Creating, destroying, and restoring value in wikipedia
By R. Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loreen Terveen, John Riedl. 2007
384 citations recorded by the source corpus.
Subfields: Communication, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Robert E. Kraut
- Loreen Terveen
- Dan Cosley
- Aaron L Halfaker
- Amit Sharma
- Filippo Menczer
- Alessandro Flammini
- Cliff Lampe
In Information Systems
- John Riedl
- Loreen Terveen
- Shilad Sen
- Filippo Menczer
- Alessandro Flammini
- Giovanni Luca Ciampaglia
- J. Konstan
- Dan Cosley
Citations in the corpus
- Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “Keywords user behavior; cohorts; computational social science; Reddit; temporal”
- Computational Fact Checking from Knowledge Networks (2015, background): “These findings repre- sent a significant step toward scalable computational fact-checking methods that may one day mitigate the spread of harmful misinformation.”
- MOOCs and the funnel of participation (2013, background): “It has been long noted as a feature of open networks [3, 44, 49], and is also seen in formal education where the activity is online [47].”
- There's No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets (2015, background): “Wikipedia, as many online user-generated content platforms, exhibits a highly skewed user base, with a small fraction of less than 20% of users (often called power users) being responsible for the creation of 80% or more of available content [33, 25, 35].”
- Automatic Vandalism Detection in Wikipedia (2008, background): “In a realistic detection scenario only 5% of all edits in a given time period are from the target class “vandalism” [5].”
- Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction (2016, background): “Versions of this question arise in crowdsourcing (Vuurens et al., 2011), collaborative knowledge generation (Priedhorsky et al., 2007), peer grading in online classrooms (Piech et al., 2013; Kulkarni et al., 2015), aggregation of customer reviews (Harmon, 2004), and the generation/curation of large…”
- Alternative and Activist New Media (2011, neutral): “The authors also found that 42 percent of damage incidents across all Wikipedia page views were “repaired essentially immediately” (Priedhorsky et al., 2007, p. 265).”
- Harnessing the wisdom of crowds in wikipedia: quality through coordination (2008, background): “Studies have found that its content is of comparable quality to traditional encyclopedias [8], and that vandalism and inaccuracies are often reverted within a matter of minutes [19][36][27].”
- Motivations to participate in online communities (2010, background): “Studies of Wikipedia have shown that the majority of contributions are made by a small percentage of the users who have contributed anything to the site [11, 24].”
- Quantifying Engagement with Citations on Wikipedia (2020, neutral): “Wikipedia content quality relies on the work of editors and their gradual improvement of articles [9, 46].”
- Wikipedians are born, not made: a study of power editors on Wikipedia (2009, methodology): “By this time, it has become established that a small proportion of editors account for most of the work done (for example, see [19, 21]) and the value produced [28].”
- WP:clubhouse?: an exploration of Wikipedia's gender imbalance (2011, methodology): “In the current work, we present a scienti.c exploration of the gender imbalance in the English Wikipedia s population of editors.”
- Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010, methodology): “In Wikipedia, a small group of elite editors does the majority of the work [15] and produces the majority of value [22].”
- Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability (2019, background): “Multiple studies have shown that Wikipedia’s content across topics is of a generally high quality[21, 34], that the vast majority of vandalism contributions are quickly corrected [20, 33, 42], and that Wikipedia’s decentralizedprocess for vetting information works effectively even under conditions w”
- Widespread underprovision on Reddit (2013, background): “Studies of Wikipedia [21], Slashdot [16] and eBay [25], for example, all depict flourishing communities that experience some underprovision, yet don’t allow it overwhelm the community.”