Theorising notions of searching, (re)sources and evaluation in the light of generative AI
Sundin, Olof LU
(2025)
In Information Research
30(CoLIS).
p.291-302
- Abstract
- Introduction. The introduction of publicly available large language models (LLMs) since 2022 has significantly challenged traditional library and information studies (LIS) core concepts. This paper argues that LIS needs to rethink aspects of its conceptual framework to address the challenges posed by the proliferation of AI-generated content and how this content is produced.
Analysis. The study employs a theoretical analysis to critically examine the LIS concepts of search, sources and evaluation in the light of an increasingly AI-infused information infrastructure.
Results. The main argument of the paper is that due to changes in the information infrastructure, sources are becoming increasingly invisible for people when... (More) - Introduction. The introduction of publicly available large language models (LLMs) since 2022 has significantly challenged traditional library and information studies (LIS) core concepts. This paper argues that LIS needs to rethink aspects of its conceptual framework to address the challenges posed by the proliferation of AI-generated content and how this content is produced.
Analysis. The study employs a theoretical analysis to critically examine the LIS concepts of search, sources and evaluation in the light of an increasingly AI-infused information infrastructure.
Results. The main argument of the paper is that due to changes in the information infrastructure, sources are becoming increasingly invisible for people when they look for information. This has profound implications for how searching for and evaluation of information can be conceptualised.
Conclusion. The paper is concluded by offering conceptual insights on how to theoretically navigate the rapidly evolving information landscape. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b25ea642-89a4-41fa-800b-0b84f1e31a4b
- author
- Sundin, Olof
LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- generative ai, sources, searching, evidence, History and philosophy of information, Information behaviour and practices, Information literacy and related literacies, sociomateriality, searching, sources, evaluating, generative AI
- in
- Information Research
- volume
- 30
- issue
- CoLIS
- pages
- 12 pages
- publisher
- Thomas Daniel Wilson
- ISSN
- 1368-1613
- DOI
- 10.47989/ir30CoLIS52258
- project
- Researching the transforming landscape of information seeking. AI technologies and learning in Swedish schools
- language
- English
- LU publication?
- no
- id
- b25ea642-89a4-41fa-800b-0b84f1e31a4b
- date added to LUP
- 2025-05-21 09:14:47
- date last changed
- 2025-05-22 11:06:45
@article{b25ea642-89a4-41fa-800b-0b84f1e31a4b,
abstract = {{Introduction. The introduction of publicly available large language models (LLMs) since 2022 has significantly challenged traditional library and information studies (LIS) core concepts. This paper argues that LIS needs to rethink aspects of its conceptual framework to address the challenges posed by the proliferation of AI-generated content and how this content is produced.<br/><br/>Analysis. The study employs a theoretical analysis to critically examine the LIS concepts of search, sources and evaluation in the light of an increasingly AI-infused information infrastructure.<br/><br/>Results. The main argument of the paper is that due to changes in the information infrastructure, sources are becoming increasingly invisible for people when they look for information. This has profound implications for how searching for and evaluation of information can be conceptualised.<br/><br/>Conclusion. The paper is concluded by offering conceptual insights on how to theoretically navigate the rapidly evolving information landscape.}},
author = {{Sundin, Olof}},
issn = {{1368-1613}},
keywords = {{generative ai; sources; searching; evidence; History and philosophy of information; Information behaviour and practices; Information literacy and related literacies; sociomateriality; searching; sources; evaluating; generative AI}},
language = {{eng}},
number = {{CoLIS}},
pages = {{291--302}},
publisher = {{Thomas Daniel Wilson}},
series = {{Information Research}},
title = {{Theorising notions of searching, (re)sources and evaluation in the light of generative AI}},
url = {{http://dx.doi.org/10.47989/ir30CoLIS52258}},
doi = {{10.47989/ir30CoLIS52258}},
volume = {{30}},
year = {{2025}},
}