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whoVIS: Visualizing Editor Interactions and Dynamics in Collaborative Writing Over Time

Authors:

Fabian Flöck,

Maribel AcostaAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 191 - 194

https://doi.org/10.1145/2740908.2742846

Published: 18 May 2015 Publication History

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Abstract

The visualization of editor interaction dynamics and provenance of content in revisioned, collaboratively written documents has the potential to allow for more transparency and intuitive understanding of the intricate mechanisms inherent to collective content production. Although approaches exist to build editor interactions from individual word changes in Wikipedia articles, they do not allow to inquire into individual interactions, and have yet to be implemented as usable end-user tools.

We thus present whoVIS, a web tool to mine and visualize editor interactions in Wikipedia over time. whoVIS integrates novel features with existing methods, tailoring them to the use case of understanding intra-article disagreement between editors. Using real Wikipedia examples, our system demonstrates the combination of various visualization techniques to identify different social dynamics and explore the evolution of an article that would be particularly hard for end-users to investigate otherwise.

References

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[2]

F. Flöck and M. Acosta. WikiWho: Precise and efficient attribution of authorship of revisioned content. In Proc. of Int'l. Conf. on World Wide Web, pages 843--854, 2014.

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S. Maniu, B. Cautis, and T. Abdessalem. Building a signed network from interactions in Wikipedia. In Databases and Social Networks, pages 19--24, 2011.

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B. Suh, E. H. Chi, A. Kittur, and B. A. Pendleton. Lifting the veil: Improving accountability and social transparency in Wikipedia with Wikidashboard. In Proc. of Conf. on Human Factors in Computing Systems, pages 1037--1040, 2008.

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B. Suh, E. H. Chi, B. A. Pendleton, and A. Kittur. Us vs. them: Understanding social dynamics in wikipedia with revert graph visualizations. In Visual Analytics Science and Technology, pages 163--170, 2007.

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Cited By

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Flöck FUlloa RAcosta M(2024)Chapter 7. Live exploration of Wikipedia editing dynamics with visual analyticsInvestigating Wikipedia10.1075/scl.121.07flo(178-204)Online publication date: 25-Oct-2024
https://doi.org/10.1075/scl.121.07flo
Laniado DMauri MBorra E(2024)Chapter 6. Exploring the evolution of Wikipedia articles through ContropediaInvestigating Wikipedia10.1075/scl.121.06lan(156-177)Online publication date: 25-Oct-2024
https://doi.org/10.1075/scl.121.06lan
Guo YHan QLou YWang YLiu CYuan X(2023)Edit-History Vis: An Interactive Visual Exploration and Analysis on Wikipedia Edit History2023 IEEE 16th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis56936.2023.00025(157-166)Online publication date: Apr-2023
https://doi.org/10.1109/PacificVis56936.2023.00025
Show More Cited By

Index Terms

whoVIS: Visualizing Editor Interactions and Dynamics in Collaborative Writing Over Time
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Flöck FUlloa RAcosta M(2024)Chapter 7. Live exploration of Wikipedia editing dynamics with visual analyticsInvestigating Wikipedia10.1075/scl.121.07flo(178-204)Online publication date: 25-Oct-2024
https://doi.org/10.1075/scl.121.07flo
Laniado DMauri MBorra E(2024)Chapter 6. Exploring the evolution of Wikipedia articles through ContropediaInvestigating Wikipedia10.1075/scl.121.06lan(156-177)Online publication date: 25-Oct-2024
https://doi.org/10.1075/scl.121.06lan
Guo YHan QLou YWang YLiu CYuan X(2023)Edit-History Vis: An Interactive Visual Exploration and Analysis on Wikipedia Edit History2023 IEEE 16th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis56936.2023.00025(157-166)Online publication date: Apr-2023
https://doi.org/10.1109/PacificVis56936.2023.00025
Subramanian SPushparaj PLiu ZLu A(2019)Explainable Visualization of Collaborative Vandal Behaviors in Wikipedia2019 IEEE Symposium on Visualization for Cyber Security (VizSec)10.1109/VizSec48167.2019.9161504(1-5)Online publication date: Oct-2019
https://doi.org/10.1109/VizSec48167.2019.9161504
Liu ZLu A(2019)Explainable Visualization for Interactive Exploration of CNN on Wikipedia Vandal Detection2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9006128(2354-2363)Online publication date: Dec-2019
https://doi.org/10.1109/BigData47090.2019.9006128
Khan IHussain SGul HShahid MJamal MBinder C(2019)An Empirical Study to Predict the Quality of Wikipedia ArticlesAgency, Freedom and Choice10.1007/978-3-030-16187-3_47(485-492)Online publication date: 30-Mar-2019
https://doi.org/10.1007/978-3-030-16187-3_47
Das M(2018)Understanding Collaborative Writing Practices of People with Visual ImpairmentsProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3277807(1744-1749)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3277807

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Negotiating Cultural Values in Social Media: A Case Study from Wikipedia

Social capital increases efficiency of collaboration among Wikipedia editors

Comparing Tangible and Multi-touch Interaction for Interactive Data Visualization Tasks

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