Avaaz, an international advocacy group, released a review of Facebook's misinformation identifying software showing that the labeling process failed to label 42% of false information posts, most surrounding COVID-19 and the 2020 USA Presidential Election. Avaaz found that by adjusting the cropping or background of a post containing misinformation, the Facebook algorithm would fail to recognize it as misinformation, allowing it to be posted and shared without a cautionary label.

Avaaz, an international advocacy group, released a review of Facebook's misinformation identifying software showing that the labeling process failed to label 42% of false information posts, most surrounding COVID-19 and the 2020 USA Presidential Election.

Unclear/unknown

Harm to social or political systems

Facebook's algorithm and process used to place cautionary labels on posts that are decided to contain misinformation

Facebook

Information and communication

Perception, Cognition

Language recognition, content filtering, image recognition

misinformation labeling, image recognition, image labeling

Global

Facebook, Avaaz, Reuters, AP, PolitiFact

Facebook

2020-10-09T07:00:00.000Z

2020-10-09T07:00:00.000Z

Unclear/unknown

Unclear

No

Communications

User posts

none

information and communication