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Automating Essential Work

News Media and Technology Hype in a Critical Sector 2014–2024

Bibliographic Data

ID22010757
AuthorsSamantha Shorey (0000-0002-6769-8680, University of Pittsburgh, corresponding author), Estefanía Rodríguez (0000-0003-3892-5247, The University of Texas at Austin)
Year2026
Volume14
Issue2
Pages304-322
Publication date2026-02-07
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDigital Journalism (JOURNAL)
Journal identifiersISSN: 2167-0811 • E-ISSN: 2167-082X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21670811.2025.2513411
OpenAlexW4411160537
LanguageEN
Citations received3
References cited28

The Covid-19 pandemic brought renewed attention to how Artificial Intelligence might be used to address the everyday challenges of low-wage work now deemed “essential.” In this paper, we perform an exhaustive analysis of local and national U.S. news reports about automation, robotics, and AI in the recycling sorting industry over the last 10 years (2014–2024). Workers’ efforts to sustain operations of this critical sector during the pandemic occurred within a context of media hype that presented AI as a solution to the public health crisis—in addition to the problems of contamination and labor costs that had concerned the industry for years. Our analysis reveals that the discourses around automation and AI are qualitatively different: moving from claims about efficiency to claims about accuracy with a diminished discussion of technology’s fallibility. Technology company executives only appear as sources when AI is introduced to the industry. Throughout our dataset, the perspective of workers was almost entirely absent, and no recycling sorters were quoted as sources. In response, we advocate for the practice of solidarity journalism in new stories about workplace automation and call for workers inclusion in public dialogues about the impact and future of AI

Data science · Media studies · News media · Political science · Public relations · Sociology · Computer Science · Engineering · Ethics and Social Impacts of AI · Mechanical Engineering

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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