Search and Society: Reimagining Information Access for Radical Futures
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Abstract (arXiv)
Information retrieval (IR) research must understand and contend with the social implications of the technology it produces. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as human-computer interaction, information sciences, media studies, design, science and technology studies, social sciences, humanities, democratic theory, and critical theory, as well as legal and policy experts, civil rights and social justice activists, and artists, among others. In this perspective paper, we motivate why the community must consider this radical shift in how we do research and what we work on, and sketch a path forward towards this transformation.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Mar 2024.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024Sociotechnical Implications of Generative Artificial Intelligence for Information Accesscited by 6
- 2025A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AIcited by 2
- 2025We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Latercited by 1
- 2026Information Access of the Oppressed: Freirean Design for Emancipatory Information Accesscited by 0
- 2026Information Access of the Oppressed: Freirean Design for Emancipatory Information Access14 Jan 2026
- 2025A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI6 Oct 2025
- 2025We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later11 Sep 2025
- 2024Sociotechnical Implications of Generative Artificial Intelligence for Information Access19 May 2024