Longitudinal Assessment of Reference Quality on Wikipedia
Author:
Affiliation:
1. School of Computing, KAIST, Republic of Korea
2. Wikimedia Foundation, Spain
3. Wikimedia Foundation, United Kingdom
4. KAIST, Republic of Korea
5. IBS, Republic of Korea and KAIST, Republic of Korea
Funder
National Research Foundation
Institute for Basic Science
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543507.3583218
Reference64 articles.
1. Andrew Wyrich Andrew Couts . 2016 . Here are all the "fake news" sites to watch out for on Facebook . Retrieved October 11, 2022 from https://tinyurl.com/yc4xehrr Andrew Wyrich Andrew Couts. 2016. Here are all the "fake news" sites to watch out for on Facebook. Retrieved October 11, 2022 from https://tinyurl.com/yc4xehrr
2. Avro Apache . 2022 . Avro apache docs . Retrieved October 11, 2022 from https://avro.apache.org/docs/current/spec.html Avro Apache. 2022. Avro apache docs. Retrieved October 11, 2022 from https://avro.apache.org/docs/current/spec.html
3. Mediawiki API. 2022 . API Main page . Retrieved October 11, 2022 from https://www.mediawiki.org/wiki/API:Main_page Mediawiki API. 2022. API Main page. Retrieved October 11, 2022 from https://www.mediawiki.org/wiki/API:Main_page
4. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
5. A Topic-Agnostic Approach for Identifying Fake News Pages
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