Researching algorithm awareness: methodological approaches to investigate how people perceive, know, and interact with algorithms

Cristiano Felaco

Mathematical Population Studies, 2024, vol. 31, issue 4, 267-288

Abstract: The ubiquity and pervasiveness of algorithms across various societal sectors entail risks and opportunities for individuals and social groups prompting critical reflection on how people perceive, understand, and interact with algorithms. This article conceptually addresses algorithm awareness, and methodologically provides a critical appraisal of research approaches for its study.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/08898480.2024.2389779 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:mpopst:v:31:y:2024:i:4:p:267-288

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GMPS20

DOI: 10.1080/08898480.2024.2389779

Access Statistics for this article

Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino

More articles in Mathematical Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().