FEATURES

What we do

Controversy Barometer

The Barometer helps you to discover controversial topics, issues, people and more.

Event Blender

With the Event Blender you can investigate the controversy around events and topics in real time.

Controversy Algorithms

We measure controversy across media such as news articles, scientific papers and social media.

ControCurator

Crowds and Machines for Modeling and Discovering Controversy

ControCurator aims to enable for modern information access systems to discover and understand controversial topics and events by bringing together different types of crowds (niches of experts, lay crowds and engaged social media contributors) and machines in a joint active learning workflow for the creation of adequate training data both realtime and offline.

In ControCurator the Accurator.nl tools and algorithms will be validated in new domains with different niches of experts (media studies scholars and professionals from the media industry), and with different types of media (social media, videos and video transcripts/subtitles) and will be also combined with complementary paid crowdsourcing and machine processing of text.

  • Crowdsourcing
  • Nichesourcing
  • Machine Learning
  • SOCIAL MEDIA

Team

A collaboration between the Vrije Universiteit Amsterdam, University of Amsterdam, The Netherlands Institute for Sound and Vision and CrowdyNews
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Lora Aroyo

Vrije Universiteit Amsterdam
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Evangelos Kanoulas

University of Amsterdam
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Benjamin Timmermans

Vrije Universiteit Amsterdam
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Johan Oomen

Netherlands Institute for Sound and Vision
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Tobias Kuhn

Vrije Universiteit Amsterdam
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Jaap Blom

Netherlands Institute for Sound and Vision
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Kaspar Beelen

University of Amsterdam
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Bob van de Velde

University of Amsterdam (UvA)
Crowdsourcing, Machine Learning & Architecture

Partners

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