ADS Coffee & Data: Controversy in Web Data

Amsterdam Data Science: Controversy in Web Data

June 9th 2017 9:00 – 11:00, HG-16A (Kerkzaal) Vrije Universiteit Amsterdam

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.

09:00-09:10 Coffee

Introduction & Chair by Lora Aroyo, Full Professor at the Web & Media group, VU Computer Science

09:10-09:20: Benjamin Timmermans (VU, Computer Science) – Understanding Controversy Using Collective Intelligence

09:20-9:30: Kaspar Beelen (UvA, Faculty of Humanities) – Detecting Controversies in Online News Media

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) – Measuring Diversity

10:15-10:30: Daan Odijk (Blendle) – Making & Breaking Filter Bubbles

10:30-10:45: Andy Tanenbaum – Skewing the Data

10:45-11:00: Q&A Coffee