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In Detroit, the largest Black-majority city in the United States, municipal authorities have deployed an array of surveillance technologies with the promise of containing crime and improving community safety. This article draws from a cross-sectional survey of over two thousand Detroit residents and multi-year community-based fieldwork in Detroit’s Eastside to examine local perceptions of policing surveillance technologies. Our survey reveals that respondents, notably those in more vulnerable positions, report higher perceived safety levels with policing surveillance cameras in their neighborhoods. However, when triangulating these results with insights from our fieldwork, we argue that these survey findings should not be taken as public support for surveillance. Alongside this seeming buy-in is a widely shared “better than nothing” imaginary among residents from impacted communities. “Better than nothing,” for the residents, is a pragmatic compromise and maneuver between being aware of the inherent flaws of surveillance technologies and settling for any available resource or hope. This notion of “better than nothing” unveils residents’ prolonged wait for digital justice and institutional accountability, which we show is where racialized infrastructural harm and exploitation are enacted along the temporal dimension. Our findings offer practical insights for counter-surveillance advocacy efforts. 

Social media systems are as varied as they are pervasive. They have been almost universally adopted for a broad range of purposes including work, entertainment, activism, and decision making. As a result, they have also diversified, with many distinct designs differing in content type, organization, delivery mechanism, access control, and many other dimensions. In this work, we aim to characterize and then distill a concise design space of social media systems that can help us understand similarities and differences, recognize potential consequences of design choice, and identify spaces for innovation. Our model, which we call Form-From, characterizes social media based on (1) the form of the content, either threaded or flat, and (2) from where or from whom one might receive content, ranging from spaces to networks to the commons. We derive Form-From inductively from a larger set of 62 dimensions organized into 10 categories. To demonstrate the utility of our model, we trace the history of social media systems as they traverse the Form-From space over time, and we identify common design patterns within cells of the model.

 

Noticing differently commits to stepping out of familiar reference frameworks while attending to oft-neglected actors, relations, and ways of knowing for design. Photovoice is an arts- and community-based participatory approach allowing individuals to communicate their lives and stories about pressing community concerns through photography. This paper bridges photovoice and the commitment to noticing in HCI and design through a photovoice project with Detroit residents on safety and surveillance. The photovoice process—alongside the production, reflection, and dissemination of photographs—makes residents’ everyday situations legible and sensible, allowing both community members and researchers to orient to and engage with multiple viewpoints, sensibilities, and temporal trajectories. This process confronts the invisibility of both the sociotechnical infrastructures (in our case, surveillance infrastructures) and minoritized communities’ relational ontologies. By advocating participatory noticing in design research, we show the opportunities for adopting arts- and community-based participatory approaches in decentering dominant ways of knowing and seeing, while at the same time fostering community capacity and relations for future potentialities. 

Safety has been used to justify the expansion of today’s large-scale surveillance infrastructures in American cities. Our work offers empirical and theoretical groundings on why and how the safety-surveillance conflation that reproduces harm toward communities of color must be denaturalized. In a photovoice study conducted in collaboration with a Detroit community organization and a university team, we invited 11 Black mid-aged and senior Detroiters to use photography to capture their lived experiences of navigating personal and community safety. Their photographic narratives unveil acts of “everyday noticing” in negotiating and maintaining their intricate and interdependent relations with human, non-human animals, plants, spaces, and material things, through which a multiplicity of meaning and senses of safety are produced and achieved. Everyday noticing, as simultaneously a survival skill and a more-than-human care act, is situated in residents’ lived materialities, while also serving as a site for critiquing the reductive and exclusionary vision embedded in large-scale surveillance infrastructures. By proposing an epistemological shift from surveillance-as-safety to safety-through-noticing, we invite future HCI work to attend to the fluid and relational forms of safety that emerge from local entanglement and sensibilities. 

Today, teachers have been increasingly relying on data-driven technologies to track and monitor student behavior data for classroom management. Drawing insights from interviews with 20 K--8 teachers, in this paper we unpack how teachers enacted both care and control through their data work in collecting, interpreting, and using student behavior data. In this process, teachers found themselves subject to surveilling gazes from parents, school administrators, and students. As a result, teachers had to manipulate the student behavior data to navigate the balance between presenting a professional image to surveillants and enacting care/control that they deemed appropriate. In this paper we locate two nuanced forms of teachers' data work that have been under-studied in CSCW: (1) data work as recontextualizing meanings and (2) data work as resisting surveillance. We discuss teachers' struggle over (in)visibility and their negotiation of autonomy and subjectivity in these two forms of data work. We highlight the importance of foregrounding and making space for informal data workers' (in our case, teachers') resistance and negotiation of autonomy in light of datafication.