The Web Conference is the premier conference focused on exploring the current state and the evolution of the Web through the lens of different scientific disciplines, including computing science, social science, economics and political sciences.

The scope of the conference is the Web and how it has crucially enabled new research and applications. While the Web feeds on and is part of a broader interdisciplinary ecosystem, including technologies such as machine learning, natural language processing, computer vision, and many others, it remains a distinct scholarly field, with its own research methods, tools, and challenges. As such, submissions that merely use one or another Web artifact — e.g., a dataset or a Web Application Programmer Interface (API) or a social network — rather than answering a specific Web-related scientific research challenge, are out of scope of the conference and will be rejected early during the reviewing process (“desk-rejected”).

    A typical Web Conference paper should have explicit focus on one of the following:
        understanding, evaluating and improving the Web as a technical infrastructure; including core Web technologies, standards, and platforms;
        understanding, evaluating and improving the Web as a socio-economic system;
        understanding better the impact of the Web and Web technologies;
        democratizing access to Web content and technologies, making it more accessible, fair, inclusive, and accountable to a wide range of audiences.
    A typical Web Conference paper should not be merely a machine learning or AI paper applied to a dataset from the Web.

In this regard, we encourage submissions that:

    present in-depth accounts and novel analyses that improve our understanding of the Web and its impact;
    introduce and evaluate technical and sociotechnical systems and approaches enabled by core Web technologies, standards, and platforms;
    make strides in democratizing access to web content and technologies, making it more accessible, fair, inclusive and accountable to different audiences.

Our research interests are organized in thematic research tracks, each with a dedicated text for what is expected in the track in terms of relevant topics and content. In 2023, these will be (in alphabetical order):

    Crowdsourcing and Human Computation
    Economics, Monetization, and Online Markets
    Fairness, Accountability, Transparency, and Ethics on the Web (new track)
    Search
    Security, Privacy, and Trust
    Semantics and Knowledge
    Social Network Analysis and Graph Algorithms
    Systems and Infrastructure for Web, Mobile, and WoT
    User Modeling and Personalization
    Web and Society
    Web Mining and Content Analysis

If your paper is based on results obtained in an industrial environment, has clear industry relevance, addresses challenges motivated by practical settings, and has been deployed or released, you may want to check the Industry Track. The conference will also feature a Web4Good track and a History of the Web track. Please examine these calls closely when deciding to which track to submit your work, and ask track chairs in case of doubt.