The Relationships between Data, Power, and Justice in CSCW Research

Chancellor, Stevie; Lee, Min Kyung; Kaye, Jofish; King, Jen; Salehi, Niloufar; Schoenebeck, Sarita; Stowell, Elizabeth

doi:10.1145/3311957.3358609

Cited by 21 publications

(7 citation statements)

References 4 publications

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“…What should our field embrace outside of the IRB review to ensure we are considering the overall ethical nature of our research as well as the potential downstream impacts? As raised at a community panel in 2019 [9], are there research subjects we should not be engaged with because of the potential downstream negative effects? At what point does downstream use of one's data or research move so far afield that it is no longer under the realm of responsibility for the researcher generating it?…”

Section: Discussionmentioning

confidence: 99%

No Humans Here

Pater

Fiesler

Zimmer

2022

Proc. ACM Hum.-Comput. Interact.

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Many research communities routinely conduct activities that fall outside the bounds of traditional human subjects research, yet still frequently rely on the determinations of institutional review boards (IRBs) or similar regulatory bodies to scope ethical decision-making. Presented as a U.S. university-based fictional memo describing a post-hoc IRB review of a research study about social media and public health, this design fiction draws inspiration from current debates and uncertainties in the HCI and social computing communities around issues such as the use of public data, privacy, open science, and unintended consequences, in order to highlight the limitations of regulatory bodies as arbiters of ethics and the importance of forward-thinking ethical considerations from researchers and research communities.

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Section: Discussionmentioning

confidence: 99%

No Humans Here

Pater

Fiesler

Zimmer

2022

Proc. ACM Hum.-Comput. Interact.

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“…In contrast with software engineering research, which has built strong literature on collaboration practices in software development (e.g., [5,11,27]), only recently researchers have started focusing on the practices and challenges within data science teams (e.g., [2,12,50,78]). Translating data science results into business actions requires successful communication between data scientists and other, non-technical stakeholders who typically lack a common ground and a shared vocabulary [50].…”

Section: Collaboration In Data Sciencementioning

confidence: 99%

Eliciting Best Practices for Collaboration with Computational Notebooks

Quaranta,

Calefato,

Lanubile

2022

Preprint

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Despite the widespread adoption of computational notebooks, little is known about best practices for their usage in collaborative contexts. In this paper, we fill this gap by eliciting a catalog of best practices for collaborative data science with computational notebooks. With this aim, we first look for best practices through a multivocal literature review. Then, we conduct interviews with professional data scientists to assess their awareness of these best practices. Finally, we assess the adoption of best practices through the analysis of 1,380 Jupyter notebooks retrieved from the Kaggle platform. Findings reveal that experts are mostly aware of the best practices and tend to adopt them in their daily work. Nonetheless, they do not consistently follow all the recommendations as, depending on specific contexts, some are deemed unfeasible or counterproductive due to the lack of proper tool support. As such, we envision the design of notebook solutions that allow data scientists not to have to prioritize exploration and rapid prototyping over writing code of quality.CCS Concepts: • Human-centered computing → Empirical studies in collaborative and social computing; • Software and its engineering → Collaboration in software development.

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“…We contribute to a body of CSCW scholarship applying understandings of social justice to algorithmic harm. CSCW scholarship has opened the area for discourse around the relationship between social justice and technology [13,30,31,44,67]. Social justice addresses how people experience oppression, and considers how situated context and social issues affect experiences of harm [29].…”

Section: Harms and Justice In Socio-technical Systemsmentioning

confidence: 99%

The Distressing Ads That Persist: Uncovering The Harms of Targeted Weight-Loss Ads Among Users with Histories of Disordered Eating

Gak¹,

Olojo²,

Salehi³

2022

Preprint

Self Cite

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Targeted advertising can harm vulnerable groups when it targets individuals' personal and psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm people with histories of disordered eating. We identify three features of targeted advertising that cause harm: the persistence of personal data that can expose vulnerabilities, over-simplifying algorithmic relevancy models, and design patterns encouraging engagement that can facilitate unhealthy behavior. Through a series of semi-structured interviews with individuals with histories of unhealthy body stigma, dieting, and disordered eating, we found that targeted weight-loss ads reinforced low self-esteem and deepened pre-existing anxieties around food and exercise. At the same time, we observed that targeted individuals demonstrated agency and resistance against distressing ads. Drawing on scholarship in postcolonial environmental studies, we use the concept of slow violence to articulate how online targeted advertising inflicts harms that may not be immediately identifiable. CAUTION: This paper includes media that could be triggering, particularly to people with an eating disorder. Please use caution when reading, printing, or disseminating this paper.CCS Concepts: • Human-centered computing → Empirical studies in collaborative and social computing.

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The Relationships between Data, Power, and Justice in CSCW Research

Cited by 21 publications

References 4 publications

No Humans Here

No Humans Here

Eliciting Best Practices for Collaboration with Computational Notebooks

The Distressing Ads That Persist: Uncovering The Harms of Targeted Weight-Loss Ads Among Users with Histories of Disordered Eating

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