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

Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic...

Meisam Mohammady (Iowa State University), Reza Arablouei (Data61, CSIRO)

Read More

SoundLock: A Novel User Authentication Scheme for VR Devices...

Huadi Zhu (The University of Texas at Arlington), Mingyan Xiao (The University of Texas at Arlington), Demoria Sherman (The University of Texas at Arlington), Ming Li (The University of Texas at Arlington)

Read More

Accurate Compiler and Optimization Independent Function Identification Using Program...

Derrick McKee (Purdue University), Nathan Burow (MIT Lincoln Laboratory), Mathias Payer (EPFL)

Read More

Preventing SIM Box Fraud Using Device Model Fingerprinting

BeomSeok Oh (KAIST), Junho Ahn (KAIST), Sangwook Bae (KAIST), Mincheol Son (KAIST), Yonghwa Lee (KAIST), Min Suk Kang (KAIST), Yongdae Kim (KAIST)

Read More