Content quality assessment related frameworks for social media
| dc.contributor.author | Chai, Kevin | |
| dc.contributor.author | Potdar, Vidyasagar | |
| dc.contributor.author | Dillon, Tharam S. | |
| dc.contributor.editor | Osvaldo Gervasi | |
| dc.contributor.editor | David Taniar | |
| dc.contributor.editor | Beniamino Murgante | |
| dc.contributor.editor | Antonio Lagana | |
| dc.contributor.editor | Youngson Mun | |
| dc.contributor.editor | Marina Gavrilova | |
| dc.date.accessioned | 2017-01-30T10:47:04Z | |
| dc.date.available | 2017-01-30T10:47:04Z | |
| dc.date.created | 2010-03-02T20:02:03Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | Chai, Kevin and Potdar, Vidyasagar and Dillon, Tharam. 2009. Content quality assessment related frameworks for social media, in Osvaldo Gervasi, David Taniar, Beniamino Murgante, Antonio Lagana, Youngson Mun and Marina Gavrilova (ed), Lecture notes in computer science. pp. 791-805. Heidelberg: Springer. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/5564 | |
| dc.identifier.doi | 10.1007/978-3-642-02457-3_65 | |
| dc.description.abstract |
The assessment of content quality (CQ) in social media adds a layer of complexity over traditional information quality assessment frameworks. Challenges arise in accurately evaluating the quality of content that has been created by users from different backgrounds, for different domains and consumed by users with different requirements. This paper presents a comprehensive review of 19 existing CQ assessment related frameworks for social media in addition to proposing directions for framework improvements. | |
| dc.publisher | Springer | |
| dc.subject | discussion forums | |
| dc.subject | wikis | |
| dc.subject | social media | |
| dc.subject | weblogs | |
| dc.subject | content quality assessment | |
| dc.title | Content quality assessment related frameworks for social media | |
| dc.type | Book Chapter | |
| dcterms.source.startPage | 791 | |
| dcterms.source.endPage | 805 | |
| dcterms.source.title | Lecture notes in computer science | |
| dcterms.source.isbn | 9783642024566 | |
| dcterms.source.place | Heidelberg | |
| dcterms.source.chapter | 76 | |
| curtin.note |
The original publication is available at : | |
| curtin.department | Digital Ecosystems and Business Intelligence Institute (DEBII) | |
| curtin.accessStatus | Open access | |
| curtin.faculty | Curtin Business School | |
| curtin.faculty | The Digital Ecosystems and Business Intelligence Institute (DEBII) |