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Incident 270: Apple Tweaked App Store Ranking Algorithms, Allegedly Resulted in Demotion of Local Apps in China

Description: Following Apple’s changes in ranking algorithm in its iTunes App Store, apps by allegedly reputable companies and local startups in China experienced significant drops in ranking order.

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Alleged: Apple developed and deployed an AI system, which harmed Renren , Buding Movie Tickets , Yi Xia , Dangdang , Chinese startups and Chinese companies.

Incident Stats

Incident ID
270
Report Count
1
Incident Date
2011-04-18
Editors
Khoa Lam
Applied Taxonomies
GMF, MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceApple Seems to Have Tweaked App Store Ranking Algorithm, Many Chinese Apps Plunge
Apple Seems to Have Tweaked App Store Ranking Algorithm, Many Chinese Apps Plunge

Apple Seems to Have Tweaked App Store Ranking Algorithm, Many Chinese Apps Plunge

techinasia.com

Apple Seems to Have Tweaked App Store Ranking Algorithm, Many Chinese Apps Plunge
techinasia.com · 2012

A report from a Chinese news site suggests that Apple (NASDAQ:AAPL) has adjusted its ranking rules and algorithm for the iTunes App Store in an apparent bid to punish developers who use third-party services to manipulate their apps’ ranking…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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