Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Obsidian Test Post
Published:
Test
This is a test post for typing in Obsidian and pushing to github.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Peer Surveillance in Online Communities
Published in 7th Workshop on Inclusive Privacy and Security (WIPS) - USENIX Symposium on Usable Privacy and Security (SOUPS), 2023
By synthesizing over 40 years of developments in the analysis of surveillance, we derive properties of online communities that enable the abuse of user data by fellow community members and suggest key steps to improving security for vulnerable users. Deploying this new framework on new and existing platforms will ensure that online communities are privacy-conscious and designed more inclusively.
Recommended citation: Beadle, Kyle and Vasek, Marie. (2023). "Peer Surveillance in Online Communities." USENIX Symposium on Usable Privacy and Security (SOUPS) 2023. http://kylebeadle.com/files/2023wips.pdf
The Possibilities of Data Resistance in a Digital Society
Published in The British Academy, 2024
In our digital society, marginalised and vulnerable populations are unequally at risk of discrimination, surveillance, and lack of representation from the collection, analysis, and usage of their data. Instead of submitting to these consequences of our digital society, data resistance, or the subversive and productive act of responding to the power of corporate and governmental data practices, offers a way out. This paper presents acts of data resistance from across the globe to argue that a good digital society mirrors a good democratic society—one that supports individual and collective agency, autonomy, and empowerment, strengthens democratic values and promotes equality and justice, and stimulates market competition. The paper concludes with three, brief policy provocations, imposing a data tax, enabling participatory governance of data regulation, and establishing self-sovereign identity, all of which build upon the work of activists, academics, and artists dedicated to creating a better digital society.
Recommended citation: Beadle, Kyle. (2024). "The Possibilities of Data Resistance in a Digital Society." The British Academy. http://kylebeadle.com/files/2024ba.pdf
“Edit: I’m sorry for being offensive, this is getting downvoted and I feel terrible”: Implicit Social Norms as Governance in Identity-Based Communities
Published in Proceedings of the ACM on Human-Computer Interaction, 2025
Community norms are important in regulating online identity-based communities as they help shape both online and offline discourse. Yet, not all expressions of identity are treated equally as acceptable forms of speech and expression of identity differ among communities. We used mixed-methods to understand how implicit norms within a set of non-binary communities are reinforced and shaped through influence within these communities. We analyzed approximately 2 million Reddit posts and comments to measure the effect of scores, replies, and self-disclosures, on user editing behaviors, which we use as means to observe norm regulation. We find self-disclosures and the number of replies a post receives is positively associated with editing behaviors, while the influence of scores on the likelihood of a message being edited is highly dependent on whether the message is a post or comment. Our qualitative analysis of posts, comments, and threads finds community norms are created, contested, and reinforced through the interactions between community and individual-level understanding of what it means to be non-binary. We propose a model for implicit norms as governance in identity-based communities, and discuss how platform designers can better use implicit norms to support governance in identity-based communities.
Recommended citation: Kyle Beadle, Mark Warner, and Marie Vasek. 2025. "Edit: I'm sorry for being offensive, this is getting downvoted and I feel terrible": Implicit Social Norms as Governance in Identity-Based Communities. Proc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW002 (May 2025). https://doi.org/10.1145/3710900 http://kylebeadle.com/files/2025cscw.pdf
SoK: A Privacy Framework for Security Research Using Social Media Data
Published in 2025 IEEE Symposium on Security and Privacy (SP), 2025
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. However, social media data often contains personal and sensitive information. While prior work discusses the ethics of research using social media data, focusing on ethics broadly can be insufficient to unravel granular privacy risks and possible mitigations. Focusing on research papers that use social media data to study security-related topics, we systematically analyze 601 papers across 16 years, covering a wide array of academic disciplines. Our findings highlight a lack of transparency in reporting — only 35% of papers mention any considerations of data anonymization, availability, and storage. Applying Solove’s taxonomy to classify the identified privacy risks in the social media setting, we observe that Solove’s taxonomy was prescient in capturing aggregation risk, but the volume, timeliness, and micro details of data, combined with modern data science, yield risks beyond what was considered 20 years ago. We present the implications of our findings for various stakeholders: researchers, ethics boards, and publishing venues. While there are already signs of improvement, we posit that some small behavioral changes from the academic community may make a big difference in user privacy.
Recommended citation: K. Beadle et al., "SoK: A Privacy Framework for Security Research Using Social Media Data," in 2025 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2025, pp. 1178-1196, doi: 10.1109/SP61157.2025.00145. http://kylebeadle.com/files/2025sp.pdf
talks
Peer Surveillance in Online Communities
Published:
teaching
COMP0054 Computer Security I
Graduate Course, UCL, Department of Computer Science, 2023
Teaching Assistant
COMP0005 Algorithms
Undergraduate Course, UCL, Department of Computer Science, 2024