Name
Abstract | ||
|---|---|---|
In a broad sense, social media refers to a conversational, distributed mode of content generation, dissemination, and communication among communities. Different from broadcast-based traditional and industrial media, social media has torn down the boundaries between authorship and readership, while the information consumption and dissemination process is becoming intrinsically intertwined with the process of generating and sharing information. This special issue samples the state of the art in social media analytics and intelligence research that has direct relevance to the AI subfield from either an methodological or domain perspective. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/MIS.2010.151 | IEEE Intelligent Systems |
Keywords | Field | DocType |
dissemination process,intelligence research,broad sense,social media analytics,artificial intelligence,social media streams,collaborative tagging,stream reasoning,domain perspective,user-generated content,ai subfield,agent-based markets,information consumption,social media,virtual worlds,content generation,intelligent systems,direct relevance,social media intelligence,social networking (online),industrial media,information sharing,user generated content | User-generated content,Metaverse,Social media analytics,World Wide Web,Social media,Social media optimization,Intelligent decision support system,Computer science,Information sharing,Audience measurement | Journal |
Volume | Issue | ISSN |
25 | 6 | 1541-1672 |
Citations | PageRank | References |
41 | 2.04 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Zeng | 1 | 2539 | 286.59 |
| Hsinchun Chen | 2 | 9569 | 813.33 |
| Robert Lusch | 3 | 49 | 2.68 |
| Shu-Hsing Li | 4 | 108 | 8.79 |