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DTSTART:20210314T030000
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DTSTART:20211107T010000
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DTSTAMP:20210423T190227Z
UID:C29515DA-64AD-479F-86BE-DE27441727EA
DTSTART;TZID=Canada/Pacific:20210421T113000
DTEND;TZID=Canada/Pacific:20210421T124500
DESCRIPTION:Professional journalism is of utmost importance nowadays. It is
  a main feature distinguishing dictatorships from democracies\, and a mirr
 or sorely needed by society to look upon itself and understand its functio
 ning. In turn\, understanding is necessary for making informed decisions\,
  such as political choices. With the world turning increasingly digital\, 
 journalists need to analyze very large amounts of data\, while having no c
 ontrol over the structure\, organization\, and format of the data. Since 2
 013\, my team has been working to understand data journalism and computati
 onal fact-checking use cases\, to identify and develop tools adapted for t
 his challenging setting. My talk will present highlights from several year
 s of research in this area. First\, I will describe efforts to improve the
  accessibility to reference data sources which serve as trusted background
  for verifying (fact-checking) statistical claims. Second\, I will present
  ConnectionLens\, a system for integrating very heterogeneous data sources
  as graphs\, leveraging Information Extraction and Entity Disambiguation. 
 Information needs on ConnectionLens graphs are answered through graph-base
 d keyword search\; I will discuss the characteristics of ConnectionLens ke
 yword search which make it harder in our setting\, and our solution to the
 se issues. Finally\, I will present an application we currently develop\, 
 in collaboration with Stéphane Horel\, an investigative journalist from L
 e Monde.\n\nThe video recordings and the slides of the previous seminars i
 n this series are now available at the webinar series webpage &lt;http://data
 .cs.sfu.ca/tdsa.html&gt;.\n\nZoom Registration is required for access to the 
 meeting link. This way we can ensure quality discussions of participants f
 rom industry and education\n\nVirtual: https://events.vtools.ieee.org/m/27
 0100
LOCATION:Virtual: https://events.vtools.ieee.org/m/270100
ORGANIZER:Bob_Gill@bcit.ca
SEQUENCE:3
SUMMARY:Seminar Series on Trustworthy Data Science and AI: From Fact-Checki
 ng to Journalistic Data Integration by Dr. Ioana Manolescu 
URL;VALUE=URI:https://events.vtools.ieee.org/m/270100
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Professional journalism is of utmost impor
 tance nowadays. It is a main feature distinguishing dictatorships from dem
 ocracies\, and a mirror sorely needed by society to look upon itself and u
 nderstand its functioning. In turn\, understanding is necessary for making
  informed decisions\, such as political choices. With the world turning in
 creasingly digital\, journalists need to analyze very large amounts of dat
 a\, while having no control over the structure\, organization\, and format
  of the data. Since 2013\, my team has been working to understand data jou
 rnalism and computational fact-checking use cases\, to identify and develo
 p tools adapted for this challenging setting. My talk will present highlig
 hts from several years of research in this area. First\, I will describe e
 fforts to improve the accessibility to reference data sources which serve 
 as trusted background for verifying (fact-checking) statistical claims. Se
 cond\, I will present ConnectionLens\, a system for integrating very heter
 ogeneous data sources as graphs\, leveraging Information Extraction and En
 tity Disambiguation. Information needs on ConnectionLens graphs are answer
 ed through graph-based keyword search\; I will discuss the characteristics
  of ConnectionLens keyword search which make it harder in our setting\, an
 d our solution to these issues. Finally\, I will present an application we
  currently develop\, in collaboration with St&amp;eacute\;phane Horel\, an inv
 estigative journalist from Le Monde.&lt;/p&gt;\n&lt;p&gt;The video recordings and the 
 slides of the previous seminars in this series are now available at the we
 binar series webpage &amp;lt\;&lt;a href=&quot;http://data.cs.sfu.ca/tdsa.html&quot;&gt;http:/
 /data.cs.sfu.ca/tdsa.html&lt;/a&gt;&amp;gt\;.&lt;/p&gt;\n&lt;div class=&quot;dc-content&quot;&gt;\n&lt;div cl
 ass=&quot;dc-modules&quot;&gt;\n&lt;div class=&quot;dc-modules__item&quot;&gt;\n&lt;div class=&quot;eds-l-mar-b
 ot-12 eds-l-lg-mar-bot-14&quot;&gt;\n&lt;div class=&quot;dc-modules__item--text&quot;&gt;\n&lt;p&gt;&lt;str
 ong&gt;Zoom Registration is required for access to the meeting link.&lt;/strong&gt;
 &amp;nbsp\;This way we can ensure quality discussions of participants from ind
 ustry and education&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;
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