Building a database of political speech does culture matter in charisma annotations?

Ailbhe Cullen, Andrew Hines, Naomi Harte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For both individual politicians and political parties the in- ternet has become a vital tool for self-promotion and the distribution of ideas. The rise of streaming has enabled po- litical debates and speeches to reach global audiences. In this paper, we explore the nature of charisma in political speech, with a view to automatic detection. To this end, we have collected a new database of political speech from YouTube and other on-line resources. Annotation is per- formed both by native listeners, and Amazon Mechanical Turk (AMT) workers. Detailed analysis shows that both la- bel sets are equally reliable. The results support the use of crowd-sourced labels for speaker traits such as charisma in political speech, even where cultural subtleties are present. The impact of these difierent annotations on charisma pre- diction from political speech is also investigated.

Original languageEnglish
Title of host publicationAVEC 2014 - Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, Workshop of MM 2014
PublisherAssociation for Computing Machinery
Pages27-31
Number of pages5
ISBN (Electronic)9781450331197
DOIs
Publication statusPublished - 7 Nov 2014
Event4th International Workshop on Audio/Visual Emotion Challenge, AVEC 2014, Held in Conjunction with the ACM Multimedia 2014, MM 2014 - Orlando, United States
Duration: 7 Nov 20147 Nov 2014

Publication series

NameAVEC 2014 - Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, Workshop of MM 2014

Conference

Conference4th International Workshop on Audio/Visual Emotion Challenge, AVEC 2014, Held in Conjunction with the ACM Multimedia 2014, MM 2014
Country/TerritoryUnited States
CityOrlando
Period7/11/147/11/14

Keywords

  • Charisma detection
  • Computational paralinguistics

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