Harnessing user behaviour and AI to reverse …...2018/03/05 · ezyinsights LINDA NIEUWS TRESMEDIA...
Transcript of Harnessing user behaviour and AI to reverse …...2018/03/05 · ezyinsights LINDA NIEUWS TRESMEDIA...
Harnessing user behaviour and AI to
reverse engineer filter bubbles
The fastest content discovery for newsrooms & publishers.
Who do we work with?
What happened in 2017?
1. FB influencing opinion wasn’t ‘crazy’2. Fake engagement took over the USA (and
no one noticed)3. Further polarisation4. Filter bubbles became Filter prisons
From 46kTo 8.4kLikes
Extreme, controversial and fake news is rewarded by design
Alt Right spokespeople have become publishers
Popular ones
Q. How can we see what Facebook hides?
A. Using a lot of data
Data included in our demo:
48,050 of the top FB pages~500,000 posts
200 million users3.3 billion data points
No obvious groups emerge
Very limited exposure to mainstream news sources
Comparison with NYT audience
Mainly news outlets
In Conclusion
● Uncover popular filter bubbles ● Distribute along a spectrum
● Compare audiences