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Data deluge characteristic for our times has led to information overload, posing a significant challenge to effectively finding our way through the digital landscape. Addressing this issue requires an in-depth understanding of how we…

Physics and Society · Physics 2025-06-12 Manran Zhu , János Kertész

The World Wide Web (WWW) has fundamentally changed the ways billions of people are able to access information. Thus, understanding how people seek information online is an important issue of study. Wikipedia is a hugely important part of…

Physics and Society · Physics 2023-01-05 Patrick Gildersleve , Taha Yasseri

Random walks on bipartite networks have been used extensively to design personalized recommendation methods. While aging has been identified as a key component in the growth of information networks, most research has focused on the…

Information Retrieval · Computer Science 2017-02-22 Alexandre Vidmer , Matus Medo

Virtual reality (VR) is increasingly being used as a research platform for investigating human responses to environmental variables. While VR provides tremendous advantages in terms of variable isolation and manipulation, and ease of…

Human-Computer Interaction · Computer Science 2023-08-31 Saleh Kalantari , Bill Tong Xu , Armin Mostafavi , Anne Seoyoung Lee , Qi Yang

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first…

Computers and Society · Computer Science 2023-01-19 Tiziano Piccardi , Martin Gerlach , Akhil Arora , Robert West

More and more people use the Internet to work on duties of their daily work routine. To find the right information online, Web search engines are the tools of their choice. Apart from finding facts, people use Web search engines to also…

Information Retrieval · Computer Science 2012-09-17 Georg Singer , Ulrich Norbisrath , Dirk Lewandowski

We test the hypothesis that the extent to which one obtains information on a given topic through Wikipedia depends on the language in which it is consulted. Controlling the size factor, we investigate this hypothesis for a number of 25…

Computation and Language · Computer Science 2021-06-01 Alexander Mehler , Wahed Hemati , Pascal Welke , Maxim Konca , Tolga Uslu

Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understanding these navigation patterns is crucial to better serve…

Computers and Society · Computer Science 2022-01-10 Akhil Arora , Martin Gerlach , Tiziano Piccardi , Alberto García-Durán , Robert West

Strategies for finding one's way through an unfamiliar environment may be helped by computer generated 2D maps, 3D virtual environments, or other navigation aids. The relative effectiveness of 2D and 3D virtual navigation aids was…

Human-Computer Interaction · Computer Science 2018-05-24 Yasmine Boumenir , Fanny Georges , Jeremy Valentin , Guy Rebillard , Birgitta Dresp-Langley

The Web has drastically simplified our access to knowledge and learning, and fact-checking online resources has become a part of our daily routine. Studying online knowledge consumption is thus critical for understanding human behavior and…

Computers and Society · Computer Science 2025-01-03 Tiziano Piccardi , Robert West

Persistent inequalities in political knowledge are a central concern in political communication. We organize the mechanisms underlying the knowledge-gap literature by distinguishing between individual preconditions, structural features of…

Computers and Society · Computer Science 2026-05-21 Roberto Ulloa , Tiedemann Leonard , Peter Selb , Celina Kacperski

In this paper we compare learning-based methods and classical methods for navigation in virtual environments. We construct classical navigation agents and demonstrate that they outperform state-of-the-art learning-based agents on two…

Computer Vision and Pattern Recognition · Computer Science 2019-07-30 Noriyuki Kojima , Jia Deng

Older adults' need for quality health information has never been more critical as during the COVID-19 pandemic. Yet, they are susceptible to the wide-spread misinformation disseminated through search engines and social media. To build a…

Human-Computer Interaction · Computer Science 2021-12-15 Zhaopeng Xing , Xiaojun Yuan , Lisa Vizer

Information in networks is non-uniformly distributed, enabling individuals in certain network positions to get preferential access to information. Social scientists have developed influential theories about the role of network structure in…

Social and Information Networks · Computer Science 2013-03-06 Jeon-Hyung Kang , Kristina Lerman

The search task and the system both affect the demand on cognitive resources during information search. In some situations, the demands may become too high for a person. This article has a three-fold goal. First, it presents and critiques…

Human-Computer Interaction · Computer Science 2010-05-18 Jacek Gwizdka

How are people able to plan so efficiently despite limited cognitive resources? We aimed to answer this question by extending an existing model of human task decomposition that can explain a wide range of simple planning problems by adding…

Machine Learning · Computer Science 2023-10-04 Ruiqi He , Carlos G. Correa , Thomas L. Griffiths , Mark K. Ho

Much of the existing approach to the digital divide suffers from an important limitation. It is based on a binary classification of Internet use by only considering whether someone is or is not an Internet user. To remedy this shortcoming,…

Computers and Society · Computer Science 2007-05-23 Eszter Hargittai

Individuals' access to information in a social network depends on its distributed and where in the network individuals position themselves. However, individuals have limited capacity to manage their social connections and process…

Social and Information Networks · Computer Science 2015-04-09 Jeon-Hyung Kang , Kristina Lerman

Web is often used for finding information and with a learning intention. In this thesis, we propose a study to investigate the process of learning online across varying cognitive learning levels using crowd-sourced participants. Our aim was…

Human-Computer Interaction · Computer Science 2019-09-12 Rishita Kalyani

This work presents a network-based data-driven study of the combination of factors that contribute to success in mountaineering. It simultaneously examines the effects of individual factors such as age, gender, experience etc., as well as…

Social and Information Networks · Computer Science 2021-09-29 Sanjukta Krishnagopal
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