View source for Research:Understanding Curious and Critical Readers

== Results==
'''[2022-04]''' a first exploratory analysis to understand how readers engage with the version-history and the talk-page of an article Detailed analysis: [[Research:Understanding_Curious_and_Critical_Readers/Reader_interactions_with_talk-pages_and_version-history]]

'''[2022-07]''' a first exploratory analysis of the knowledge networks of Wikipedia readers. Previous studies (KNOT) have shown how knowledge networks capture different aspects of curiosity of readers. We find that the knowledge networks of Wikipedia readers are structurally very similar to the ones observed in the KNOT-study. We are therefore more confident that this approach can be generalized to the general  population of Wikipedia readers. Detailed analysis: [[Research:Understanding Curious and Critical Readers/Knowledge Networks of Wikipedia Readers]]

'''[2023-06]''' We performed a more thorough analysis of the knowledge networks of Wikipedia readers. In particular we extend the previous exploratory analysis in several ways: i) we account for systematic differences in the average size of the networks by generating a biased sample via propensity-score matching which leads to more comparable populations of networks; ii) comparing the knowledge networks of readers from different countries and language versions; iii) provising a more quantitative and systematic comparison of the networks revealing a better picture of the similarities and nuanced differences. Taken together, this analysis provides the first replication-type study for the network-based approach to capture curiosity of readers in Wikipedia. Specifically, we not only show the consistency in the measurement of knowledge networks between lab-based studies and observations "in the wild", but also identify new aspects in these knowledge networks such as previously hypothesized curiosity types.  More details: [[Research:Understanding Curious and Critical Readers/Detailed analysis of knowledge networks of wikipedia readers]]

'''[2023-12]''' We wrote a paper ''Architectural styles of curiosity in global Wikipedia mobile app readership''<ref name=":0">Zhou, D., Patankar, S., Lydon-Staley, D. M., Zurn, P., Gerlach, M., & Bassett, D. S. (2023). ''Architectural styles of curiosity in global Wikipedia mobile app readership''. https://doi.org/10.31234/osf.io/szuyj </ref> which is available as a [https://osf.io/preprints/psyarxiv/szuyj preprint]. We replicate previous findings characterizing different curiosity types, which allows us to  generalize the framework of knowledge networks to the larger population of readers in Wikipedia. We uncover systematic differences across countries and languages associated with population-level indicators of well-being, education, and equality, highlighting the need to take into account local context of readers.