#72 Eric Schles, Fake News and How To Filter It With Big Data
Eric Schles talks about a set of tools he is building to identify and filter fake news stories.
Who he is, a story on human trafficking. Importance of identifying “fake news”. News Literacy Project, how Eric got involved. Manually categorizing news stories. Building software to do the job, metrics to identify “fake news”, Stitch Fix, word distance map, comparing to the manual process. Eric loves Python, scraping. Other applications of tool, machine generating long form content, “machines writing books”. Providing an API. Scaling to handle large volumes; Python 3.6; Asyncio and Kafka. Bias in the software; yellow journalism in 1890s and 1920s. How to help.