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SUMMARY:Fighting Misinformation in Science Communication with NLP - Dustin
  Wright (University of Copenhagen)
DTSTART:20230602T110000Z
DTEND:20230602T120000Z
UID:TALK200035@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Abstract:\n\nMisinformation continues to be a problem in onlin
 e discourse with tangible consequences. Misinformation related to science 
 in particular is detrimental to people’s health and ability to make info
 rmed decisions about their behavior. But how does science misinformation m
 anifest itself\, and how can natural language processing be used to combat
  it at scale? In this talk\, I will introduce the topic of misinformation 
 in science communication and its relationship to general misinformation. I
  will then present two recent works on identifying distortions in science 
 communication\, namely on exaggeration and on general information change. 
 Finally\, I’ll discuss ongoing and future work on NLP for science commun
 ication: predicting multiple distortions in communication and analyzing th
 e news-worthiness of scientific articles.\n\nBio:\n\nDustin is a Postdoc a
 t the University of Copenhagen researching sustainable machine learning an
 d misinformation in science. Previously he was a PhD Fellow in the CopeNLU
  group where he worked on automated fact checking\, automatic understandin
 g and analysis of science communication\, and domain adaptation. He receiv
 ed a master’s degree from University of California\, San Diego\, and has
  worked at IBM Research and Allen Institute for Artificial Intelligence on
  the Semantic Scholar project.\n\n
LOCATION:Computer Lab\, SS03
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