A content-driven reputation system for the wikipedia

By Thomas A. Adler, Luca de Alfaro. The Web Conference, 2007

498 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Communication, Information Systems

View Paper: https://www.semanticscholar.org/paper/c71e5ec52ed7c639e2ba8467b8bcfe922c195abb

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Citations in the corpus

Knowing What to Believe (when you already know something) (2010, background): “For example, (Zeng et al., 2006) and Wik-itrust (Adler and de Alfaro, 2007) determine trust in a wiki’s text passages from sequences of revisions but lack the claim-level granularity and general applicability of fact-ﬁnders.”
A survey of attack and defense techniques for reputation systems (2009, background): “More recently, reputation systems have been proposed as a means to filter out inauthentic content (pollution) for file-sharing applications [8], a method for selecting usable network resources [9], a means to identify high-quality contributions to Wikipedia [10], and a way to punish [11] or prevent ”
Assuring the quality of volunteered geographic information (2012, background): “Adler and de Alfaro (2007) proposed a reputation system for Wikipedia as a way to evaluate authors' reliability according to the lifespan of their edits.”
Size matters: word count as a measure of quality on wikipedia (2008, background): “Adler and de Alfaro [1] devised similar metrics to quantify the reputation of authors and editors.”
Wikipedians are born, not made: a study of power editors on Wikipedia (2009, methodology): “Adler and Alfaro developed a reputation metric for editors which measured how long an editor’s changes last over time[1].”
Adversarial Web Search (2011, background): “Adler and de Alfaro [6] and Hu et al.”
Creating, destroying, and restoring value in wikipedia (2007, background): “Adler and Alfaro [ 1 ] developed a reputation system for”
Automatically refining the wikipedia infobox ontology (2008, background): “Adler and Alfaro proposed a reputation system for Wikipedia which checks whether users’ edits are pres erved by subsequent authors [4].”
Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, background): “Adler and de Alfaro [2] introduce the concept of Edit Distance in the context of vandalism detection on Wikipedia.”
Language-Aware Truth Assessment of Fact Candidates (2014, methodology): “WikiTrust (Adler and Alfaro, 2007) is a content-aware but domain-specific method.”
Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes (2016, background): “Common to all these approaches is that editor reputation has good predictive value of article quality: edits performed by low-reputation authors have a larger probability of being of poor quality [2].”
Some Like it Hoax: Automated Fake News Detection in Social Networks (2017, background): “Adler and de Alfaro [14] developed a content-driven user reputation system for Wikipedia, allowing to predict the quality of new contributions.”