investigating machines
The subjects and the technology in these investigations are varied but they’re all here because they show how journalists are investigating what is being served to people opaquely.
2024. Lighthouse Reports. Sweden’s suspicion machine
2023. Lighthouse Reports. France’s digital inquisition (Caisse nationale des allocations familiales) & Methodology
2023. Lighthouse Reports. Inside the suspicion machine (Rotterdam’s welfare fraud algorithm) & Methodology & NICAR 2024 workshop
2022. Karen Hao. AI Colonialism (series)
2021. YouTube Regrets Reporter. Study report. Mozilla
2021. Inside TikTok’s algorithm. WSJ. Video & article
2021. Faife, Corin & Ng, Alfred. After repeatedly promising not to, Facebook keeps recommending political groups. The Markup & data
2021. Bayerischer Rundfunk. Objective or biased: on the questionable use of AI for job applications
2020. Yin, Leon & Jeffries, Adrianne. How we investigated Google’s results. The Markup
2020. Ferguson, Sam, Khoo, Anna, Homer, Alex, Lynch, Paul & Sherlock, Pete. Cookies on council benefits pages. BBC Data Unit & methodology breakdown
2018. Hill, Kashmir. People You May Know: a controversial Facebook feature
2018. Algorithm Watch & Open Knowledge Foundation Deutschland. OpenSCHUFA
2017-18. Gizmodo. People you may know (Series)
2016. Angwin, Julia, Parris Terry & Mattu, Surya. What Facebook knows about you. Propublica
2012-14. Lawson, Jeff & Shaw, Al. Message machine: reverse engineering the 2012 campaign. Propublica
2012. Valentino-DeVries, Jennifer et al. Websites Vary Prices, Deals Based on Users’ Information
Ongoing. Chaslot, Guillaume. Algotransparency (YouTube)
Ongoing. Machine bias (series). Propublica
Ongoing. YouTube Tracking Exposed