Computational analysis of collective intelligence in conversational text

Taraneh Khazaei, Lu Xiao

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations

Abstract

Collective intelligence refers to the intelligence that emerges from local interactions among individual people. In the last few decades, Web 2.0 technologies have enabled new forms of collective intelligence that allow massive numbers of loosely organized individuals to interact and create high quality intellectual artifacts. In computer and information science disciplines, automated computational methods are developed to analyze Web-based collective intelligence and the factors that may influence the phenomenon. To set the research agenda in this direction, we reviewed the relevant studies focusing on those that analyzed different aspects of discourse-centric collective intelligence. We present here our review results, the identified gaps, and our suggested directions.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015
EditorsTung X. Bui, Ralph H. Sprague
PublisherIEEE Computer Society
Pages1596-1605
Number of pages10
ISBN (Electronic)9781479973675
DOIs
StatePublished - Mar 26 2015
Externally publishedYes
Event48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States
Duration: Jan 5 2015Jan 8 2015

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2015-March
ISSN (Print)1530-1605

Other

Other48th Annual Hawaii International Conference on System Sciences, HICSS 2015
Country/TerritoryUnited States
CityKauai
Period1/5/151/8/15

Keywords

  • Collective intelligence
  • Content analysis
  • Mass communications
  • Network analysis
  • Text mining

ASJC Scopus subject areas

  • General Engineering

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