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While long recognized in the humanities, there is growing recognition in the sciences and social sciences that primary sources—as diverse as manuscripts, photographs, cultural belongings, and specimens—hold vast data about scientific and human ...

The shape of social media platforms has transformed political communication, particularly how political leaders engage with the public and influence opinion. This paper explores the dynamics of Colombian President Gustavo Petro’s use of X, ...

Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such ...

CS 109, "Data Analytics for Social Good," exemplifies interdisciplinary education, preparing students for a data-centric world where technology and social consciousness unite. The course is co-taught by a Computer Science (Software Development) ...

Large language models have enabled the rapid production of misleading or fake narratives, presenting a challenge for direct detection methods. Considering that generative artificial intelligence tools are likely to be used either to inform or to ...

Research on creativity support tools (CSTs) has a long history in Human-Computer Interaction (HCI); however, researchers often focus on developing novel CSTs and verifying them in a controlled lab setting, rather than on capturing the creative process in ...

Measuring the closeness of friendships is an important problem that finds numerous applications in practice. For example, online gaming platforms often host friendship-enhancing events in which a user (called the source) only invites his/her friend (...

We raise a new and challenging multimedia application in video surveillance system, i.e., Hidden Follower Discovery (HFD). In contrast to the common abnormal behaviors that are occurring, hidden following is not an ongoing activity, but a preparatory ...

Cybersecurity is an interdisciplinary field, involving computer science, psychology, social science, behavioral science, criminal justice, political science, and many others. This workshop is to bring researchers from different disciplines especially ...

As software engineering research becomes more concerned with the psychological, sociological and managerial aspects of software development, relevant theories from reference disciplines are increasingly important for understanding the field's core ...

Twitter is an important object of research in social science studies, and the emergence of numerous Twitter software tools has provided researchers with the possibility of gaining insights into Twitter data; however, at the same time, early stage ...

Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are primary resources for research. There is a long tradition to collect ...

Wargaming has a long history as a tool for understanding the complexity of conflict. Although wargames have shown their relevance across topics and time, the immersive nature of wargames and the guild-like communities that surround them ...

Traditional methods to study visual politics have been limited in geographical, media and temporal coverage. Recent advances in deep learning have the potential to dramatically extend the scope of the field especially with respect to making sense of ...

Significantly more immigrant students are served by US public schools. To provide more efficient support to those immigrant students, we need to investigate the current situation of those immigrant students and graduation rate is used as a reference of ...

This tutorial provides guidance on how to teach data science to non-technical students, especially for social science and humanities students. In this tutorial, I will share resources, strategies, and models for teaching data science to non-technical ...

The introductory agent-based modeling course we are presenting aims to equip second-year sociology students with basic skills which are critical to transforming their research ideas into theories and computational models. Our course follows a general ...

We report on a curricular experiment at Stanford University focused on teaching computer ethics. After nearly a year of preparation, we launched a new course at the intersection of ethics, public policy, and technology that deeply marries the humanities,...

While natural language processing affords researchers an opportunity to automatically scan millions of social media posts, there is growing concern that automated computational tools lack the ability to understand context and nuance in human ...

Online communities that form through the introduction of sociotechnical platforms require significant effort to cultivate and sustain. Providing open, transparent information on community behaviour can motivate participation from community members ...