We invite contributions to the research tracks of The Web Conference 2024 (formerly known as WWW). The conference will take place in Singapore, from May 13 to 17, 2024.

The Web Conference is the premier conference focused on understanding the current state and the evolution of the Web through the lens of computer science, computational social science, economics, policy, and many other disciplines.

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.

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.

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. The specific tracks for 2024 will be announced in the near future.

All accepted papers will be published by ACM and will be accessible via the ACM Digital Library.