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DATALAB Talk: Automated Fact Checking

NB: This event has passed.

2017.11.16 | Anne Hove Henriksen

Isabella Augenstein

Isabella Augenstein

DATALAB hosts talks on a regular basis where researchers present their project, knowledge and results. This time, tenure-track Assistant Professor at the IT University of CopenhagenIsabelle Augenstein will present her learning on how to read for automated fact checking.

The key issue will be:

How can natural language processing methods help to automatically check facts and in that way combat fake news and disinformation?

What you will learn

Spreading of mis- and disinformation is growing and is having a big impact on interpersonal communications, politics and even science. Traditional methods, e.g. manual fact-checking by reporters cannot keep up with the growth of information. On the other hand, there has been much progress in natural language processing recently, partly due to the resurgence of neural methods.

The purpose of the talk is to explore different ways to frame fact checking and detail our ongoing work on learning to encode documents for automated fact checking, as well as describe future challenges.

Programme

  • 14.00-14.15 – Datalab news, cake and coffee
  • 14.15-15.00 – Talk by Isabelle Augenstein
  • 15.00-15.15 – Q&A
  • 15.15-16.00 – More talk and network for those who haven’t had enough

Sign up for the talk

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Survival of Quality Content, DATALAB, Disinformation