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SUMMARY:Network-centric Approaches to the Exploration of News Streams
DTSTART:20181112T130000
DTEND:20181112T140000
DTSTAMP:20260503T111339Z
UID:d719954d0002436f41fdc20d2ef0a49e1dd05a309e46d7dc0152affa
CATEGORIES:Conferences - Seminars
DESCRIPTION:Andreas Spitz\nThe interconnectedness and frequency of publish
 ed news articles is both a blessing and a curse for the contemporary news 
 consumer. On the one hand\, it is easy to get swept away by the deluge of 
 articles in the news stream and miss the big picture. On the other hand\, 
 given the right amount of automated preprocessing\, it is also much easier
  to discover connections that would otherwise be hidden to the unaided rea
 der. In this talk\, I discuss two network-centric approaches that provide 
 a novel perspective on the interconnectedness of news articles. In the fir
 st half\, I introduce the concept of implicit entity networks and show how
  they can be obtained from large streams or collections of unstructured te
 xts. Focusing on the entity types of location\, organization\, person\, an
 d date\, I highlight applications for such networks in the exploration and
  visualization of events and topics in entangled news streams. Since impli
 cit entity networks are highly dependent on named entity extraction and li
 nking\, I subsequently discuss their benefits and drawbacks in relation to
  word embeddings. In the second half\, I adopt a coarser view on network s
 tructures in news by focusing on news citation networks as a novel perspec
 tive on information propagation in news. After a brief introduction into t
 he concept of news citation networks\, I show how their structure simultan
 eously ties them to scientific citation networks and sets them apart. In a
 ddition to some preliminary results in document dating based on the networ
 k structure of news\, I discuss potential implications for the detection o
 f ideological bubbles in news publishing.\n\nAndreas studied computer scie
 nce with a minor in computational linguistics at Heidelberg University\, w
 here he received his Master of Science degree in December 2014. Currently\
 , he is working as a research assistant and PhD student in the Database Sy
 stems Research group at Heidelberg University under the supervision of Mic
 hael Gertz. His interests broadly cover the intersection of information re
 trieval\, natural language processing\, and complex network analysis. His 
 recent projects have focused on the extraction and analysis of network rep
 resentations of annotated textual sources to bridge the gap between fully 
 structured knowledge graphs and entirely unstructured texts.
LOCATION:BC 333 https://plan.epfl.ch/?room=BC333
STATUS:CONFIRMED
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