The Journal of Web Science

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. Final Versions are published at the Now Publishers Journal Homepage.

Vol 1 (2019)

Table of Contents


Different Topic, Different Traffic: How Search and Navigation Interplay on Wikipedia preprint
Dimitar Dimitrov, Florian Lemmerich, Fabian Flöck, Markus Strohmaier
Radicalisation Influence in Social Media preprint
Miriam Fernandez
Crawling Complex Networks: An Experimental Evaluation of Data Collection Algorithms and Network Structural Properties preprint
Katchaguy Areekijseree, Sucheta Soundarajan
Fine-Tuning Gold Questions in Crowdsourcing Tasks using Probabilistic and Siamese Neural Network Models preprint
JOSE MARIA GONZALEZ PINTO, Kinda El Maarry, Wolf-Tilo Balke
Angel or Demon? Characterizing Variations Across Twitter Timeline of Technical Support Campaigners preprint
Srishti Gupta, Gurpreet Singh Bhatia, Saksham Suri, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru