Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
By Susan L. Bryant, Andrea Forte, Amy S. Bruckman. 2005
784 citations recorded by the source corpus.
Subfields: Communication, Computer Science Applications, 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
- Sarah Vieweg
- Leysia Palen
- Kate Starbird
- Loreen Terveen
- Robert E. Kraut
- Aaron L Halfaker
- Shaul Oreg
- Amanda Lee Hughes
In Computer Science Applications
- Lydia B. Chilton
- John Riedl
- Michael S. Bernstein
- Shaul Oreg
- Robert E. Kraut
- Rob Miller
- Joachim Schroer
- Aaron L Halfaker
In Information Systems
- John Riedl
- Loreen Terveen
- Lydia B. Chilton
- Amit Sharma
- Shyong K. Lam
- Aaron L Halfaker
- J. Konstan
- Dan Cosley
Citations in the corpus
- Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “This interaction with the state of a community can confound conclusions about people’s behavior, because the differences one observes may simply due to changes in the community, rather than any significant change in the outcome variable of interest or the user population.”
- Exploring motivations for contributing to open source initiatives: The roles of contribution context and personal values (2008, background): “The altruism case mirrors, to some extent, the other differences discussed in the last two sections across the two contexts: content contributors are often knowledgeable people who want to share what they know with the community (Bryant et al., 2005).”
- Creating, destroying, and restoring value in wikipedia (2007, background): “Further, there is a special kind of edit, called a revert: reverting an article means restoring its content to some previous revision, removing the effects of intervening edits.”
- Wikipedians are born, not made: a study of power editors on Wikipedia (2009, background): “Of Talk pages and Wikipedians, Bryant writes “Although none of the interviewees described initial encounters with Wikipedia that involved discussion pages or page histories, these features became deeply integrated into their routine activities on the site” [4].”
- There's No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets (2015, background): “Many authors refer to the 80-20 rule-ofthumb (or Pareto principle) and define ‘power users’ those users (typically 20% or less of the whole user base) that collectively produce more than 80% of the content [4, 33, 25].”
- Information quality work organization in wikipedia (2008, neutral): “Bryant, Forte, and Bruckman (2005) interviewed nine editors to identify how the sociotechnical structures mediate and shape user activity in Wikipedia and how the user's motivation and roles evolve over time.”
- Social Barriers Faced by Newcomers Placing Their First Contribution in Open Source Software Projects (2015, background): “Those that qualitatively uncovered barriers [6,18,19,20,47,78] missed research questions or objectives related to the identification of first contribution barriers faced by newcomers.”
- Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010, background): “[3] interviewed a number of experienced Wikipedia editors and identified a broadening of interests and gradual assumption of community maintenance activities.”
- Understanding user participation in online communities: A systematic literature review of empirical studies (2015, background): “Similarly, Bryant et al. (2005) noticed that when Wikipedians became drawn into the community, their perception of the site changed and they started to view it as a community rather than a collection of articles.”
- The impact of membership overlap on the survival of online communities (2013, background): “Most online communities have a core-peripheral structure (Bryant et al. 2005, Preece and Shneiderman 2009).”
- TurKit: human computation algorithms on mechanical turk (2010, background): “Individual systems have also been studied and explored in academic literature, including Games with a Purpose [1], Wikipedia [9] [15], and Mechanical Turk [7] [8] [12] [13] [14].”
- Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, background): “Recent research in this area has in addition shown that people contribute because of ideological reasons and even more so, because it is fun [5, 25].”
- Socialization tactics in wikipedia and their effects (2010, background): “[5] conducted telephone interviews with committed Wikipedia editors about their experiences, finding that as the editors moved from peripheral to full participation, their goals, tools, and perceptions of the community changed (e.”
- Chatter on the red: what hazards threat reveals about the social life of microblogged information (2010, background): “We do not yet know how much is deliberately harmful, though the presumption that much of it is misleading (deliberately or otherwise) is incorrect [3, 13].”
- Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English (2019, background): “All three corpora consist exclusively of text written in the late 20th or 21st centuries; furthermore, Wikipedia and news text are subject to restrictive stylistic constraints (Bryant et al., 2005).”
- Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling (2019, background): “…exclusively of text written since the late 20th century; furthermore, Wikipedia and newstext are subject to restrictive stylistic constraints (Bryant et al., 2005).2 It is therefore crucial to determine whether these pretrained models are transferable to texts from other periods or other…”