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The Election Debate Visualisation (EDV) project (http://edv-project.net/) aims to improve democratic citizenship, making televised election debates more accessible and engaging by giving viewers tools to make sense of complex political argumentation. The project brings together research from political communication, computational linguistics, collective intelligence and design in order to provide enhanced, interactive online debate replays (Plüss and De Liddo, 2015). Centred around the citizens’ democratic expectations about election debates (Coleman and Moss, 2016), data from several sources related to a televised debate (video, transcript, live audience responses, tweets, etc.) are analysed. The results of these analyses are then shown as interactive visualisations, in synchrony with the video of the debate.
This talk focuses on the challenges in producing visualisations that are suitable for a wide range of audiences, from domain experts and data scientists, to politics students and the general public. The issues and proposed solutions are illustrated with a demo of the tools developed by the EDV project, covering debate aspects such as: computer supported argument visualisation (Buckingham Shum, 2003; De Liddo et al., 2012), debate rule compliance and fair play (Plüss, 2014; Coleman et al., 2014a), and a novel method for capturing real-time audience feedback to media events (Coleman et al. 2014b).