Human Detection of Fake News

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

When you open the newspaper, turn on the nightly news or scroll the Internet, is what you are reading and seeing true? How do you know? What is “fake news” and why does it seem to be everywhere? Dr. Dolores Albarracin explains why fake news is so compelling, and what it takes to ...  Show more

This episode features two segments on the subject of disinformation. In the first, Rebecca Rand speaks with Dr. Shelby Grossman, a research scholar at the Stanford Internet Observatory, on recent research that looks at whether AI can write persuasive propaganda. In the second seg ...  Show more

In this podcast we will be talking about fake news and it’s impact as well as you can spot it 

Fake news: It’s everywhere. But Google’s Jigsaw team is using data to tackle the problem head-on. -- This program is produced by Mission.org and brought to you by Splunk, the Data-to-Everything Platform. Splunk helps organizations worldwide turn data into doing. With solutions fo ...  Show more