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Content Distribution

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Recommender Systems Courses Bias Analysis Courses

Course Description

Overview

Explore cutting-edge research on content distribution and its societal impacts in this ACM FAT* 2019 conference session. Delve into four thought-provoking presentations covering microtargeting of divisive ads, biases in truth perception of news stories, controlling polarization in personalization algorithms, and simulating the effects of recommender systems in online news environments. Gain insights from experts as they discuss the challenges and implications of content distribution in the digital age, including topics such as social media manipulation, fact-checking, algorithmic bias, and the influence of recommender systems on news consumption. Chaired by Robin Burke, this 50-minute session offers a comprehensive look at the intersection of technology, content distribution, and their effects on society.

Syllabus

FAT* 2019: Content Distribution


Taught by

ACM FAccT Conference

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