About the Journal

Web Science embraces the study of the Web as a vast information network of people and communities. It also includes the study of people and communities by using the digital records of user activity mediated by the Web. An understanding of human behavior and social interaction can contribute to our understanding of the Web, and data obtained from the Web can contribute to our understanding of human behavior and social interaction. Accordingly, Web Science involves analysis and design of Web architecture and applications, as well as studies of the people, organizations, and policies that shape and are shaped by the Web.

To address these diverse goals, The Journal of Web Science is inherently interdisciplinary, integrating computer and information sciences, communication, linguistics, sociology, psychology, economics, law, political science, and other disciplines.

The Journal of Web Science is unique in the manner in which it brings these disciplines together in creative and critical dialogue. We therefore invite research papers describing original research from all the above disciplines, as well as those that cross traditional disciplinary boundaries.

In order to best serve the community, The Journal of Web Science will provide immediate open access to its content. Accepted papers will be published online immediately upon acceptance. The copyright of the published articles stays with the authors. It is free for authors as well as for readers.


桔子云2024-outline

Published: 2024-08-28

桔子云2024-outline

桔子云2024-outline

Floriana Gargiulo, Ilaria Bertazzi, Sylvie Huet
Abstract 361 | PDF Downloads 255

Network, Text, and Image Analysis of Anti-Muslim Groups on Facebook

Megan Squire
Abstract 352 | PDF Downloads 261

Modeling Dynamic Ideological Behavior in Political Networks

Carlos Henrique Gomes Ferreira, Fabricio Murai Ferreira, Breno de Sousa Matos, Jussara Marques de Almeida
Abstract 274 | PDF Downloads 200

Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate

Genevieve Gorrell, Mehmet Emin Bakir, Ian Roberts, Mark Anthony Greenwood, Benedetta Iavarone, Kalina Bontcheva
Abstract 326 | Dataset Downloads 0 PDF Downloads 188

桔子云2024-outline

Najeeb Gambo Abdulhamid, Mark Perry, Armin Kashefi
Abstract 283 | PDF Downloads 184
  • 自由伔安卓版中文版
  • Vol 7, No 1 (2024)
  • Vol 4, No 1 (2018)
  • Vol 5, No 1 (2018)
  • Vol 3, No 1 (2017)
  • Vol 2, No 1 (2016)
  • Vol 1, No 1 (2015)