Aitolkyn Baigutanova
Diego Saez-Trumper
ABSTRACT
Information presented in Wikipedia articles must be attributable to reliable published sources in the form of references. This study examines over 5 million Wikipedia articles to assess the reliability of references in multiple language editions. We quantify the cross-lingual patterns of the perennial sources list, a collection of reliability labels for web domains identified and collaboratively agreed upon by Wikipedia editors. We discover that some sources (or web domains) deemed untrustworthy in one language (i.e., English) continue to appear in articles in other languages. This trend is especially evident with sources tailored for smaller communities. Furthermore, non-authoritative sources found in the English version of a page tend to persist in other language versions of that page. We finally present a case study on the Chinese, Russian, and Swedish Wikipedias to demonstrate a discrepancy in reference reliability across cultures. Our finding highlights future challenges in coordinating global knowledge on source reliability.
- Pablo Aragón and Diego Sáez-Trumper. 2021. A preliminary approach to knowledge integrity risk assessment in Wikipedia projects. arXiv preprint arXiv:2106.15940 (2021).Google Scholar
- Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, and Meeyoung Cha. 2023. Longitudinal Assessment of Reference Quality on Wikipedia. In Proceedings of the ACM Web Conference 2023 (Austin, TX, USA) (WWW '23). Association for Computing Machinery, New York, NY, USA, 2831--2839. https://doi.org/10.1145/3543507.3583218Google ScholarDigital Library
- Brent Jaron Hecht. 2013. The mining and application of diverse cultural perspectives in user-generated content. Ph.,D. Dissertation. Northwestern University.Google Scholar
- Sohyeon Hwang and Aaron Shaw. 2022. Rules and Rule-Making in the Five Largest Wikipedias. Proceedings of the International AAAI Conference on Web and Social Media, Vol. 16, 1 (May 2022), 347--357. https://doi.org/10.1609/icwsm.v16i1.19297Google ScholarCross Ref
- Włodzimierz Lewoniewski, Krzysztof Wke cel, and Witold Abramowicz. 2017. Analysis of References Across Wikipedia Languages. In Information and Software Technologies, Robertas Damavs evivc ius and Vilma Mikavs yt.e (Eds.). Springer International Publishing, Cham, 561--573.Google Scholar
- Włodzimierz Lewoniewski, Krzysztof Wke cel, and Witold Abramowicz. 2023. Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information. In Information Technology for Management: Approaches to Improving Business and Society, Ewa Ziemba, Witold Chmielarz, and Jarosław Wka tróbski (Eds.). Springer Nature Switzerland, Cham, 48--67.Google Scholar
- Hause Lin, Jana Lasser, Stephan Lewandowsky, Rocky Cole, Andrew Gully, David Rand, and Gordon Pennycook. 2022. High level of agreement across different news domain quality ratings. (2022).Google Scholar
- Sverrir Steinsson. 2023. Rule Ambiguity, Institutional Clashes, and Population Loss: How Wikipedia Became the Last Good Place on the Internet. American Political Science Review (2023), 1--17.Google Scholar
- Rodolfo Vieira Valentim, Giovanni Comarela, Souneil Park, and Diego Sáez-Trumper. 2021. Tracking knowledge propagation across wikipedia languages. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 1046--1052.Google ScholarCross Ref
- English Wikipedia. 2023 a. List of Wikipedias Retrieved May 26, 2023 fromGoogle Scholar
- English Wikipedia. 2023 b. Reliable sources Noticeboard. https://en.wikipedia.org/wiki/Wikipedia:Reliable_sources/Noticeboard Retrieved May 26, 2023 fromGoogle Scholar
- English Wikipedia. 2023 c. Verifiability Policy. https://en.wikipedia.org/wiki/Wikipedia:Verifiability Retrieved May 26, 2023 fromGoogle Scholar
- English Wikipedia. 2023 d. Wikipedia: Reliable source, Perennial Source. https://en.wikipedia.org/wiki/Wikipedia:Reliable_sources/Perennial_sources Retrieved May 26, 2023 fromGoogle Scholar
- Puyu Yang and Giovanni Colavizza. 2022a. A Map of Science in Wikipedia. In Companion Proceedings of the Web Conference 2022. 1289--1300.Google ScholarDigital Library
- Puyu Yang and Giovanni Colavizza. 2022b. Polarization and reliability of news sources in Wikipedia. arXiv preprint arXiv:2210.16065 (2022).Google Scholar
- Xiang Zheng, Jiajing Chen, Erjia Yan, and Chaoqun Ni. 2023. Gender and country biases in Wikipedia citations to scholarly publications. Journal of the Association for Information Science and Technology, Vol. 74, 2 (2023), 219--233.Google ScholarCross Ref
Index Terms
- A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
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