How do people judge the credibility of algorithmic sources?

Donghee Shin, Zayed University

Document Type

Article

Source of Publication

AI and Society

Publication Date

1-1-2021

Abstract

The exponential growth of algorithms has made establishing a trusted relationship between human and artificial intelligence increasingly important. Algorithm systems such as chatbots can play an important role in assessing a user’s credibility on algorithms. Unless users believe the chatbot’s information is credible, they are not likely to be willing to act on the recommendation. This study examines how literacy and user trust influence perceptions of chatbot information credibility. Results confirm that algorithmic literacy and users’ trust play a pivotal role in how users form perceptions of the credibility of chatbot messages and recommendations. Insights on how user trust is related to credibility provide a useful perspective on the conceptualization of algorithmic credibility. Algorithmic information processing that has been identified provides better foundations for algorithm design and development and a stronger basis for the design of sense-making chatbot journalism.

ISSN

0951-5666

Publisher

Springer Science and Business Media LLC

Disciplines

Computer Sciences | Social and Behavioral Sciences

Keywords

Accountability, Algorithmic credibility, Algorithmic literacy, Chatbot journalism, Explainability, Fairness, Information seeking, Transparency, Trust

Scopus ID

85102388385

Indexed in Scopus

yes

Open Access

no

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