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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015 |
| Publisher | IEEE Computer Society |
| Pages | 1596-1605 |
| Number of pages | 10 |
| Volume | 2015-March |
| ISBN (Electronic) | 9781479973675 |
| DOIs | |
| State | Published - Mar 26 2015 |
| Externally published | Yes |
| Event | 48th Annual Hawaii International Conference on System Sciences, HICSS 2015 - Kauai, United States Duration: Jan 5 2015 → Jan 8 2015 |
Other
| Other | 48th Annual Hawaii International Conference on System Sciences, HICSS 2015 |
|---|---|
| Country | United States |
| City | Kauai |
| Period | 1/5/15 → 1/8/15 |
Keywords
- Collective intelligence
- Content analysis
- Mass communications
- Network analysis
- Text mining
ASJC Scopus subject areas
- Engineering(all)