A Normative Framework for Assessing the Information Curation Algorithms of the Internet.
It is critical to understand how algorithms structure the information people see and how those algorithms support or undermine society's core values. We offer a normative framework for the assessment of the information curation algorithms that determine much of what people see on the internet. The f...
| Publicado en: | Perspectives on Psychological Science Vol. 19; no. 5; pp. 749 - 758 |
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| Autores principales: | , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179766028&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179766028 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17456916 1WQQ jtl: Perspectives on Psychological Science issn: 17456916 maglogo: N pubinfo: dt: Sep2024 vid: 19 iid: 5 pid: 20732 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 179766028 179766028 179766028 10.1177/17456916231186779 179766028 ppf: 749 ppct: 9 formats: tig: atl: A Normative Framework for Assessing the Information Curation Algorithms of the Internet. aug: au: Lazer, David Swire-Thompson, Briony Wilson, Christo affil: Khoury College of Computer Sciences, Northeastern University sug: subj: Internet Searching Evaluation Information Retrieval Information Seeking Behavior Consumer Attitudes Algorithms Evaluation Conceptual Framework Validity Self Regulation Information Resources Data Breach Politics Discrimination ab: It is critical to understand how algorithms structure the information people see and how those algorithms support or undermine society's core values. We offer a normative framework for the assessment of the information curation algorithms that determine much of what people see on the internet. The framework presents two levels of assessment: one for individual-level effects and another for systemic effects. With regard to individual-level effects we discuss whether (a) the information is aligned with the user's interests, (b) the information is accurate, and (c) the information is so appealing that it is difficult for a person's self-regulatory resources to ignore ("agency hacking"). At the systemic level we discuss whether (a) there are adverse civic-level effects on a system-level variable, such as political polarization; (b) there are negative distributional or discriminatory effects; and (c) there are anticompetitive effects, with the information providing an advantage to the platform. The objective of this framework is both to inform the direction of future scholarship as well as to offer tools for intervention for policymakers. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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