User perceptions of algorithmic decisions in the personalized AI system: Perceptual evaluation of fairness, accountability, transparency, and explainability

D Shin - Journal of Broadcasting & Electronic Media, 2020 - Taylor & Francis
With the growing presence of algorithms and their far-reaching effects, artificial intelligence
(AI) will be mainstream trends any time soon. Despite this surging popularity, little is known …

Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm

D Shin - Journal of Information Science, 2023 - journals.sagepub.com
The recent proliferation of artificial intelligence (AI) gives rise to questions on how users
interact with AI services and how algorithms embody the values of users. Despite the …

The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

D Shin - International Journal of Human-Computer Studies, 2021 - Elsevier
Artificial intelligence and algorithmic decision-making processes are increasingly criticized
for their black-box nature. Explainable AI approaches to trace human-interpretable decision …

Why am I seeing this? Deconstructing algorithm literacy through the lens of users

D Shin, A Rasul, A Fotiadis - Internet Research, 2022 - emerald.com
Purpose As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI)
systems exert a growing influence on human behavior in the digital milieu. Despite its …

Role of fairness, accountability, and transparency in algorithmic affordance

D Shin, YJ Park - Computers in Human Behavior, 2019 - Elsevier
As algorithm-based services increase, social topics such as fairness, transparency, and
accountability (FAT) must be addressed. This study conceptualizes such issues and …

How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance

D Shin - Computers in human behavior, 2020 - Elsevier
Although algorithms have been widely used to deliver useful applications and services, it is
unclear how users actually experience and interact with algorithm-driven services. This …

Expanding the role of trust in the experience of algorithmic journalism: User sensemaking of algorithmic heuristics in Korean users

D Shin - Journalism Practice, 2022 - Taylor & Francis
Algorithmic journalism (AJ) has become widely popular, emerging in mainstream trends.
Despite this surging popularity, little is known about the ways through which readers …

Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms?

D Shin, KF Kee, EY Shin - International Journal of Information Management, 2022 - Elsevier
Understanding how algorithms shape users' online experiences is a prerequisite to
developing an effective algorithm design. Due to the rapid algorithmification of platforms, it is …

[HTML][HTML] Is this recommended by an algorithm? The development and validation of the algorithmic media content awareness scale (AMCA-scale)

B Zarouali, SC Boerman, CH de Vreese - Telematics and Informatics, 2021 - Elsevier
Online media platforms are increasingly using algorithms to select and present relevant
information to their audiences. This highlights the importance of exploring whether people …

Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation

MD Molina, SS Sundar - New Media & Society, 2022 - journals.sagepub.com
When evaluating automated systems, some users apply the “positive machine heuristic”(ie
machines are more accurate and precise than humans), whereas others apply the “negative …