Rating News Credibility with Algorithms, with Arjun Moorthy

Social Media and Politics

English - April 17, 2022 07:00 - 56 minutes - 52 MB - ★★★★★ - 24 ratings
Government Science Social Sciences social media social networks politics political science digital marketing media communication democracy facebook Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: Social Media and the War in Ukraine, with Prof. Joshua Tucker

Next Episode: Comparing Digital Political Communication across Countries and Time, with Prof. Anders Olof Larsson

Arjun Moorthy, co-founder and CEO of The Factual, discusses how machine learning and natural language processing can rank news for credibility. Arjun breaks down the criteria underpinning The Factual's rating system as well as how it tries to minimize bias. We talk about some of the pitfalls of optimizing news for engagement, as well as how anonymity in a different incentive structure affects discourse around discussing news. Towards the end of the episode, we discuss the current state of AI in the newsroom, and how automation might affect news consumption in the future.

Check out the Unbiased Podcast!

And test out The Factual's engine at IsThisCredible.com