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Incident 348: YouTube Recommendation Reportedly Pushed Election Fraud Content to Skeptics Disproportionately

Description: YouTube's recommendation algorithm allegedly pushed 2020's US Presidential Election fraud content to users most skeptical of the election's legitimacy disproportionately compared to least skeptical users.

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Alleged: YouTube developed and deployed an AI system, which harmed YouTube users skeptical of US election results.

Incident Stats

Incident ID
348
Report Count
3
Incident Date
2020-11-01
Editors
Khoa Lam
Applied Taxonomies
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
 

3.2. Pollution of information ecosystem and loss of consensus reality

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. Misinformation

Entity

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

AI

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
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceElection Fraud, YouTube, and Public Perception of the Legitimacy of President Biden+1
YouTube algorithm pushed election fraud claims to Trump supporters, report says
Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden

Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden

tsjournal.org

YouTube algorithm pushed election fraud claims to Trump supporters, report says

YouTube algorithm pushed election fraud claims to Trump supporters, report says

arstechnica.com

Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden - NYU’s Center for Social Media and Politics

Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden - NYU’s Center for Social Media and Politics

csmapnyu.org

Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden
tsjournal.org · 2022

Skepticism about the outcome of the 2020 presidential election in the United States led to a historic attack on the Capitol on January 6th, 2021 and represents one of the greatest challenges to America's democratic institutions in over a ce…

YouTube algorithm pushed election fraud claims to Trump supporters, report says
arstechnica.com · 2022

For years, researchers have suggested that algorithms feeding users content aren't the cause of online echo chambers, but are more likely due to users actively seeking out content that aligns with their beliefs. This week, New York Universi…

Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden - NYU’s Center for Social Media and Politics
csmapnyu.org · 2022

We find that those most skeptical of the legitimacy of the 2020 election were recommended three times as many election-fraud related videos as were the least skeptical participants.

Abstract

Skepticism about the outcome of the 2020 presiden…

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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