Participant Perceptions of Twitter Research Ethics

Social computing systems such as Twitter present new research sites that have provided billions of data points to researchers. However, the availability of public social media data has also presented ethical challenges. As the research community works to create ethical norms, we should be considering users’ concerns as well. With this in mind, we report on an exploratory survey of Twitter users’ perceptions of the use of tweets in research. Within our survey sample, few users were previously aware that their public tweets could be used by researchers, and the majority felt that researchers should not be able to use tweets without consent. However, we find that these attitudes are highly contextual, depending on factors such as how the research is conducted or disseminated, who is conducting it, and what the study is about. The findings of this study point to potential best practices for researchers conducting observation and analysis of public data

"This Applies to the RealWorld": Student Perspectives on Integrating Ethics into a Computer Science Assignment

There is a growing movement in undergraduate computer science (CS) programs to embed ethics across CS classes rather than relying solely on standalone ethics courses. One strategy is creating assignments that encourage students to reflect on ethical issues inherent to the code they write. Building off prior work that has surveyed students after doing such assignments in class, we conducted focus groups with students who reviewed a new introductory ethics-based CS assignment. In this experience report, we present a case study describing our process of designing an ethics-based assignment and proposing the assignment to students for feedback. Participants in our focus groups not only shared feedback on the assignment, but also on the integration of ethics into coding assignments in general, revealing the benefits and challenges of this work from a student perspective. We also generated novel ethics-oriented assignment concepts alongside students. Deriving from tech controversies that participants felt most affected by, we created a bank of ideas as a starting point for further curriculum development.Comment: 6 pages, 1 figur

Studying Reddit: A Systematic Overview of Disciplines, Approaches, Methods, and Ethics

This article offers a systematic analysis of 727 manuscripts that used Reddit as a data source, published between 2010 and 2020. Our analysis reveals the increasing growth in use of Reddit as a data source, the range of disciplines this research is occurring in, how researchers are getting access to Reddit data, the characteristics of the datasets researchers are using, the subreddits and topics being studied, the kinds of analysis and methods researchers are engaging in, and the emerging ethical questions of research in this space. We discuss how researchers need to consider the impact of Reddit’s algorithms, affordances, and generalizability of the scientific knowledge produced using Reddit data, as well as the potential ethical dimensions of research that draws data from subreddits with potentially sensitive populations

Incorporating Ethics in Computing Courses: Perspectives from Educators

Incorporating ethics into computing education has become a priority for the SIGCSE community. Many computing departments and educators have contributed to this endeavor by creating standalone computing ethics courses or integrating ethics modules and discussions into preexisting curricula. In this study, we hope to support this effort by reporting on computing educators' attitudes toward including ethics in their computing classroom, with a special focus on the structures that hinder or help this endeavor. We surveyed 138 higher education computing instructors to understand their attitudes toward including ethics in their classes, what barriers might be preventing them from doing so, and which structures best support them. We found that even though instructors were generally positive about ethics as a component of computing education, there are specific barriers preventing ethics from being included in some computing courses. In this work, we explore how to alleviate these barriers and outline support structures that could encourage further integration of ethics and computing in higher education

Qualitative data collection technologies: A comparison of instant messaging, email, and phone.

ABSTRACT With the growing body of qualitative research on HCI and social computing, it is natural that researchers may choose to conduct that research in a mediated fashion-over telephone or computer networks. In this paper we compare three different qualitative data collection technologies: phone, instant message (IM), and email. We use quantitative analysis techniques to examine the differences between the methods specifically concerning word count and qualitative codes. We find that there are differences between the methods, and that each technology has affordances that impact the data. Although phone interviews contain four times as many words on average as email and IM, we were surprised to discover that there is no significant difference in number of unique qualitative codes expressed between phone and IM

Internet Research Ethics: A CSCW Community Discussion

Research ethics continues to be an important topic of conversation within the HCI and social computing communities, especially regarding the specific ethical challenges raised by internet research. Developing a shared understanding of ethical norms is complicated by the diverse disciplinary traditions, evolving technologies and methods, and multiple geographic and cultural settings of researchers in these communities. Drawing on experiences of the SIGCHI Research Ethics Committee as well as empirical work towards developing best ethical practices for internet research, this Special Interest Group will discuss current practices and challenges in studying people and data online, covering the full research life-cycle from the crafting of research ideas, through study design, data collection, analysis, and then dissemination. This conversation will benefit from diverse voices and perspectives to help us all learn from each other and critically engage with our research community’s values and ethical commitments