A survey of revenue sharing social software's systems
In this paper we survey 21 different revenue sharing social software based websites and analyze the approaches that these websites have taken in sharing its revenue. We investigate the revenue sharing algorithms if they are disclosed as well as outline the anti-fraud mechanism implemented by these w...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Melbourne University
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/32817 |
| _version_ | 1848753769107423232 |
|---|---|
| author | Chai, Kevin Potdar, Vidyasagar Chang, Elizabeth |
| author2 | Mark Rouncefield |
| author_facet | Mark Rouncefield Chai, Kevin Potdar, Vidyasagar Chang, Elizabeth |
| author_sort | Chai, Kevin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper we survey 21 different revenue sharing social software based websites and analyze the approaches that these websites have taken in sharing its revenue. We investigate the revenue sharing algorithms if they are disclosed as well as outline the anti-fraud mechanism implemented by these websites to avoid forgery. The sudden emergence of revenue sharing websites shows the importance of user generated content and the users who play a major role in the success of social software websites. |
| first_indexed | 2025-11-14T08:29:46Z |
| format | Conference Paper |
| id | curtin-20.500.11937-32817 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:29:46Z |
| publishDate | 2007 |
| publisher | Melbourne University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-328172022-11-21T05:19:41Z A survey of revenue sharing social software's systems Chai, Kevin Potdar, Vidyasagar Chang, Elizabeth Mark Rouncefield Peter Benda Martin Gibbs In this paper we survey 21 different revenue sharing social software based websites and analyze the approaches that these websites have taken in sharing its revenue. We investigate the revenue sharing algorithms if they are disclosed as well as outline the anti-fraud mechanism implemented by these websites to avoid forgery. The sudden emergence of revenue sharing websites shows the importance of user generated content and the users who play a major role in the success of social software websites. 2007 Conference Paper http://hdl.handle.net/20.500.11937/32817 Melbourne University restricted |
| spellingShingle | Chai, Kevin Potdar, Vidyasagar Chang, Elizabeth A survey of revenue sharing social software's systems |
| title | A survey of revenue sharing social software's systems |
| title_full | A survey of revenue sharing social software's systems |
| title_fullStr | A survey of revenue sharing social software's systems |
| title_full_unstemmed | A survey of revenue sharing social software's systems |
| title_short | A survey of revenue sharing social software's systems |
| title_sort | survey of revenue sharing social software's systems |
| url | http://hdl.handle.net/20.500.11937/32817 |