A Novel Method to Gauge Audience Engagement with Televised Election Debates Through Instant, Nuanced Feedback Elicitation
dc.contributor.author | De Liddo, Anna | |
dc.contributor.author | Plüss, Brian | |
dc.contributor.author | Wilson, Paul | |
dc.contributor.editor | Lewkowicz, Myriam | |
dc.contributor.editor | Rohde, Markus | |
dc.contributor.editor | Mulder, Ingrid | |
dc.contributor.editor | Schuler, Douglas | |
dc.date.accessioned | 2019-04-04T19:54:11Z | |
dc.date.available | 2019-04-04T19:54:11Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Despite a steep increase in the use of the Internet and handheld computing devices for media consumption, television is still of critical importance for democratic citizenship. Television continues to be the leading source of political information and its relevance has been recognised at policy level. In addition, television keeps evolving technologically and in how it is experienced by viewers. Nonetheless, the ways researchers have measured audience engagement with televised political events in real-time is often limited to small samples of viewers and is based upon a narrow range of responses. In this paper we look at the audience of televised election debates, and propose a new method to gauge the richness and variety of citizens' real-time responses at scale by capturing nuanced, non-intrusive, simple and measurable audience feedback. We report on a paper prototype experiment, in which we used a set of flashcards to test the method in an actual televised election debate scenario. We demonstrate how the method can improve our understanding of viewer responses to the debaters' performances, to the contents in their arguments, and to the debate as media event. We conclude with design guidelines to implement the method on a mass scale in order to measure audience engagement with televised election debates in distributed contexts through audience feedback web and mobile applications. | en |
dc.identifier.doi | 10.1145/3083671.3083673 | |
dc.identifier.isbn | 978-1-4503-4854-6 | |
dc.language.iso | en | |
dc.publisher | ACM Press, New York | |
dc.relation.ispartof | Proceedings of the 8th International Conference on Communities and Technologies | |
dc.subject | Televised election debates | |
dc.subject | audience feedback | |
dc.subject | audience research | |
dc.subject | citizen engagement | |
dc.subject | collective intelligence | |
dc.subject | multimedia annotation | |
dc.title | A Novel Method to Gauge Audience Engagement with Televised Election Debates Through Instant, Nuanced Feedback Elicitation | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 77 | |
gi.citation.startPage | 68 | |
gi.citations.count | 4 | |
gi.citations.element | Katerina Gorkovenko, Nick Taylor (2019): Audience and Expert Perspectives on Second Screen Engagement with Political Debates, In: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video, doi:10.1145/3317697.3323352 | |
gi.citations.element | Anna De Liddo, Brian Plüss, Alberto Ardito (2020): Democratic Reflection, In: Companion Publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3406865.3418562 | |
gi.citations.element | Douglas Schuler, Anna De Liddo, Justin Smith, Fiorella De Cindio (2017): Collective intelligence for the common good: cultivating the seeds for an intentional collaborative enterprise, In: AI & SOCIETY 1(33), doi:10.1007/s00146-017-0776-6 | |
gi.citations.element | Peter Andrews, Njål Borch, Morten Fjeld (2025): AiModerator: A Co-Pilot for Hyper-Contextualization in Political Debate Video, In: Proceedings of the 30th International Conference on Intelligent User Interfaces, doi:10.1145/3708359.3712148 | |
gi.conference.date | June 26-30, 2017 | |
gi.conference.location | Troyes, France | |
gi.conference.sessiontitle | Long Papers | |
mci.conference.review | full |