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

EdgeTDC: On the Security of Time Difference of Arrival...

Marc Roeschlin (ETH Zurich, Switzerland), Giovanni Camurati (ETH Zurich, Switzerland), Pascal Brunner (ETH Zurich, Switzerland), Mridula Singh (CISPA Helmholtz Center for Information Security), Srdjan Capkun (ETH Zurich, Switzerland)

Read More

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better...

Siyuan Cheng (Purdue University), Guanhong Tao (Purdue University), Yingqi Liu (Purdue University), Shengwei An (Purdue University), Xiangzhe Xu (Purdue University), Shiwei Feng (Purdue University), Guangyu Shen (Purdue University), Kaiyuan Zhang (Purdue University), Qiuling Xu (Purdue University), Shiqing Ma (Rutgers University), Xiangyu Zhang (Purdue University)

Read More

On the Feasibility of Profiling Electric Vehicles through Charging...

Ankit Gangwal (IIIT Hyderabad), Aakash Jain (IIIT Hyderabad) and Mauro Conti (University of Padua)

Read More

Taking a Closer Look at the Alexa Skill Ecosystem

Christopher Lentzsch (Ruhr-Universität Bochum), Anupam Das (North Carolina State University)

Read More