This edition of the ADS meetup will focus on the topic of “How to deal with controversy, bias, quality and opinions on the Web” and will be organised in the context of the COMMIT/ ControCurator project, in which VU and UvA computer scientists and humanities researchers investigate jointly the computational modeling of controversial issues on the Web, and explore its application within real use cases in existing organisational pipelines, e.g. Crowdynews and Netherlands Institute for Sound and Vision.
Introduction & Chair by Lora Aroyo, Full Professor at the Web & Media group (VU, Computer Science)
09:10-9:20: Kaspar Beelen (UvA, Faculty of Humanities) – “Detecting Controversies in Online News Media”
09:20-09:30: Benjamin Timmermans (VU, Computer Science) – “Understanding Controversy Using Collective Intelligence”
09:30-09:45: Gerben van Eerten – Crowdynews deploying ControCurator
09:45-10:00: Davide Ceolin (VU, Computer Science) – “Identifying High-quality Opinions on the Web”
10:00-10:15: Damian Trilling (UvA, Faculty of Social and Behavioural Sciences)
10:30-10:45: Andy Tanenbaum – “Skewing the data”
10:45-11:00: Q&A Coffee
Registration is free but please do so in advance through Meet-up. The event will be in English and is open to all.
About Amsterdam Data Science
Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.
Find out more about ADS at http://amsterdamdatascience.nl