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SUMMARY:Studying emotions at individual and collective levels with social 
 media data\, by prof. David Garcia
DTSTART:20240126T143000
DTEND:20240126T153000
DTSTAMP:20260413T103537Z
UID:c9cd3673052786bf41adc992d211970bf9a271f7b6bda80e784bb424
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. David Garcia\nThe wealth of data generated by our digita
 l society\, when analyzed through computational methods like natural langu
 age understanding\, provides a new window to study human behavior at new s
 cales and resolutions. This enables the analysis of social phenomena in wh
 ich temporal dynamics and network structures require the use of large and 
 detailed data. David Garcia will present an overview of his work on the an
 alysis of emotions with social media data\, one of the most accessible and
  powerful data sources in our digital society. He will present how a valid
 ation study against representative survey data shows the potential of soci
 al media macroscopes of emotions to track the emotions of a society. This 
 has motivated our further work on emotion detection on social media data a
 t the individual level and further applications of natural language proces
 sing to study online affective life.\n\nDavid Garcia is Professor for Soci
 al and Behavioral Data Science at the University of Konstanz since October
  2022. He also holds appointments at the Graz University of Technology and
  the Complexity Science Hub Vienna\, where part of his research lab is co-
 located. David holds computer science degrees from Universidad Autonoma de
  Madrid (Spain) and ETH Zurich (Switzerland). David did a PhD and Postdoc 
 at ETH Zurich\, working at the chair of systems design. His research focus
 es on computational social science\, designing models and analysing human 
 behaviour through digital traces. His main work revolves around the topics
  of emotions\, polarization\, inequality\, and privacy\, combining statist
 ical analyses of large datasets of online interaction with computational m
 odels. David’s work lies at the intersection of various scientific disci
 plines\, combining methods from network science\, computer science\, and s
 tatistical physics to answer questions from psychology and political scien
 ce.\n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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