Algorithmic-Authors in Academia: Blurring the Boundaries of Human and Machine Knowledge Production
Saved in:
| Title: | Algorithmic-Authors in Academia: Blurring the Boundaries of Human and Machine Knowledge Production |
|---|---|
| Language: | English |
| Authors: | Maria Gretzky (ORCID |
| Source: | Learning, Media and Technology. 2025 50(3):338-351. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Authors, Influence of Technology, Scholarship, Writing (Composition), College Students, College Faculty, Social Behavior, Behavior Standards, Computer Use |
| DOI: | 10.1080/17439884.2025.2452196 |
| ISSN: | 1743-9884 1743-9892 |
| Abstract: | The emergence of large language models (LLMs) that generate human-like texts has raised questions about the boundaries between human-authored and machine-generated outputs. This article examines how LLMs are re-shaping academic knowledge production through the emergence of the Algorithmic-Author. Drawing on Foucault's Author-Function and the Social Construction of Technology approach, we analyze how academic groups negotiate LLMs' roles in scholarly work. Based on 25 semi-structured interviews with academics across career stages and disciplines, we identify two dominant technological frames: the Library of Babel, portraying LLMs as universal knowledge repositories leading to tecnomorphic views of human thinking, and the Superposition, presenting LLMs as dynamic, interactive agents described in anthropomorphic terms. These frames manifest differently across academia, shaping both formal writing conventions and informal social norms. Our findings suggest the Algorithmic-Author functions not merely as a writing tool but as a mechanism standardizing academic practices while creating new positions within knowledge production. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1482239 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1482239 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Algorithmic-Authors in Academia: Blurring the Boundaries of Human and Machine Knowledge Production – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maria+Gretzky%22">Maria Gretzky</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5615-826X">0000-0001-5615-826X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Gideon+Dishon%22">Gideon Dishon</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1747-403X">0000-0002-1747-403X</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Learning%2C+Media+and+Technology%22"><i>Learning, Media and Technology</i></searchLink>. 2025 50(3):338-351. – Name: Avail Label: Availability Group: Avail Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Authors%22">Authors</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarship%22">Scholarship</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+%28Composition%29%22">Writing (Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Behavior%22">Social Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+Standards%22">Behavior Standards</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Use%22">Computer Use</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1080/17439884.2025.2452196 – Name: ISSN Label: ISSN Group: ISSN Data: 1743-9884<br />1743-9892 – Name: Abstract Label: Abstract Group: Ab Data: The emergence of large language models (LLMs) that generate human-like texts has raised questions about the boundaries between human-authored and machine-generated outputs. This article examines how LLMs are re-shaping academic knowledge production through the emergence of the Algorithmic-Author. Drawing on Foucault's Author-Function and the Social Construction of Technology approach, we analyze how academic groups negotiate LLMs' roles in scholarly work. Based on 25 semi-structured interviews with academics across career stages and disciplines, we identify two dominant technological frames: the Library of Babel, portraying LLMs as universal knowledge repositories leading to tecnomorphic views of human thinking, and the Superposition, presenting LLMs as dynamic, interactive agents described in anthropomorphic terms. These frames manifest differently across academia, shaping both formal writing conventions and informal social norms. Our findings suggest the Algorithmic-Author functions not merely as a writing tool but as a mechanism standardizing academic practices while creating new positions within knowledge production. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1482239 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1482239 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17439884.2025.2452196 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 338 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Authors Type: general – SubjectFull: Influence of Technology Type: general – SubjectFull: Scholarship Type: general – SubjectFull: Writing (Composition) Type: general – SubjectFull: College Students Type: general – SubjectFull: College Faculty Type: general – SubjectFull: Social Behavior Type: general – SubjectFull: Behavior Standards Type: general – SubjectFull: Computer Use Type: general Titles: – TitleFull: Algorithmic-Authors in Academia: Blurring the Boundaries of Human and Machine Knowledge Production Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maria Gretzky – PersonEntity: Name: NameFull: Gideon Dishon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1743-9884 – Type: issn-electronic Value: 1743-9892 Numbering: – Type: volume Value: 50 – Type: issue Value: 3 Titles: – TitleFull: Learning, Media and Technology Type: main |
| ResultId | 1 |