Home
Best Conferences - Computer Science
14th International ACM Conference on Web Science 2022 (WebSci’22)

14th International ACM Conference on Web Science 2022 (WebSci’22) (WebSci)

Name: Web Science
Start: 2022-06-26
End: 2022-06-29
Location: Barcelona

Location: Barcelona , Spain

Conference dates: 6/26/2022 - 6/29/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	158	78	86	17

Call for Papers

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 and 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.

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects.

Template
All papers should adopt the current “two-column” ACM SIG Conference proceedings template (acmart.cls and using \documentclass[sigconf,authordraft]{acmart}). 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.

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com, a leading platform renowned for providing reliable data and analytics on scientific contributions across all major academic disciplines since 2014. The ranking is founded upon a rigorous evaluation process designed to ensure objectivity, depth, and integrity in the measurement of conference impact.

The position of each conference within this ranking is determined using a unique bibliometric score developed by Research.com. This score incorporates both the estimated h-index and the number of distinguished scientists who have participated in each conference over the last three years, offering a nuanced perspective on the scholarly influence and prestige associated with each event.

Impact Score values presented here have been gathered as of 2024-11-27, providing the most up-to-date and relevant insight into the status of Computer Science conferences worldwide. The preparation of this ranking entailed a detailed examination and rigorous inspection process, which involved evaluating more than 2,742 conferences. These were selected following the meticulous review of over 148,739 scientific documents published in the preceding three years, contributions made by a cohort of 13,184 leading and highly respected scientists in the field.

This ranking stands as an authoritative resource for academics, researchers, and professionals seeking insight into the leading venues for scientific exchange in Computer Science, reflecting the collective judgment of domain experts and objective bibliometric analysis. Further information outlining the methodology employed in computing the ranking scores is available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at Web Science (based on the number of publications) are:

Stanley W. H. Cowley (132 papers) absent at the last edition,
Jovan Milosevic (79 papers) absent at the last edition,
Mark Lester (76 papers) absent at the last edition,
Jay Roberts (75 papers) absent at the last edition,
Todd Adams (74 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Web Science (based on the number of publications) are:

State University of Campinas (2045 papers) absent at the last edition,
University of Leicester (1717 papers) absent at the last edition,
Sao Paulo State University (460 papers) absent at the last edition,
University of São Paulo (329 papers) absent at the last edition,
Imperial College London (220 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.46% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.06% of all publications and 72.15% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

For students interested in expanding their expertise in computer science, online degree programs offer flexible and affordable options. One popular route is pursuing the cheapest masters in data science, which equips graduates with advanced analytical skills that are highly sought after in industries like finance, healthcare, and marketing.

Another growing field is user experience and user interface design. A ui ux masters degree online helps students create intuitive digital products and improve customer engagement, making it a valuable pathway for those who blend creativity with technology.

Specialized programs such as a masters in cryptocurrency provide in-depth knowledge of blockchain technology and fintech innovations, preparing graduates to thrive in rapidly evolving financial sectors.

For those focused on cutting-edge AI developments, an applied artificial intelligence bachelor offers foundational skills applicable to machine learning, robotics, and automation careers. Together, these online degree pathways open diverse opportunities within the expansive tech landscape.