Genre recognition: a model of behaviour

Malcolm Clark, Ian Ruthven

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


This paper studies the behavioural processes involved in the decision-making process when detecting the genre of Wikipedia pages. We analysed qualitative data collected from a study of Wikipedia search behaviour to evaluate the importance of textual features in these decision-making processes. We discuss how and why genre should be included in current information models, including the decision-making processes. We redefine a literary document selection model to demonstrate the decision-making processes and by contrasting the document information elements, criteria, and values by re-framing it in the context of genres within the Wikipedia domain.
Original languageEnglish
Title of host publicationWisdom, Well-Being, Win-Win
Subtitle of host publication19th International Conference, iConference 2024, Changchun, China, April 15–26, 2024, Proceedings
EditorsIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
Place of PublicationCham
ISBN (Electronic)9783031578502
ISBN (Print)9783031578496
Publication statusPublished - 18 Apr 2024

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • genre
  • Wikipedia
  • information behaviour


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