Name
Abstract | ||
|---|---|---|
Wiki users receive very little guidance on the trustworthiness of the information they find. It is difficult for them to determine how long the text in a page has existed, or who originally authored the text. It is also difficult to assess the reliability of authors contributing to a wiki page. In this paper, we create a set of trust indicators and metrics derived from phrasal analysis of the article revision history. These metrics include author attribution, author reputation, expertise ratings, article evolution, and text trustworthiness. We also propose a new technique for collecting and maintaining explicit article ratings across multiple revisions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1822258.1822291 | Int. Sym. Wikis |
Keywords | Field | DocType |
text trustworthiness,expertise rating,author reputation,author attribution,phrasal analysis,article evolution,multiple revision,explicit article rating,article revision history,wiki page,wiki trust metrics,wiki user,attribution,reputation,collaboration | World Wide Web,Information retrieval,Shingling,Trustworthiness,Computer science,Attribution,Reputation | Conference |
Citations | PageRank | References |
11 | 0.71 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Kramer | 1 | 17 | 1.35 |
| Andy Gregorowicz | 2 | 11 | 0.71 |
| Bala Iyer | 3 | 1024 | 72.28 |