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#72 Eric Schles, Fake News and How To Filter It With Big Data

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Manage episode 214430819 series 2414914
Content provided by no dogma podcast and Bryan Hogan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by no dogma podcast and Bryan Hogan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Summary

Eric Schles talks about a set of tools he is building to identify and filter fake news stories.

Details

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 the job, metrics to identify "fake news", stitch fix, word distance map, comparing to the manual process. Eric loves python, scraping. Other applications, 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.

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173 episodes

Artwork
iconShare
 
Manage episode 214430819 series 2414914
Content provided by no dogma podcast and Bryan Hogan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by no dogma podcast and Bryan Hogan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Summary

Eric Schles talks about a set of tools he is building to identify and filter fake news stories.

Details

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 the job, metrics to identify "fake news", stitch fix, word distance map, comparing to the manual process. Eric loves python, scraping. Other applications, 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.

  continue reading

173 episodes

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