INSTITUTIONAL DIGITAL REPOSITORY

Browsing by Subject "Wikipedia"

Browsing by Subject "Wikipedia"

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  • Characterizing the triggering phenomenon in wikipedia 
    Chhabra, A.; Iyengar, S.R.S. (2018-12-29)
    Collaborative knowledge building achieves better results than individual knowledge building essentially due to the triggering phenomenon taking place among the users in a collaborative setting. Although the literature ...
  • Dynamics of edit war sequences in wikipedia 
    Chhabra, A.; Kaur, R.; Iyengar, S.R.S. (2021-07-03)
    In any collaborative system, cooperation and conflicts exist together. While in some cases these conflicts improve the output, they also lead to increased overhead. This requires examining the dynamics of these conflicts ...
  • Implicit visual attention feedback system for wikipedia users 
    Dubey, N.; Iyengar, S. R. S.; Verma, A. A.; Setia, S. (2021-11-15)
    The complex collaborative structure of Wikipedia has attracted researchers from various domains, such as social networks, humancomputer interaction, and collective intelligence. Yet, a few focus on the readers’ perception ...
  • KDAP: an open source toolkit to accelerate knowledge building research 
    Verma, A. A.; Setia, S.; Iyengar, S.R.S.; Dubey, N. (2021-07-03)
    With the success of crowdsourced portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. Even though ...
  • An open source library to parse and analyze online collaborative knowledge-building portals 
    Verma, A.A.; Iyengar, S.R.S.; Setia, S.; Dubey, N. (2022-08-16)
    With the success of collaborative knowledge-building portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. ...
  • Should Wikipedia and Quora collaborate? 
    Chhabra, A.; Iyengar, S.R.S (2016-11-18)
    Although Wikipedia has been one of the most successful experiments in crowdsourced knowledge building so far, recent statistics show that the growth rate of Wikipedia has decreased. Does it indicate ...
  • Structural analysis of wikigraph to investigate quality grades of wikipedia articles 
    Chhabra, A.; Srivastava, S.; Iyengar, S. R. S.; Saini, P. (2021-07-21)
    The quality of Wikipedia articles is manually evaluated which is time inefficient as well as susceptible to human bias. An automated assessment of these articles may help in minimizing the overall time and manual errors. ...
  • Synergising the collective knowledge building portals 
    Setia, S. (2022-02-07)
    The growth of crowdsourced knowledge-building portals such as Wikipedia, Quora, and Stack Exchange has been explosive in recent years, as evidenced by the enormous amounts of knowledge the portals currently possess. ...
  • Tracing the factoids: the anatomy of information Re-organization in wikipedia articles 
    Verma, A. A.; Dubey, N.; Iyengar, S. R. S.; Setia, S. (2021-07-21)
    Wikipedia articles are known for their exhaustive knowledge and extensive collaboration. Users perform various tasks that include editing in terms of adding new facts or rectifying some mistakes, looking up new topics, ...
  • Who writes wikipedia?: an investigation from the perspective of ortega and newton hypotheses 
    Chhabra, A.; Iyengar, S.R.S. (2021-07-03)
    In any collaborative system, people do not contribute equally. This is particularly observed to be true for systems seeking to gather contributions from a large, diverse group of people. In such settings, it is seen ...
  • WikiGaze: Gaze-based personalized summarization of wikipedia reading session 
    Dubey, N.; Setia, S.; Verma, A. A.; Iyengar, S.R.S. (2021-07-02)
    Wikipedia is an open-content encyclopedia that receives billions of page views per month. It has been observed that in a single reading session, Wikipedia users visit multiple articles. To reduce the problems of overload ...
  • WiTPy: a toolkit to parse and analyse wikipedia talk pages 
    Verma, A. A.; Iyengar, S.R.S.; Gandhi, N. (2021-06-22)
    In this article, we propose an opensource toolkit to extract, parse, and analyze the Wikipedia talk pages. The core parser uses a tree-based approach to parse the unstructured comments and a JSON(JavaScript Object ...