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ControCurator paper on Understanding Controversy accepted at Collective Intelligence

Our ControCurator paper abstract titled “ControCurator: Understanding Controversy Using Collective Intelligence” has been accepted at Collective Intelligence 2017. In this paper we describe the aspects of controversy: the time-persistence, emotion, multiple actors, polarity and openness. Using crowdsourcing, the ControCurator dataset

Posted in Datasets, Releases

ControCurator demonstration at ICT Open 2017

Our demo of ControCurator titled “ControCurator: Human-Machine Framework For Identifying Controversy” will be shown at ICT Open 2017. In this demo the ControCurator human-machine framework for identifying controversy in multimodal data is shown. The goal of ControCurator is to enable

Posted in Demos