Collective intelligence in Massive Online Dialogues
Taraneh Khazaei, Lu Xiao
TL;DR
This paper surveys automated tools analyzing discourse in large-scale online dialogues, highlighting current research directions, gaps, and limitations in understanding collective intelligence fostered by Web 2.0 technologies.
Contribution
It provides a comprehensive review of existing tools and identifies key gaps and limitations in analyzing collective intelligence in online dialogues.
Findings
Identified key research gaps in automated discourse analysis
Highlighted limitations of current tools in capturing collective intelligence
Mapped current research directions in online dialogue analysis
Abstract
The emergence and ongoing development of Web 2.0 technologies have enabled new and advanced forms of collective intelligence at unprecedented scales, allowing large numbers of individuals to act collectively and create high quality intellectual artifacts. However, little is known about how and when they indeed promote collective intelligence. In this manuscript, we provide a survey of the automated tools developed to analyze discourse-centric collective intelligence. By conducting a thematic analysis of the current research direction, a set of gaps and limitations are identified.
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Taxonomy
TopicsExpert finding and Q&A systems · Knowledge Management and Sharing · Opinion Dynamics and Social Influence