This study conducts a visual analysis of 491 participant‐generated drawings to examine how individuals with varying cybersecurity expertise conceptualize security through visual metaphors and narrative strategies. Using a codebook grounded in visual rhetoric theory, we identified a striking consistency in imagery—particularly the recurring use of locks, shields, and oppositional symbols—across all groups. Findings suggest the existence of shared visual ontologies shaped by both common sense and collective stereotypes. We discuss the implications of these visual conventions for cybersecurity communication and propose future research integrating generative AI tools, audience analysis, and domain knowledge frameworks to uncover underrepresented conceptual gaps.
While there is increased interest in studying the information behavior of individuals engaged in creative pursuits, the body of research on the topic is still small in comparison to the volume of studies concerning the information behavior of scientists, social scientists, and humanists. Two possible and interrelated explanations for this are 1) non‐artists' misunderstanding artists' need for information as a support and inspiration for their work; and 2) the difficulty inherent in studying the creative process, which is highly personal to the artist and often not visible to others. This short paper describes a model for data collection designed to mitigate these challenges; by shifting the preliminary data collection to the artists themselves, diary studies mitigate the challenges presented by attempting to study artists' information behavior in the internal and non‐linear processes of creation. The author designed a study to capture 21 poets' impressions of the role of information in both inspiring and supporting their poetry writing. This paper describes the project design and execution, data collection, and next steps in the author's data analysis process.
As Artificial Intelligence (AI) advancements create new ethical issues and challenge existing legal regulations, traditional ethical principles and data ethics education often fail to reflect these nuances. This study explores how collaborative game design among students with diverse backgrounds fosters transformative learning in data ethics within a college course. It examines a conversation about motivations for enrolling in the course, pre‐course reflections, and post‐course reflections from 32 participants in a semester‐long credit‐based class. Thematic analysis reveals parallels with Mezirow's transformative learning theory (1978) in four key phases of transformative learning. The preliminary findings demonstrate that students not only gained data ethics literacy but also internalized ethical thinking as part of their future goals. This poster highlights the potential of interdisciplinary and collaborative design‐based pedagogy to cultivate digital ethical self‐awareness and ethical judgements when navigating ethical issues in AI or machine learning (ML).
Multimodal disinformation (MD) has become more widespread in social media, raising the importance of information credibility research in this context. Meanwhile, engagement cues like comments and virality metrics may influence online credibility assessment. Using a between‐subjects experiment, we examined the main and interaction effects of multimodality, comments, and virality metrics on disinformation recognition. Our results unexpectedly revealed that MD is easier to recognize than unimodal disinformation. Further, multimodality could attenuate the impact of comments and virality metrics, making people more susceptible to disinformation. Based on these findings, we discussed the theoretical and practical implications.
Unhoused patrons are uniquely vulnerable to marginalizing public library policies. To first capture the scope of the problem and then to offer a lens for productive critique, I perform a content analysis on the behavior policies of all thirty‐five library systems in Los Angeles County, California, USA, describing the methods by which libraries deny unhoused patrons access to library spaces. Then, by applying Iris Marion Young's work on “enabling justice” to these policies, I give a name to these processes: marginalization. I argue that if public libraries are to live up to their name, policies that affect public access need to be viewed through a justice lens. Public libraries that truly are “public” need to design policies that enable justice for all members of their public, and the methods I apply to the Los Angeles County case study offer tools to aid that transformation.
