Chapter
Routledge
2026-06-22
Authors: Livia Garofalo, Suisui Wang
Subjects: health care,domestic labor,labor,discrimination,teletherapy,platform economy
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Summary:
Chapter in Gender and Intersectional Inequalities in the Platform Economy, edited By Paula Rodríguez Modroño, Annarosa Pesole, Ivana Pais: "This book examines different key aspects around new forms of work and gender and intersectional inequalities in platforms, how the platform economy intervenes, changes and reconfigures the organization of work, and the challenges faced by policymakers and workers’ organizations regarding formalization, professionalization, remuneration, quality of work or social protection of platform work.

Including case studies from different countries from the Global North and the Global South, it contributes to a better understanding of how digital platforms are inserting themselves into neoliberal transformations in labour markets, taking advantage of digitization, the commodification of reproductive labour and migrant labour regimes to quickly access a precaritized female migrant workforce with low bargaining power."

Blog post
Data & Society Points
2026-06-10
Authors: Odia Kane
Subjects: artificial intelligence,privacy,health care,research ethics,surveillance,informed consent,right to be forgotten
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Blog post
Data & Society Points
2026-06-03
Authors: Linda Huber
Subjects: digital infrastructure,digital health,health care,BIPOC,mutual aid
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Summary:
Part of our series “Reimagining the Future of Digital Health.”

Blog post
Data & Society Points
2026-05-27
Authors: Hawra Rabaan
Subjects: artificial intelligence,digital health,health care,intimate partner violence
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Summary:
Flattening complex experiences into datasets can compound harm and undermine healing

Academic article
arXiv
2026-05-22
Authors: Briana Vecchione, Meryl Ye, Livia Garofalo, Ranjit Singh
Subjects: artificial intelligence,generative artificial intelligence,digital health,large language model,health care,ethics of artificial intelligence,mental health
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Summary:
Abstract: "General-purpose LLMs are increasingly functioning as mental health infrastructure due to gaps in care left by provider shortages, inadequate insurance coverage, social isolation, and stigma around formal help-seeking. This shift poses a distinct problem for AI ethics: systems neither designed nor governed as care technologies are being used as such, while their dominant design incentives optimize for engagement rather than user well-being. We present findings from a qualitative, longitudinal study with 18 US-based participants who use general-purpose LLMs for socioemotional support and participated in one or more of our study phases, including initial interviews, a four-week diary study, focus groups, and exit interviews. Participants turned to LLMs because other forms of support were unavailable, unaffordable, socially costly, or inadequate. As they continued to use these systems, design features such as anthropomorphic cues, default validation, persistent responsiveness, and weak disengagement mechanisms shaped their ongoing reliance. Participants described meaningful support alongside dependency, epistemic distortion through one-sided validation, privacy expectations without corresponding legal protection, and continued use despite awareness of these risks. We argue these dynamics reflect a structurally unfair tradeoff: users accept risks because support is otherwise absent, while available systems are optimized to deepen engagement and lack care-based accountability. The paper makes three contributions: it traces the arc through which LLMs become care infrastructure and identifies distinct ethical tensions at each stage, shifts analysis from turn-based exchanges to longitudinal trajectories of use, and argues that accountability belongs at the design and incentive conditions through which these systems become care infrastructure rather than at the output or crisis-response layer."

Blog post
Data & Society Points
2026-05-20
Authors: Mira D. Vale
Subjects: artificial intelligence,generative artificial intelligence,digital health,health care,mental health
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Summary:
Part of our series “Reimagining the Future of Digital Health.”

Article
Data & Society Research Institute
2026-05-06
Authors:
Subjects: artificial intelligence,governance of artificial intelligence,government regulation
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Blog post
Data & Society Points
2026-05-06
Authors: Jesin James
Subjects: artificial intelligence,participatory design,global majority,inclusive design,Indigenous knowledge
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Blog post
Data & Society Points
2026-04-29
Authors: Ranjit Singh
Subjects: artificial intelligence,generative artificial intelligence,education
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Academic article
Social Media + Society
2026-04-16
Authors: Alice E. Marwick
Subjects: social media,history of the Internet
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Summary:
Abstract: This essay reflects on the lived experience of early internet culture to interrogate what has been lost in the transition to today’s platform-dominated online environment. Drawing on autobiographical fieldnotes from the 1990s and early 2000s—Prodigy forums, IRC channels, university bulletin boards, and most centrally LiveJournal—I revisit a period when online communication fostered intimacy, community, and meaningful social ties among strangers and friends alike. LiveJournal, in particular, offered an infrastructure for sustained reciprocal writing, affective labor, and audience management that enabled deep connection and mutual support. Its social dynamics illuminate a mode of computer-mediated communication that was less commercialized, less surveilled, and more oriented toward collective meaning-making than contemporary social media. By contrast, today’s social platforms feel alienating, extractive, and hostile to vulnerability. The political economy of social media, driven by advertising, surveillance, consolidation, and algorithmic optimization, has foreclosed the kinds of small, semi-private, socially coherent spaces that once enabled genuine community formation. Rather than imagining social media as infrastructure requiring stewardship, safety, and care, the industry has prioritized virality, scale, and profit, producing environments shaped by harassment, polarization, and corporate capture. Reflecting on these shifts, the essay argues that the trajectory of social media was never inevitable. Alternative design choices and governance models might have cultivated a richer, more humane digital public sphere. If online community has a future, it will not lie in replicating legacy platforms, but in reimagining communication infrastructures that support vulnerability, reciprocity, and small-scale sociality, the qualities that once made the early internet feel like home.

