We’re pleased to announce that Kyle Beadle will be visiting our team on June 30. He will give a seminar at 11:00 AM in the Henri Poincaré room (ground floor).
Title
A Privacy Framework for Security Research Using Social Media Data
Abstract
The use of social media data in research is common, spanning fields from computer science to social science, from human-computer interaction to law and criminology. Even though the datasets used are often described as anonymous, research demonstrates that re-identification risks remain substantial. These datasets also contain sensitive information. While social media users often discuss mundane topics such as entertainment and travel, disclosures delve into intimate personal stories related to sensitive topics such as sexual abuse, pregnancy loss, and gender transition–both anonymously and in identifying ways. In this talk, I will explore how researchers use social media data, the privacy risks present, and how researchers currently mitigate such risks. I will also discuss the fundamental tensions between attempting to mitigate privacy risks and performing computational analysis of social media data. Finally, I will consider the implications for authors, institutions, and publications venues toward more privacy-inclusive choices when using social media data in research.
Bio
Kyle Beadle (he/him) is a PhD Candidate in the Department of Computer Science at University College London supervised by Marie Vasek, Mark Warner, and Leonie Tanzcer. His interdisciplinary work focuses on scrutinizing the surveillance possibilities of digital services and emerging technologies, with a particular focus on security and privacy in online platforms. His work appears in top-tier computer science venues, such as IEEE Symposium on Security and Privacy (S&P) and Computer-Supported Cooperative Work and Social Computing (CSCW).
