Korean Internet Portal Giant Naver Manipulated Shopping and Video Search Algorithms to Favor In-House Services

The Korean Fair Trade Commission (FTC) imposed a 26.7B KRW on Naver for manipulating shopping and video search algorithms, favoring its own online shopping business to boost its market share.

Risk classification

• Primary risk domain: 6 Socioeconomic & Environmental
• Primary risk subdomain: 6.1 Power centralization and unfair distribution of benefits

Naver used its dominant search portal and manipulated algorithms to concentrate e-commerce market share, disadvantaging competitors and centralizing economic power.

Additional risk subdomains

• 3.1 False or misleading information: The algorithm manipulation misled consumers into believing the search results were fair and objective, presenting biased rankings as neutral.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The manipulation of the search algorithms was a deliberate decision and action taken by Naver's human employees and management post-deployment to favor their own services.

EU AI Act risk tier

• Risk tier: 4 Minimal or No Risk

Minimal or No Risk: The search and recommendation algorithms used for e-commerce and video ranking do not fall under the high-risk or prohibited categories of the EU AI Act, representing applications with minimal systemic risk to safety or fundamental rights.

AI system and alleged parties

• AI system: None named
• AI purpose: Content Search; Content Recommendation
• Behaviour type: Tool
• Alleged developer: Naver
• Alleged deployer: Naver
• Alleged harmed parties: Naver customers

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Substantial. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Substantial, indirect Substantial
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Negligible, indirect Negligible
• Differential treatment: direct Minor, indirect Minor
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Minor, indirect Minor
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Financial

Reported: The report explicitly describes a fine of 26.7 billion won ($23 million) imposed on Naver, and notes that competitors' market shares went down.

Directly caused: Naver was fined 26.7 billion won ($23 million) for the algorithm manipulation.

Indirectly caused: Competitors like Gmarket, Auction, and Interpark suffered unquantified financial losses due to reduced exposure and lost market share.

Inferred additional harm: Competitors likely lost tens of millions of dollars in transaction fees and sales revenue over the multi-year period of manipulation.

Differential treatment

Reported: The report explicitly describes differential treatment of products and services on the platform.

Directly caused: Naver's search algorithm treated products from its own Smart Store and videos from Naver TV preferentially, ranking them higher than those of competitors.

Indirectly caused: Competitors' products were systematically downgraded and received less exposure.

Inferred additional harm: This systematic bias likely affected thousands of third-party merchants who did not use Naver Pay or Smart Store, leading to unfair search visibility.

Epistemic

Reported: The report explicitly describes epistemic harm where the practice misled customers to believe the results were fair and objective.

Directly caused: The manipulated search algorithm presented biased, self-serving rankings as objective and neutral search results, misleading users.

Indirectly caused: Consumers made purchasing decisions based on the false belief that they were seeing the most relevant or best-priced products.

Inferred additional harm: Widespread erosion of trust in search engine objectivity across the South Korean internet ecosystem.

People affected

• Occurrences reported: 1
• People reportedly harmed: 3
• People reportedly exposed: 3

Potential causes

Management

• Prioritizing Own Services: Management directed algorithms to favor Smart Store and Naver TV.
• Abusing Market Dominance: Used dominant portal position to expand market share of services.

Technology

• Manipulated Search Algorithms: Algorithms were modified to artificially boost Naver's own services.
• Naver Pay Integration Bias: Algorithm favored products linked to Naver's payment system.
• Video Search Bias: Search logic was altered to increase exposure of Naver TV videos.

Human Factors

• Deceived Consumer Trust: Consumers trusted search results to be fair and objective.
• Employee Collusion: Internal emails show employees planned to favor Naver Pay.

Process and Methods

• Altered Search Logic: Search logic was overhauled multiple times to adjust exposure.
• Exclusionary Search Rules: Rules ensured 20 percent of results came from Naver's Smart Store.

Regulatory Environment

• Antitrust Enforcement: FTC stepped up efforts to regulate dominant platform businesses.
• Lack of Platform Oversight: Absence of active monitoring allowed years of manipulation.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide clear, consistent details regarding the regulatory action, the specific fine amount of 26.7 billion won, the nature of the algorithmic manipulation, and the market share changes of Naver's Smart Store. Both sources align on the core facts of the FTC's ruling and Naver's response.
• Ambiguities identified: The exact technical details of how the search algorithm's logic was modified are not fully disclosed, and Naver disputes the FTC's characterization of the intent behind the changes.
• Alternative interpretations: Naver argues that the algorithm changes were standard optimizations intended to improve search quality and user experience rather than a deliberate anti-competitive manipulation.

South Korean internet giant Naver manipulated its search algorithms to favor its own e-commerce and video services over competitors, leading to an antitrust fine. The incident represents a domestic commercial regulatory issue with minor economic security implications but no significant national security threat.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: South Korea
• Alleged perpetrator: Naver

Threat characteristics

• Imminence: Long-term. The incident occurred between 2012 and 2015 with regulatory action in 2020, representing a historical regulatory case rather than an active threat.
• Autonomy: Human-controlled. The algorithm adjustments were deliberately planned and executed by human developers and management to favor company services.
• Novelty: Established threat. Algorithmic manipulation and self-preferencing by dominant digital platforms are well-documented anti-competitive practices globally.

Impact by dimension

• Physical security: Negligible. No physical systems, kinetic capabilities, or critical infrastructure were targeted or affected by the search algorithm manipulation.
• Information security: Negligible. The incident involved commercial e-commerce search results and did not impact state intelligence operations or classified information.
• Sovereignty: Negligible. No government operations, electoral systems, or sovereign state decisions were targeted or disrupted by the platform's commercial activities.
• Economic security: Minor. The manipulation affected domestic e-commerce competition and market shares, resulting in a significant fine, but did not threaten strategic national industries or overall economic stability.
• Societal stability: Negligible. While consumers were misled about search objectivity, the incident did not cause mass surveillance, civil unrest, or human rights violations.