Size matters: word count as a measure of quality on wikipedia
By Joshua Blumenstock. The Web Conference, 2008
326 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c6f61f344c919493886bf67d0e64e0242ae83547
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Srijan Kumar
- John Riedl
- Charu C. Aggarwal
- Robert West
- Shilad Sen
- Loreen Terveen
- Jure Leskovec
- Filippo Menczer
Citations in the corpus
- Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes (2016, background): “Such metrics are often based on textual properties of the article such as word counts [3], or on the edit history of the article [8, 41]; most approaches, however, focus on reputation mechanisms and the interactions between articles and their contributors [23, 18, 44].”
- Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, background): “In particular, as research suggests that the length of an article indicates its quality – basically the longer, the better [9].”
- WP:clubhouse?: an exploration of Wikipedia's gender imbalance (2011, background): “While length is a very simple metric, existing research shows that it is an excellent predictor of a Wikipedia article’s assessment level [3, 32], which is a community-assigned rating of an article’s overall quality.”
- First Women, Second Sex: Gender Bias in Wikipedia (2015, background): “13). Addressing the gender gap from a content perspective may help to improve the quality and value of the content. Currently, focus on quality in Wikipedia has been about predicting article quality (Blumenstock, 2008; Anderka, Stein, and Lipka, 2012; Flekova, Ferschke, and Gurevych, 2014). However,”