Multilingual News–An Investigation of Consumption, Querying, and Search Result Selection Behaviors
Chenjun Ling, Ben Steichen, Silvia M. Figueira · International Journal of Human-Computer Interaction · 2019
Chenjun Linga* , Ben Steichenb & Silvia Figueiraaa Department of Computer Engineering, Santa Clara University, Santa Clara, CA, USAb Department of Computer Science, California State Polytechnic University, Pomona, CA, USAChenjun Ling Ph.D. candidate in the Computer Science and Engineering at Santa Clara University. Her research interests include Information Retrieval, HCI, and Data Science.Ben Steichen is an Assistant Professor in the Computer Science Department at California State Polytechnic University, Pomona. Dr. Steichen’s research focuses on Human-Centered Computing and Personalized Information Access, which involves techniques and concepts from the fields of HCI, Information Retrieval & Visualization, and Web & Data Science.Silvia Figueira is a Professor of Computer Science and Engineering at Santa Clara University and the director of the SCU Frugal Innovation Hub. Her research is in the area of performance evaluation and prediction, recently with a focus on energy efficiency.CONTACT Chenjun Ling [email protected]; [email protected] Department of Computer Engineering, Santa Clara University, 500 El Camino Real, 95053, Santa Clara, CA, USA.Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/hihc.ABSTRACTWith the global expansion of the Internet and the World Wide Web, users are becoming increasingly diverse, particularly in terms of languages. In fact, there are now many users online who are polyglots, i.e. users who are proficient in more than one language. However, even such multilingual users often continue to suffer from unbalanced and fragmented news information, as traditional news access systems seldom allow users to simultaneously search for and/or compare news in different languages, even though prior research results have shown that multilingual users make significant use of each of their languages when generally searching for information online.The research presented in this paper provides the first investigation of multilingual news consumption, as well as a detailed analysis of multilingual querying and search result selection behaviors. In particular, through a set of 2 phases of crowdsourced user studies, this paper presents the first human-centered studies in multilingual news access, aiming to drive the development of personalized multilingual news access systems that better support each individual user.