• 
• 6 min
• Wired
• 2019

Spreading of harmful content through Youtube’s AI recommendation engine algorithm. AI helps create filter bubbles and echo chambers. Limited user agency to be exposed to certain content.

• Digital Media Misinformation
• Digital Addiction
• Recommender Systems
• Social Networks

• 
• 15 min
• The App Solutions

Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.

• Data Privacy
• Technology Based Entertainment and Leisure
• Recommender Systems
• Data Mining

• 
• 7 min
• New York Times
• 2018

Youtube’s algorithm suggests increasingly radical recommendations to its users, maximising the amount of time they spend on the platform. The tendency toward inflammatory recommendations often leads to political misinformation.

• Digital Media Misinformation
• Polarization
• Recommender Systems
• Social Networks

• 
• 15 min
• n/a
• 2018

Choose-your-own-adventure game, in which you experience some sort of data fraud through acting in the position of a cast of characters.

• Digital Media Misinformation
• Computing Ethics Issues
• Machine Learning
• Recommender Systems

• 
• 2 min
• The Verge
• 2019

In this very short narrative, the Social Media Addiction Reduction technology Act is presented in the context of social networks and concerns around digital addiction.

• Digital Addiction
• Recommender Systems
• Social Networks

• 
• 10 min
• The Washington Post
• 2021

The academic Philip Agre, a computer scientist by training, wrote several papers warning about the impacts of unfair AI and data barons after spending several years studying the humanities and realizing that these perspectives were missing from the field of computer science and artificial intelligence. These papers were published in the 1990s, long before the data-industrial complex and the normalization of algorithms in the everyday lives of citizens. Although he was an educated whistleblower, his predictions were ultimately ignored, the field of artificial intelligence remaining closed off from outside criticism.

• Control of Personal Data/Identity
• Limitations of Digital Technologies
• Machine Learning
• Recommender Systems