VLDB 2026 Research / reviewers in the wild / expert
Samuel Mayworm
dblp:377/1651 · also Samuel Reiji Mayworm
· DBLP profile ↗
4ranked-venue papers
1as first author
4since 2021 · last 2025
0009-0008-8394-7991ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | "That Moment of Curiosity": Augmented Reality Face Filters for Transgender Identity Exploration, Gender Affirmation, and Radical PossibilityabstractPeer Reviewed Kat Brewster, Aloe DeGuia, Samuel Mayworm, F. Ria Khan, Mel Monier, Denny L. Starks, Oliver L. Haimson |
CHI | 3 |
| 2025 | Cataloging Augmented, Ambivalent Transgender Futures: Designing Inclusive AR Technologies for Trans Communities Through Speculative, Participatory Zine-MakingabstractPeer Reviewed F. Ria Khan, Kat Brewster, Aloe DeGuia, Denny L. Starks, Malaya Manacop, Samuel Mayworm, Tawanna Dillahunt, Oliver L. Haimson |
CHI | 6 |
| 2024 | "What are you doing, TikTok?" : How Marginalized Social Media Users Perceive, Theorize, and "Prove" ShadowbanningabstractShadowbanning is a unique content moderation strategy receiving recent media attention for the ways it impacts marginalized social media users and communities. Social media companies often deny this content moderation practice despite user experiences online. In this paper, we use qualitative surveys and interviews to understand how marginalized social media users make sense of shadowbanning, develop folk theories about shadowbanning, and attempt to prove its occurrence. We find that marginalized social media users collaboratively develop and test algorithmic folk theories to make sense of their unclear experiences with shadowbanning. Participants reported direct consequences of shadowbanning, including frustration, decreased engagement, the inability to post specific content, and potential financial implications. They reported holding negative perceptions of platforms where they experienced shadowbanning, sometimes attributing their shadowbans to platforms' deliberate suppression of marginalized users' content. Some marginalized social media users acted on their theories by adapting their social media behavior to avoid potential shadowbans. We contributecollaborative algorithm investigation : a new concept describing social media users' strategies of collaboratively developing and testing algorithmic folk theories. Finally, we present design and policy recommendations for addressing shadowbanning and its potential harms. Daniel Delmonaco, Samuel Mayworm, Hibby Thach, Joshua Guberman, Aurelia Augusta, Oliver L. Haimson |
Proc. ACM Hum. Comput. Interact. | 2 |
| 2024 | The Online Identity Help Center: Designing and Developing a Content Moderation Policy Resource for Marginalized Social Media UsersabstractMarginalized social media users struggle to navigate inequitable content moderation they experience online. We developed the Online Identity Help Center (OIHC) to confront this challenge by providing information on social media users' rights, summarizing platforms' policies, and providing instructions to appeal moderation decisions. We discuss our findings from interviews (n = 24) and surveys (n = 75) which informed the OIHC's design, along with interviews about and usability tests of the site (n = 12). We found that the OIHC's resources made it easier for participants to understand platforms' policies and access appeal resources. Participants expressed increased willingness to read platforms' policies after reading the OIHC's summarized versions, but expressed mistrust of platforms after reading them. We discuss the study's implications, such as the benefits of providing summarized policies to encourage digital literacy, and how doing so may enable users to express skepticism of platforms' policies after reading them. Samuel Mayworm, Shannon Li, Hibby Thach, Daniel Delmonaco, Christian Paneda, Andrea Wegner, Oliver L. Haimson |
Proc. ACM Hum. Comput. Interact. | 1 |