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Understanding how various external campaigns or events affect readership on Wikipedia is important to efforts aimed at improving awareness and access to its content. In this paper, we consider how to build time-series models aimed at…

Computers and Society · Computer Science 2019-03-27 Xiaoxi Chelsy Xie , Isaac Johnson , Anne Gomez

A student reads a textbook to learn a new topic; an attorney leafs through familiar legal documents. Each reader may have a different goal for, and prior knowledge of, their reading. A mobile context, which captures interaction behavior,…

Human-Computer Interaction · Computer Science 2020-04-28 Sungjin Nam , Zoya Bylinskii , Christopher Tensmeyer , Curtis Wigington , Rajiv Jain , Tong Sun

Each year, multi-modal interaction continues to grow within both industry and academia. However, researchers have yet to fully explore the impact of multi-modal systems on learning and memory retention. This research investigates how…

Human-Computer Interaction · Computer Science 2025-09-09 Omar Elgohary , Zhu-Tien

With technical performance being similar for various web browsers, improving user perceived performance is integral to optimizing browser quality. We investigated the importance of priming, which has a well-documented ability to affect…

Human-Computer Interaction · Computer Science 2021-03-11 Jess Hohenstein , Bill Selman , Gemma Petrie , Jofish Kaye , Rebecca Weiss

The dataset focuses on Wikipedia users and contains information about demographic and socioeconomic characteristics of the respondents and their activity on Wikipedia. The data was collected using a questionnaire available online between…

Computers and Society · Computer Science 2023-12-06 Caterina Cruciani , Léo Joubert , Nicolas Jullien , Laurent Mell , Sasha Piccione , Jeanne Vermeirsche

Clickstream data, which come with a massive volume generated by human activities on websites, have become a prominent feature for identifying readers' characteristics by newsrooms after the digitization of news outlets. Although the nature…

Social and Information Networks · Computer Science 2022-10-11 Didem Makaroglu , Altan Cakir , Behcet Ugur Toreyin

The World Wide Web is a complex interconnected digital ecosystem, where information and attention flow between platforms and communities throughout the globe. These interactions co-construct how we understand the world, reflecting and…

Computers and Society · Computer Science 2025-04-17 Patrick Gildersleve , Anna Beers , Viviane Ito , Agustin Orozco , Francesca Tripodi

Most successful search queries do not result in a click if the user can satisfy their information needs directly on the SERP. Modeling query abandonment in the absence of click-through data is challenging because search engines must rely on…

Information Retrieval · Computer Science 2021-01-25 Lukas Brückner , Ioannis Arapakis , Luis A. Leiva

The dynamics of popularity in online media are driven by a combination of endogenous spreading mechanisms and response to exogenous shocks including news and events. However, little is known about the dependence of temporal patterns of…

Social and Information Networks · Computer Science 2021-05-25 Ryota Kobayashi , Patrick Gildersleve , Takeaki Uno , Renaud Lambiotte

Current advance of internet allows rapid dissemination of information, accelerating the progress on wide spectrum of society. This has been done mainly through the use of website interface with inherent unique human interactions. In this…

Human-Computer Interaction · Computer Science 2022-01-13 Decky Aspandi , Sarah Doosdal , Victor Ülger , Lukas Gillich , Steffen Staab

Today, users are reading the news through social platforms. These platforms are built to facilitate crowd engagement, but not necessarily disseminate useful news to inform the masses. Hence, the news that is highly engaged with may not be…

Social and Information Networks · Computer Science 2017-11-07 Benjamin D. Horne , Sibel Adali

Users in the data age have access to more data than ever before, but little is known how they interact with it. Using transparency and multimedia, data journalism (DJ) lets users explore and interpret data on their own. This study examines…

Computers and Society · Computer Science 2025-04-02 Avner Kantor , Sheizaf Rafaeli

This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level…

With the rapid accumulation of online information, efficient web navigation has grown vital yet challenging. To create an easily navigable cyberspace catering to diverse demographics, understanding how people navigate differently is…

Physics and Society · Physics 2024-09-27 Manran Zhu , Taha Yasseri , János Kertész

Exploring online behavior change is imperative for societal progress in the context of 21st-century challenges. We analyze 148 articles (2000-2023) focusing on behavior change in the digital space and build a map that categorizes behaviors,…

Computers and Society · Computer Science 2025-12-15 Arianna Pera , Gianmarco de Francisci Morales , Luca Maria Aiello

In the process of information gathering on the web, confirmation bias is known to exist, exemplified in phenomena such as echo chambers and filter bubbles. Our purpose is to reveal how people consume news and discuss these phenomena. In web…

Computers and Society · Computer Science 2019-09-04 Yoshifumi Seki , Mitsuo Yoshida

After years of speculation, price discrimination in e-commerce driven by the personal information that users leave (involuntarily) online, has started attracting the attention of privacy researchers, regulators, and the press. In our…

Computers and Society · Computer Science 2013-07-18 Jakub Mikians , László Gyarmati , Vijay Erramilli , Nikolaos Laoutaris

Websites are capable of learning a wide range of information about the platform on which a browser is executing. One major source of such information is the set of standardised Application Programming Interfaces (APIs) provided within the…

Cryptography and Security · Computer Science 2019-10-17 Zhaoyi Fan

Understanding fluctuation of users help stakeholders to provide a better support to communities. Below we present an experiment where we detect communities, their evolution and based on the data characterize users that stay, leave or join a…

Social and Information Networks · Computer Science 2016-10-04 Zinayida Petrushyna

The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale. Emerging phenomena such as crowdfunding and crowdsourcing have further…

Machine Learning · Computer Science 2023-06-27 Hannah H. Chang , Anirban Mukherjee
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