Policy brief
Data & Society Research Institute
2026-04-08
Authors: Maia Woluchem, Cella Sum
Subjects: artificial intelligence,infrastructure,data center,public policy,Pennsylvania
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Article
The Baffler
2026-04-08
Authors: Brian J. Chen, Jai Vipra
Subjects: artificial intelligence,military technology
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Article
Siegel Family Endowment
2026-04-07
Authors: Alexandra Mateescu
Subjects: artificial intelligence,gig economy,labor,future of work
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Academic article
Political Communication
2026-04-06
Authors: Alice E. Marwick, Elaine Schnabel, Shannon McGregor, Carolyn Schmitt
Subjects: politics,social media,Twitter,disinformation,Facebook
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Summary:
Abstract: "Rather than framing disinformation as false facts which can be countered by true facts, we propose a model of disinformation as narrative by tracing three case studies of successful disinformation across Facebook and Twitter. As stories, disinformation disseminates throughout culture and exists at all levels of media and across genres. Using a dataset of content hosted on URLs shared widely on social media corresponding to U.S. left, right, and nonpartisan examples of disinformation, we examine how successful disinformation circulates as narratives across platforms and genres. We find that all three case studies meet the formal criteria of narrative, and that narrative is intrinsically emotional and moral, providing catharsis for those who share it. Understanding that successful disinformation narratives are enforced by cultural forces, are intrinsically linked to identity, and hold deep emotional resonance for those with whom they resonate has vast implications for responding to and countering them."

Audio
The DSR Network
2026-04-03
Authors: David Rothkopf, Simon Rosenberg, Tara McGowan, Anya Schiffrin, Alice E. Marwick
Subjects: artificial intelligence,government regulation,deepfake,scams
Methodology: podcast

Summary:
"Nobody wants to get scammed, yet everyone has a story about it happening to them or someone they know. In the age of AI, scams are more elaborate and devious than ever. So what can you do about it? Anya Schiffrin and Alice Marwick join David Rothkopf to discuss their recent policy brief about the scourge of AI scams, what governments can do to stem the growing tide of scams, and how individuals can protect themselves."

Report
Data & Society Research Institute
2026-04-01
Authors: Alexandra Mateescu, Aiha Nguyen, Sanjay Pinto
Subjects: artificial intelligence,labor,discrimination,labor rights
Methodology: primer

Summary:
The tech industry’s promise of an AI-driven economic future depends on automating jobs and displacing workers while strengthening its own power. In a speculative race to build an “AI first” economy, corporate spending on AI is climbing to new heights. While policymakers are anticipating a future of mass job displacement and large corporations continue to accumulate power, workers face an ever more hostile political environment. Recent policymaking has centered anti-worker policies, hollowing out standard labor rights and protections and effectively re-writing the social contract for workers. At the same time, private companies are building out AI technologies in ways that further entrench inequalities in the US and globally.

But the bleakness of this vision is not a foregone conclusion. To build a different future requires us to understand and change the structures of power, control, and ideology behind AI adoption in the workplace. In this primer, Alexandra Mateescu, Aiha Nguyen, and Sanjay Pinto offer a framework for the institutional, political, and economic shifts that underpin AI adoption. They argue that the sprint to create the so-called AI-first economy must be understood not as the logical march of progress, but as a series of deliberate economic decisions that risk harming entire populations of workers in ways both old and new. Building a worker-driven future — one in which AI is subject to democratic oversight — will require rigorous, timely analysis of how workers are experiencing AI’s impact to support organizing, bargaining, and policy work.

Blog post
Data & Society Points
2026-04-01
Authors: Meryl Ye
Subjects: artificial intelligence,generative artificial intelligence,infrastructure and economics,mental health,chatbot
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Audio
Mystery AI Hype Theater 3000
2026-03-31
Authors: Emily M. Bender, Alex Hanna, Maia Woluchem, Livia Garofalo
Subjects: artificial intelligence,data center,energy management,Pennsylvania
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Summary:
"We knew that the energy demands of data centers were preventing dirty energy sources from being sunsetted. Now hyperscalers are reaching even further, resurrecting Pennsylvania's infamous Three Mile Island. Emily and Alex are joined by Maia Woluchem and Dr. Livia Garofalo, who have researched the impacts of data center construction across PA."

Audio
Bartholomewtown
2026-03-31
Authors: David Altounian, Timothy H. Henry, Michael Littman, Briana Vecchione
Subjects: artificial intelligence
Methodology: podcast

Summary:
"Following a newportFILM presented screening of The AI Doc: Or How I Became an Apocaloptimist at The Jane Pickens Theater Bill Bartholomew moderates an expert panel on AI's growth and impact on Rhode Island."

Blog post
Data & Society Points
2026-03-25
Authors: Serena Oduro, Briana Vecchione, Meryl Ye, Livia Garofalo
Subjects: artificial intelligence,governance of artificial intelligence,public policy,mental health,chatbot
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