DebateVis: Visualizing Political Debates for Non-Expert Users
| Autor: | Lu Wang, Michelle A. Borkin, Michail Schwab, Laura South, Nicholas Beauchamp, John Wihbey |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Casual
Computer science business.industry media_common.quotation_subject 020207 software engineering 02 engineering and technology Public relations Task (project management) Politics Data visualization 020204 information systems Voting Design study 0202 electrical engineering electronic engineering information engineering Task analysis Journalism business media_common |
| Zdroj: | IEEE VIS (Short Papers) |
| DOI: | 10.1109/vis47514.2020.00055 |
| Popis: | Political debates provide an important opportunity for voters to observe candidate behavior, learn about issues, and make voting decisions. However, debates are generally broadcast late at night and last more than ninety minutes, so watching debates live can be inconvenient, if not impossible, for many potential viewers. Even voters who do watch debates may find themselves overwhelmed by a deluge of information in a substantive, issue-driven debate. Media outlets produce short summaries of debates, but these are not always effective as a method of deeply comprehending the policies candidates propose or the debate techniques they employ. In this paper we contribute reflections and results of an 18-month design study through an interdisciplinary collaboration with journalism and political science researchers. We characterize task and data abstractions for visualizing political debate transcripts for the casual user, and present a novel tool (DebateVis) to help non-expert users explore and analyze debate transcripts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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