Difference between revisions of "The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia"
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== Overview == | == Overview == | ||
As the community depends more heavily on [[Wikipedia]] as a source of reliable information, the ability to quickly detect and remove detrimental information becomes increasingly important. The longer incorrect or malicious information lingers in a source perceived as reputable, the more likely that information will be accepted as correct and the greater the loss to source [[reputation]]. Authors present The Illiterate Editor (IllEdit), a content-agnostic, metadata-driven classification approach to Wikipedia revert detection. Authors primary contribution is in building a metadata-based feature set for detecting edit quality, which is then fed into a Support Vector Machine for edit classification. By analyzing edit histories, the IllEdit system builds a profile of user behavior, estimates expertise and spheres of knowledge, and determines whether or not a given edit is likely to be eventually reverted. The success of the system in revert detection (0.844 F-measure) as well as its disjoint feature set as compared to existing, content-analyzing vandalism detection systems, shows promise in the synergistic usage of IllEdit for increasing the [[reliability]] of community information. | As the community depends more heavily on [[Wikipedia]] as a source of reliable information, the ability to quickly detect and remove detrimental information becomes increasingly important. The longer incorrect or malicious information lingers in a source perceived as reputable, the more likely that information will be accepted as correct and the greater the loss to source [[reputation]]. Authors present The Illiterate Editor (IllEdit), a content-agnostic, metadata-driven classification approach to Wikipedia revert detection. Authors primary contribution is in building a metadata-based feature set for detecting edit quality, which is then fed into a Support Vector Machine for edit classification. By analyzing edit histories, the IllEdit system builds a profile of user behavior, estimates expertise and spheres of knowledge, and determines whether or not a given edit is likely to be eventually reverted. The success of the system in revert detection (0.844 F-measure) as well as its disjoint feature set as compared to existing, content-analyzing vandalism detection systems, shows promise in the synergistic usage of IllEdit for increasing the [[reliability]] of community information. | ||
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Segall, Jeffrey; Greenstadt, Rachel. (2013). "[[The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia]]".DOI: 10.1145/2491055.2491066. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Segall |first1=Jeffrey |last2=Greenstadt |first2=Rachel |title=The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia |date=2013 |doi=10.1145/2491055.2491066 |url=https://wikipediaquality.com/wiki/The_Illiterate_Editor:_Metadata-Driven_Revert_Detection_in_Wikipedia}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Segall, Jeffrey; Greenstadt, Rachel. (2013). &quot;<a href="https://wikipediaquality.com/wiki/The_Illiterate_Editor:_Metadata-Driven_Revert_Detection_in_Wikipedia">The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia</a>&quot;.DOI: 10.1145/2491055.2491066. | ||
| + | </nowiki> | ||
| + | </code> | ||
Revision as of 10:19, 7 July 2020
Authors | Jeffrey Segall Rachel Greenstadt |
|---|---|
Publication date | 2013 |
DOI | 10.1145/2491055.2491066 |
Links | Original |
The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Jeffrey Segall and Rachel Greenstadt.
Overview
As the community depends more heavily on Wikipedia as a source of reliable information, the ability to quickly detect and remove detrimental information becomes increasingly important. The longer incorrect or malicious information lingers in a source perceived as reputable, the more likely that information will be accepted as correct and the greater the loss to source reputation. Authors present The Illiterate Editor (IllEdit), a content-agnostic, metadata-driven classification approach to Wikipedia revert detection. Authors primary contribution is in building a metadata-based feature set for detecting edit quality, which is then fed into a Support Vector Machine for edit classification. By analyzing edit histories, the IllEdit system builds a profile of user behavior, estimates expertise and spheres of knowledge, and determines whether or not a given edit is likely to be eventually reverted. The success of the system in revert detection (0.844 F-measure) as well as its disjoint feature set as compared to existing, content-analyzing vandalism detection systems, shows promise in the synergistic usage of IllEdit for increasing the reliability of community information.
Embed
Wikipedia Quality
Segall, Jeffrey; Greenstadt, Rachel. (2013). "[[The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia]]".DOI: 10.1145/2491055.2491066.
English Wikipedia
{{cite journal |last1=Segall |first1=Jeffrey |last2=Greenstadt |first2=Rachel |title=The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia |date=2013 |doi=10.1145/2491055.2491066 |url=https://wikipediaquality.com/wiki/The_Illiterate_Editor:_Metadata-Driven_Revert_Detection_in_Wikipedia}}
HTML
Segall, Jeffrey; Greenstadt, Rachel. (2013). "<a href="https://wikipediaquality.com/wiki/The_Illiterate_Editor:_Metadata-Driven_Revert_Detection_in_Wikipedia">The Illiterate Editor: Metadata-Driven Revert Detection in Wikipedia</a>".DOI: 10.1145/2491055.2491066.
