Work

User acceptance on content optimization algorithms: predicting filter bubbles in conversational AI services

Year: 2022

Type: article

Study design: Observational Study

Source: Universal Access in the Information Society

DOI: 10.1007/s10209-022-00913-8

Authors: Hosoo Cho, Daeho Lee, Jae-Gil Lee

Institutions: Seoul National University, Sungkyunkwan University, Hallym University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

Funder: Ministry of Education

Award: G5076700441

OpenAlex ID: W4294597814

FWCI: 4.635

Cites: 69

Cited by: 21

Related to: 10