VLDB 2026 Research / reviewers in the wild / expert
Samantha-Kaye Johnston
dblp:374/9135
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2026
0009-0008-9206-4541ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Attitudes, Imagined Roles, and Governance Boundaries for AI in Decentralized Social MediaabstractDecentralised social media (DSM) platforms such as Mastodon offer community-governed alternatives to corporate social networks but place substantial governance burdens on volunteer operators. As interest grows in applying artificial intelligence (AI) to support this work, little is known about whether DSM operators want AI, what roles they consider appropriate, and what governance boundaries they require. We conducted semi-structured interviews with 20 operators across Mastodon, Pixelfed, PeerTube, Lemmy, Pleroma, and Funkwhale, using generative feature probes and speculative scenarios to explore their perceptions of AI. Operators rejected AI as an autonomous actor, instead envisioning it as governance infrastructure that provides contextual intelligence, supports cross-instance coordination, and sustains community and moderator well-being. They also articulated strict boundaries rooted in DSM values, including human accountability, reversibility, transparency, community-centred configuration, and strong data-governance constraints. We contribute empirical insights and design implications for AI compatible with decentralised, federated social media. Zhilin Zhang 0004, Jun Zhao 0003, Ge Wang 0004, Sruthi Viswanathan, Tala Ross, Samantha-Kaye Johnston, Hayoun Noh, Max Van Kleek, Nigel Shadbolt |
CHI | 6 |
| 2025 | Fostering children's dispositional autonomy and AI understanding through co-designing AI systems: A learning science perspective
Yumeng Zhu, Samantha-Kaye Johnston, Caifeng Zhu, Yan Li 0086 |
Int. J. Hum. Comput. Stud. | 2 |
| 2024 | CHAITok: A Proof-of-Concept System Supporting Children's Sense of Data Autonomy on Social MediaabstractSocial media has become a primary source of entertainment and education for children globally. While much attention has been given to children’s online well-being, a pressing concern often goes unnoticed: the pervasive data harvesting underlying social media and its manipulative impact on undermining children’s autonomy. In this paper, we present CHAITok, an Android mobile application designed to enhance children’s sense of autonomy over their data on social media. Through 27 user study sessions with 109 children aged 10–13, we offer insights into the current lack of data autonomy among children regarding their online information, and how we can foster children’s sense of data autonomy through a socio-technical journey. Our findings inspire design recommendations to respect children’s values, support children’s evolving autonomy, and design for children’s digital rights. We emphasize data autonomy as a fundamental right for children, call for further research, design innovation, and policy changes on this critical issue. Ge Wang 0004, Jun Zhao 0003, Samantha-Kaye Johnston, Zhilin Zhang 0004, Max Van Kleek, Nigel Shadbolt |
CHI | 3 |
| 2024 | Trouble in Paradise? Understanding Mastodon Admin's Motivations, Experiences, and Challenges Running Decentralised Social MediaabstractDecentralised social media platforms are increasingly being recognised as viable alternatives to their centralised counterparts. Among these, Mastodon stands out as a popular alternative, offering a citizen-powered option distinct from larger and centralised platforms like Twitter/X. However, the future path of Mastodon remains uncertain, particularly in terms of its challenges and the long-term viability of a more citizen-powered internet. In this paper, following a pre-study survey, we conducted semi-structured interviews with 16 Mastodon instance administrators, including those who host instances to support marginalised and stigmatised communities, to understand their motivations and lived experiences of running decentralised social media. Our research indicates that while decentralised social media offers significant potential in supporting the safety, identity and privacy needs of marginalised and stigmatised communities, they also face considerable challenges in content moderation, community building and governance. We emphasise the importance of considering the community's values and diversity when designing future support mechanisms. Zhilin Zhang 0004, Jun Zhao 0003, Ge Wang 0004, Samantha-Kaye Johnston, George Chalhoub, Tala Ross, Claudine Tinsman, Rui Zhao 0009, Max Van Kleek, Nigel Shadbolt |
Proc. ACM Hum. Comput. Interact. | 4 |