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Using behaviour analysis to detect cultural aspects in social web systems
| Content Provider | ACM Digital Library |
|---|---|
| Author | Rowe, Matthew |
| Abstract | The evolution of the World Wide Web into a social form has provided end users with a plethora of information sources driven by community interactions and the emerging need to share information with one's peers. To date, the dynamics of social web systems, such as Twitter and Yahoo! Answers, and their differences has largely been assessed through commentary and theoretical discussion. In this talk I will provide concrete evidence of cultural differences between such systems. I will first describe the thesis of micro-cultures where distinct forms of social systems - i.e. question-answering systems, microblogging platforms and community discussion forums - exhibit idiosyncratic traits, before moving on to provide empirical evidence of the distinction between social web systems and their dynamics. For this latter part several differing types of social web systems are analysed to identify: a) the disparate nature of user behaviour; b) the differences in how attention to content is maximised on such systems, and c) incongruous community role compositions. Through such exploration key micro-cultures are detected that can be used to characterise distinct social web systems. |
| Starting Page | 9 |
| Ending Page | 10 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450309622 |
| DOI | 10.1145/2064448.2064466 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-10-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Micro-cultures Web systems Social web |
| Content Type | Text |
| Resource Type | Article |
