Power of the Few vs. Wisdom of the Crowd: Wikipedia and the Rise of the Bourgeoisie

By Aniket Kittur, Ed H. Chi, Bryan A. Pendleton, Bongwon Suh. 2006

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Citations in the corpus

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “Only users for whom finding and submitting comments is relatively easy or relatively valuable are likely to be frequent submitters or “power users” [31,48].”
Creating, destroying, and restoring value in wikipedia (2007, background): “Categories and Subject Descriptors H.5.3 [Group and Organization Interfaces]: Computersupported cooperative work, web-based interaction General Terms Human factors Keywords Wiki, Wikipedia, collaboration, vandalism, damage”
Don't look now, but we've created a bureaucracy: the nature and roles of policies and rules in wikipedia (2008, background): “” [28] Wikipedia is characterized by many as emergent, complex, messy, informal, popularly uncontrolled, nonorganizational, and radically different from traditional organizations [5, 11, 22, 42, 52, 53].”
Analyzing patterns of user content generation in online social networks (2009, background): “us social network was also reported in [12].”
There's No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets (2015, background): “[25] suggests that Wikipedia was indeed initially driven by the ‘power of the few’ top contributors, rather than being the result of an actual ‘wisdom of the crowd’; this has however been shifting over time, with a larger variety of users committing contributions in recent years.”
Volunteered Geographic Information: the nature and motivation of produsers (2009, background): “, (Anthony et al, 2005); (Kittur et al., 2007); (Ortega et al.”
Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010, background): “In Wikipedia, a small group of elite editors does the majority of the work [15] and produces the majority of value [22].”
Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification' (2015, methodology): “For example, the algorithm EdgeRank is used by Facebook to weight ‘likes’ and modify an individual’s Facebook page as a result, therefore manipulating the ‘wisdom of the crowd’ (Kittur et al. 2007).”
Using a model of social dynamics to predict popularity of news (2010, background): “It is present in inequality of popularity of cultural artifacts, such as books and music albums [21], and also manifests itself in a variety of online behaviors, including tagging, where a few documents are tagged much more frequently than others, collaborative editing on wikis [13], and general soc”
Cooperation and quality in wikipedia (2007, background): “Wikipedia sexponential [33] growth since its inception inJanuary2001hasbeen enabledbythewiki interface[18], which allows any user to easily modify anyarticle or to create new articles.”
Harnessing the wisdom of crowds in wikipedia: quality through coordination (2008, background): “account for less than 5% of all editing activity [21].”
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks (2023, background): “This results in a unified, prompt-based representation for diverse vision tasks, effectively addressing the challenges of limited comprehensive data and the absence of a unified architecture.”