When Algorithmic Transparency Failed
Controversies Over Algorithm-Driven Content Curation in the South Korean Digital Environment
Bibliographic Data
| ID | 3759593 |
|---|---|
| Authors | Kitae Kim (0000-0002-4764-6787, Myongji University, Seoul, Republic of Korea), Shin-Il Moon (Myongji University, Seoul, Republic of Korea, corresponding author) |
| Year | 2021 |
| Volume | 65 |
| Issue | 6 |
| Pages | 847-862 |
| Publication date | 2021-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764221989783 |
| OpenAlex | W3127899619 |
| Language | EN |
| Citations received | 12 |
| References cited | 26 |
Content curation in contemporary digital platforms leverages both algorithmic decision making and human judgment. As much as algorithm has become an integral part of digital configurations, there are growing concerns about the lack of accountability surrounding algorithm-driven digital services. The issue of algorithmic accountability is attributed not only to intrinsic opacity in computational processes but also to the lack of transparency in platform governance. This article discusses two controversial cases surrounding algorithmic transparency in the South Korean digital environment. It first epitomizes the notion of algorithmic transparency as a prerequisite for accountability. Then, it situates the use of algorithms for online content curation in the South Korean digital environment to illustrate how algorithmic transparency is complicated by sociopolitical conditions. Finally, this research offers several suggestions for promoting a more accountable algorithm society
Accountability · Algorithm · Computer security · Data curation · Data science · Digital content · Digital curation · Digital society · Internet privacy · Political science · Transparency (behavior) · World Wide Web · Computer Science · Ethics and Social Impacts of AI · Law · Law, AI, and Intellectual Property · Research Data Management Practices
Examining factors influencing the user’s loyalty on algorithmic news recommendation service
Being bound in a fieldsite
Towards more legitimate algorithms
Effects of Moral Violation on Algorithmic Transparency
The Artificial Recruiter
News Automation and Algorithmic Transparency in the Newsroom
Understanding the dimensions and violation of privacy in human–algorithm interaction
Facets of algorithmic literacy
Antidote for the personalization-privacy paradox
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
Content Creation within the Algorithmic Environment
Workplace AI Regulation and Worker Resistance in Korea
An Introduction to Statistical Learning
Algorithmic Accountability
Accountability in algorithmic decision making
Role of fairness, accountability, and transparency in algorithmic affordance
Algorithmic Transparency in the News Media
Ethical Implications and Accountability of Algorithms
Burst of the Filter Bubble?
Weapons of Math Destruction
The Black Box Society
Transparent to whom? No algorithmic accountability without a critical audience
From Individual to Group Privacy in Big Data Analytics
Seeing without knowing
Automated Media
Critical Questions for Big Data
Toward an Ethics of Algorithms
The ethics of algorithms
| Unique citing works | 12 |
|---|---|
| Citations per year | 3 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |