WEBSCI 2022 : 14th ACM WebScience Conference 2022
Call For Papers
Web-based technologies have proven to be playing a vital role in enabling us to cope with the global pandemic. Having experienced two years of “crisis,” many new norms have been forming, both socially and technologically. While some people long to return to how things were before the pandemic, others are questioning whether that is a state worth returning to. The main theme of this year’s conference, therefore, is the old vs. the new normal. Even though the conference accepts a wide range of topics (see below), papers discussing this overall issue would be particularly welcomed.
Web Science is an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society, and vice versa. As such, the field of Web Science is particularly well situated to address pressing issues of our time.
Methodologically, Web Science is a discipline that is agnostic to specific methods. We welcome quantitative, qualitative and mixed methods research, including methods from the social sciences and computer science. In addition, we welcome work that explores the ethics of Web-based data collection and research and those which have a broader perspective on the Web and that combine analyses of Web data and other types of data (e.g., from surveys or interviews) to better understand user behaviour (i.e., online and offline).
Building on our theme for 2022, we especially welcome contributions on:
Successful cases of interdisciplinary and cross-disciplinary Web research
Trends in globalisation, fragmentation, rejoining, and Balkanisation of the Web
Automation and AI in all its manifestations relevant to the Web
Interrogate questions of discrimination, representation and fairness
Bring lenses such as intersectionality or design justice to questions of marginalisation and inequality
Ethical challenges of technologies, data, algorithms, platforms, and people in the Web
Modeling Web-related structures, data, users and behaviours
Impact of AI an
d machine learning on the development of Web Science
Detecting, preventing and predicting anomalies in Web data (e.g., fake content, spam, algorithmic and data biases)
Data curation, Web archives and stewardship in Web Science
Safeguarding and governance of the Web, including anonymity, security and trust
Temporal and spatial dimensions of the Web as a repository of information
The architecture and philosophy of the Web
Social machines, crowd computing and collective intelligence
Analysis and modeling of human vs. automatic behaviour (e.g., bots) and their influence on the structure of the Web and responding behaviour
Critical analyses of the Web and Web technologies
Web economics, social entrepreneurship, and innovation
Analysis of online social and information networks
Legal issues including rights and accountability for AI actors
Humanities, arts, and culture on the Web
Inclusion, literacy and the digital divide
Politics and social activism on the Web
Online education and remote learning
Health and well-being online
Format of the submissions
Please upload your submissions via EasyChair.
There are two submission formats:
Full paper should be between 6 and 10 pages (inclusive of references, appendices, etc.). Full papers typically report on mature and completed projects.
Short papers should be up to 5 pages (inclusive of references, appendices, etc.). Short papers will be primarily reporting on high-quality ongoing work not mature enough for a full-length publication.
All accepted submissions will be assigned an oral presentation (of two different lengths). The option of additional poster presentations and other details will be decided in due time depending on the technical setup and other factors.
All authors of accepted papers (including those who opt out of proceedings) are expected to present their work (in-person or virtually) at the conference.
Proceedings will be published open access through ACM’s OpenTOC system.
All papers should adopt the current ACM SIG Conference proceedings template (acmart.cls). Please submit papers as PDF files using the ACM template, either in Microsoft Word format or with the ACM LaTeX template on Overleaf platform which is available as ACM Conference Proceedings “Master” Template.
All contributions will be judged by the Program Committee upon rigorous peer review standards for quality and fit the conference, by at least three referees. Additionally, each paper will be assigned to a Senior Program Committee member to ensure review quality.
Review is double-blind
Please anonymize your submission: do not put the author(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowledgements in papers submitted for review. References to authors’ own prior relevant work should be included, but should not specify that this is the authors’ own work. It is up to the authors’ discretion how much to further modify the body of the paper to preserve anonymity. The requirement for anonymity does not extend outside of the review process, e.g. the authors can decide how widely to distribute their papers over the Internet. Even in cases where the author’s identity is known to a reviewer, the double-blind process will serve as a symbolic reminder of the importance of evaluating the submitted work on its own merits without regard to the authors’ reputation.
For authors who wish to opt out of publication proceedings, this option will be made available upon acceptance. This will encourage the participation of researchers from the social sciences that prefer to publish their work as journal articles.
Programme Committee Chairs
Oshani Seneviratne (Rensselaer Polytechnic Institute)
Ingmar Weber (Qatar Computing Research Institute)
Taha Yasseri (University College Dublin)
For any questions and queries regarding the paper submission, please contact the chairs at email@example.com