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SUMMARY:Understanding and Bridging the Wikipedia Language Gap
DTSTART:20150914T131500
DTEND:20150914T140000
DTSTAMP:20260510T064839Z
UID:07f27e6677160651d4e078d30fd465acccba4bb30e88f03b631cdf06
CATEGORIES:Conferences - Seminars
DESCRIPTION:Darren Gergle (Ph.D.\, Carnegie Mellon University) is a Profes
 sor in Communication Studies and Electrical Engineering and Computer Scien
 ce (by courtesy) at Northwestern University. His research focuses on socia
 l computing and human-computer interaction and applies cognitive and socia
 l psychological theories to the design\, development and evaluation of nov
 el communication technologies. His research is generously supported by gra
 nts from the National Science Foundation\, National Institute of Mental He
 alth\, Google\, Microsoft Research and Facebook.\nEvery day people produce
  an extraordinary amount of user-generated content in social media systems
  such as Wikipedia\, Flickr\, and Facebook. There is great opportunity for
  such data to help provide global coverage of a variety of topics. Yet\, t
 here is also a risk that language barriers and coverage biases present in 
 the data can limit the information available to certain user communities. 
 In this talk\, I will present research that illustrates both the challenge
 s and opportunities of user-generated content in the context of multilingu
 al Wikipedia. First\, I will present studies that empirically assess the c
 ontent diversity and coverage biases that exist across numerous language e
 ditions of Wikipedia. Next\, I will demonstrate the effects these coverage
  biases can have on end-user technologies. Finally\, I will introduce Omni
 pedia—a system our lab developed that highlights the opportunities such 
 data present for designing a new class of global technologies.
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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