About this episode
Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.
In this episode of the Data Exchange I speak with Xinyi Zhou, a graduate student in Computer and Information Science at Syracuse University. Xinyi and her advisor (Reza Zafarani) recently wrote a comprehensive survey paper entitled “A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities”. They set out to organize the many different methods and perspectives used to detect fake news. Their paper is a great resource for anyone wanting to understand the strengths and limitations of various state-of-the-art techniques, and a feel for where the research community might be headed in the near future.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.
Get every episode summarized
Each time The Data Exchange with Ben Lorica publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Data Exchange with Ben Lorica
Your AI Agent Is Costing You More Than You Think
The Data Exchange with Ben Lorica
Reasoning Doesn't Start With Language
The Data Exchange with Ben Lorica
An Agent Is Just an LLM in a For-Loop
The Data Exchange with Ben Lorica
The Bloomberg Terminal for AI Compute
The Data Exchange with Ben Lorica