wikiKI 2023

wikiKI 2023

1st workshop on knowledge integrity in Wikipedia and collaborative projects
co-located with HCOMP 2023.

Call for Contributions


Wikipedia has been described as "the last best place on the internet" to keep alive the ideals of collaboration of the early web. Its self-correcting mechanisms, lack of advertising, and open nature have earned it the public trust, rivaling even well-established sources. However, several dangers threaten Wikipedia and require constant work from its community: misinformation and fake news broadcasted by reputable sources, undisclosed paid editing, and coordinated efforts to introduce bias in articles all pose significant challenges to the integrity of the project. Recent developments, such as Large Language models and AI image generation, have sparked the community to enact policies to prevent the generation of potentially misleading content. This workshop explores all aspects of knowledge integrity in Wikipedia and other online collaborative projects. Topics of interest include misinformation, disinformation, and manipulation of information, including detection methods and strategies for combating them. Additionally, the workshop will address issues like trust, reputation, handling controversies, fostering a healthy community environment, and identifying destructive or toxic behavior. Furthermore, the significance of cybersecurity in tackling these issues is integral to the workshop's agenda. wikiKI will bring together scientists studying the socio-technical and collaborative aspects of Wikipedia and other online collaborative projects, providing a forum for academics, practitioners, and community members to discuss the problem of knowledge integrity on online collaborative projects from a socio-technical perspective.

Call for Contributions

We welcome ongoing, completed, and already published work. We will organize the evaluation process in two tracks: Novel Work and Previous Published Work. We will only accept submissions in the form of an extended abstract of two pages. This follows the standard set by conferences like IC2S2 and the Wiki Workshop.

Novel Work Track

Papers will be peer-reviewed by at least two researchers and selected ones will be published in CEUR, unless authors wish to opt out. Papers should outline the main theoretical contribution, data and methods used, findings, and the impact of the work. Authors are strongly encouraged to include figures and/or tables in their submission (note that figures and tables will not count towards the page limit).

Previously Published Work Track

The organizing committee will review extended abstracts based on published papers for relevance to the scope of the workshop and significance. These abstracts will not be included in the proceedings. Suitable paper types include previously published full papers, resource papers, and demo papers.

Submitting a Paper

Papers will be submitted through Openreview: submit. Authors should indicate the intended track by adding "[Novel]" or "[Published]" at the start of the title field in the Openreview submission form.

Important Dates

  • Papers due: Friday, 29th September 2023
  • Notification of accepted papers: Friday, 6th October 2023
  • Workshop date: Thursday 9th November 2023 in Delft, The Netherlands

Submission Guidelines

Submissions must be made in PDF format following the CEUR workshop proceedings style. Submissions are in the form of extended abstracts (max 2 pages), excluding references, tables and figures.


The accepted contributions will be selected for one of the following presentations: (i) an oral presentation (10 minutes + Q&A) or (ii) a poster. The presentation format will be communicated together with the notification of acceptance of the abstract. In order to be included in the program, at least one of the authors must register for the conference.


Please note that this schedule is tentative and may change.




Cristian Consonni

Big Data & Data Science, Eurecat - Centre Tecnològic de Catalunya, Barcelona, Spain

Cristian Consonni, Ph.D., is a research scientist at Eurecat, specializing in Computational Social Science, focusing on analyzing social phenomena via digital platforms. He holds a Ph.D. in Computer Science from the University of Trento, focusing on knowledge extraction from Wikipedia hyperlinks. His involvement with Wikipedia extends beyond research; he has been an active editor since 2007 and part of the Wikimedia community in various roles.

Julian Vicens

Big Data & Data Science, Eurecat - Centre Tecnològic de Catalunya, Barcelona, Spain

Julian Vicens, PhD., is a research scientist specializing in the study of collective behaviour within complex systems applying a combination of computational and participatory methodologies, where science, technology and society converge. He is leading the Computational Social Science research line at Eurecat, contributing his insights and expertise to cutting-edge research applied to gaining a comprehensive understanding of socio-technical systems.

Program Committee



The workshop is co-located at HCOMP 2023 conference in Delft, the Netherlands, particularly in The Faculty of Industrial Design Engineering (IDE) at TU Delft, and the city of Delft. You can find more information on HCOMP 2023 website.