shuo Chen (Microsoft Research), Yang Chen (Microsoft Research), Haixin Duan (Tsinghua University and Quancheng Laboratory), Jianjun Chen (Tsinghua University and Zhongguancun Laboratory), Jianping Wu (Tsinghua University)

Read More

DrawnApart: A Deep-Learning Enhanced GPU Fingerprinting Technique

Naif Mehanna (University of Lille, CNRS, Inria), Tomer Laor (Ben-Gurion University of the Negev)

Read More

How to Count Bots in Longitudinal Datasets of IP...

Leon Böck (Technische Universität Darmstadt), Dave Levin (University of Maryland), Ramakrishna Padmanabhan (CAIDA), Christian Doerr (Hasso Plattner Institute), Max Mühlhäuser (Technical University of Darmstadt)

Read More