Understanding Search Behavior Bias in Wikipedia
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37249-0_11
Reference24 articles.
1. Arora, A., Gerlach, M., Piccardi, T., García-Durán, A., West, R.: Wikipedia reader navigation: when synthetic data is enough. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, pp. 16–26. WSDM 2022, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3488560.3498496
2. Baeza-Yates, R.: Bias on the web. Commun. ACM 61(6), 54–61 (2018). https://doi.org/10.1145/3209581
3. Dimitrov, D., Lemmerich, F., Flöck, F., Strohmaier, M.: Query for architecture, click through military: comparing the roles of search and navigation on wikipedia. In: Proceedings of the 10th ACM Conference on Web Science, pp. 371–380. WebSci 2018, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3201064.3201092
4. Elmimouni, H., Forte, A., Morgan, J.: Why people trust wikipedia articles: Credibility assessment strategies used by readers. In: Proceedings of the 18th International Symposium on Open Collaboration. OpenSym 2022, Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3555051.3555052
5. Homma, R., Soejima, K., Yoshida, M., Umemura, K.: Analysis of user dwell time on non-news pages. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 4333–4338 (2018). https://doi.org/10.1109/BigData.2018.8621950
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