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Abigail Marsh

dblp:156/2542 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0004-7573-0339ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 1 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › interpersonal communication
self-disclosure
0.812024
Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative Fandom · CHI 2024
Collaborative and social computing
social media
0.812024
Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative Fandom · CHI 2024
Privacy and data protection › privacy analysis › privacy models
group privacy
0.812024
Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative Fandom · CHI 2024

Methods — techniques the papers use, named apart from their topics

web scraping · 1.5keyword search · 1.5hand-coding · 1.5
YearPublicationVenuePosition
2026 Precarious But Active: A Look At Privacy Behaviors in Chinese Transformative Fandom on a Censored and Surveilled Internet
abstract
Chinese transformative fandom has had to adapt to increasing censorship and surveillance on the Chinese internet in recent years, working around censorship on domestic platforms in order to continue participating in fandom. To investigate this phenomenon from a privacy perspective, we interviewed 10 overseas members of Chinese transformative fandom about their experiences with privacy and censorship, and we supplemented this with 153 social media comments from Weibo and Xiaohongshu (RedNote) on the same topic. We found that our data perceived the current state of Chinese online fandom as, at best, frustrating, and at worst unsafe. Fans could be discouraged as the platform prevented them from sharing their fanworks while within-fandom disagreements led some fans to silence or report each other. The censored state of Chinese platforms, however, could also make it difficult for the community to learn how to move to a blocked overseas platform. They responded to risks from both the state and their peers by leveraging precarious techniques of obscurity and anonymity, seeking strategies that would still allow engagement with fandom. We identify three key takeaways for privacy scholarship: the harms of censorship were felt at a community level, which created a tension with expected privacy solutions; faced with inevitable surveillance, fans nonetheless actively modeled threats as a community to inform their behaviors; and the sociotechnical environment of fans influenced how blocking and reporting other fans seemed necessary for curation, contributing to why they might expose each other to state-level harm.
Kelly Wang, Ada Lerner, Abigail Marsh, Tianshi Li 0001
Proc. Priv. Enhancing Technol.4
2024 Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative Fandom
abstract
The privacy practices of transformative fandom are of interest to HCI researchers both for the community’s high proportion of queer members and for the community’s sophisticated privacy norms and behaviors. We investigated fans’ use of single-serving websites on Carrd.co (“Carrds”) as personal profiles linked from Twitter accounts. We scraped Twitter to gather 5252 Carrds from fans in a variety of fandoms, which we analyzed using a combination of keyword searches and hand-coding. Fans’ Carrds frequently disclose queer identity, and articulate a complex system of community values and boundary management. Inspired by how these findings aren’t well-explained by individual theories of privacy, we articulate first steps towards a theory of collective privacy based in a communal process of values construction, trust building, and personal disclosure that we believe helps us to understand the sophisticated nature of fans’ observed behaviors.
Kelly Wang, Dan Bially Levy, Kien T. Nguyen, Ada Lerner, Abigail Marsh
CHI5
2018 Turtles, Locks, and Bathrooms: Understanding Mental Models of Privacy Through Illustration
abstract
Abstract Are the many formal definitions and frameworks of privacy consistent with a layperson’s understanding of privacy? We explored this question and identified mental models and metaphors of privacy, conceptual tools that can be used to improve privacy tools, communication, and design for everyday users. Our investigation focused on a qualitative analysis of 366 drawings of privacy from laypeople, privacy experts, children, and adults. Illustrators all responded to the prompt “What does privacy mean to you?” We coded each image for content, identifying themes from established privacy frameworks and defining the visual and conceptual metaphors illustrators used to model privacy. We found that many non-expert drawings illustrated a strong divide between public and private physical spaces, while experts were more likely to draw nuanced data privacy spaces. Young children’s drawings focused on bedrooms, bathrooms, or cheating on schoolwork, and seldom addressed data privacy. The metaphors, themes, and symbols identified by these findings can be used for improving privacy communication, education, and design by inspiring and informing visual and conceptual strategies for reaching laypeople.
Maggie Oates, Yama Ahmadullah, Abigail Marsh, Chelse Swoopes, Shikun Zhang, Rebecca Balebako, Lorrie Faith Cranor
Proc. Priv. Enhancing Technol.3
2014 Parents' and Teens' Perspectives on Privacy In a Technology-Filled World
Lorrie Faith Cranor, Adam L. Durity, Abigail Marsh, Blase Ur
SOUPS3