Content moderation at scale - Protecting integrity of online communities on Meta platforms

Type of session: talk

To enable content moderation on large social media platforms it is important to timely detect harmful viral content. The detection problem is difficult because content virality results from interactions between user interests, content characteristics, feed ranking, and community structure.

This talk will shed the light on the design of the algorithms which can efficiently solve this problem at Meta scale.

Session takeaways

  • Insights into integrity problems on social media platforms


I am a research scientist on the Facebook Research team, working on understanding and modelling large-scale user behaviour.

Before joining Facebook I worked as a data scientist at Skyscanner and as a researcher at King’s College London. My research interests lie on the intersection between systems design, data analysis and machine learning.

Note: Speaker information is subject to change

Conference Sponsored By

Sponsor logo SETsquared Exeter

SETsquared Exeter

SETsquared Exeter is part of the SETsquared Partnership. An initiative made up of 6 Universities and formed to share best practice around Student Entrepreneurship, Research Commercialisation, Business Acceleration, and Scale Up activity. Through the ERDF Funded University of Exeter Enterprise Zone, SETsquared Exeter Helps innovative Devon-based start-ups and SMEs to achieve accelerated high growth through the provision of expert business support.

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