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DTSTAMP:20260428T110222Z
SUMMARY:Countering the COVID-19 Misinfodemic with Text Similarity and Socia
 l Data Science
DESCRIPTION:The Oxford Internet Institute is proud to present faculty membe
 r Dr Scott A. Hale for this next session in our Wednesday Webinar Series. 
 The session will be moderated by Dr Chico Camargo\, Postdoctoral Researche
 r in Data Science at the OII.Misinformation about COVID-19 has led to seve
 re harms in multiple instances: as an example\, a rumor that drinking meth
 anol would cure the virus resulted in hundreds of deaths. While end-to-end
  encryption is an important privacy safeguard\, this encryption prevents p
 latforms such as WhatsApp\, Signal\, and others from employing centralized
  interventions and warnings about misinformation. Several options\, howeve
 r\, from user interface changes to tip lines to having more intelligence o
 n client devices offer hope.In this presentation Dr Scott A. Hale will dis
 cuss how text similarity algorithms are being used to help fact-checkers l
 ocate misinformation\, cluster similar misinformation\, and identify exist
 ing fact-checks in the context of tip lines on platforms with end-to-end e
 ncryption. The presentation will detail research at the Oxford Internet In
 stitute and Meedan\, a global technology not-for-profit developing open-so
 urce tools for fact-checking and translation\, that is actively being used
  by fact-checkers to improve the information available online.
DTSTART;TZID=Europe/Berlin:20200624T130000
DTEND;TZID=Europe/Berlin:20200624T140000
LOCATION:1 St Giles \, Oxford (United Kingdom) 
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DESCRIPTION:Countering the COVID-19 Misinfodemic with Text Similarity and S
 ocial Data Science
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