Storia: Summarizing social media content based on narrative theory using crowdsourcing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

People from all over the world use social media to share thoughts and opinions about events, and understanding what people say through these channels has been of increasing interest to researchers, journalists, and marketers alike. However, while automatically generated summaries enable people to consume large amounts of data efficiently, they do not provide the context needed for a viewer to fully understand an event. Narrative structure can provide templates for the order and manner in which this data is presented to create stories that are oriented around narrative elements rather than summaries made up of facts. In this paper, we use narrative theory as a framework for identifying the links between social media content. To do this, we designed crowdsourcing tasks to generate summaries of events based on commonly used narrative templates. In a controlled study, for certain types of events, people were more emotionally engaged with stories created with narrative structure and were also more likely to recommend them to others compared to summaries created without narrative structure.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
PublisherAssociation for Computing Machinery
Pages1018-1027
Number of pages10
ISBN (Electronic)9781450335928
DOIs
StatePublished - Feb 27 2016
Externally publishedYes
Event19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States
Duration: Feb 27 2016Mar 2 2016

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume27

Other

Other19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Country/TerritoryUnited States
CitySan Francisco
Period2/27/163/2/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

Keywords

  • Creative collaboration
  • Crowdsourcing
  • Social computing
  • Storytelling

Fingerprint

Dive into the research topics of 'Storia: Summarizing social media content based on narrative theory using crowdsourcing'. Together they form a unique fingerprint.

Cite this