Tootfinder

Social Dynamics of DAOs: Power, Onboarding, and Inclusivity
Victoria Kozlova, Ben Biedermann
https://arxiv.org/abs/2509.06163 https://arxiv.org/pdf/2509.06…

Social Dynamics of DAOs: Power, Onboarding, and Inclusivity
This report explores the often-overlooked cultural and social dynamics shaping participation and power in DAOs. Drawing on qualitative interviews and ethnographic observations, it shows how factors such as financial privilege, informal gatekeeping, visibility bias, and onboarding structures create barriers to meaningful inclusion. While DAOs are frequently framed as permissionless and egalitarian, the lived experiences of contributors reveal a more complex reality, one in which soft power and i…

Dynamics of Gender Bias in Software Engineering
Thomas J. Misa
https://arxiv.org/abs/2508.21050 https://arxiv.org/pdf/2508.21050

Dynamics of Gender Bias in Software Engineering
The field of software engineering is embedded in both engineering and computer science, and may embody gender biases endemic to both. This paper surveys software engineering's origins and its long-running attention to engineering professionalism, profiling five leaders; it then examines the field's recent attention to gender issues and gender bias. It next quantitatively analyzes women's participation as research authors in the field's leading International Conference of Software Engineering (1…

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms
Babak Naderi, Ross Cutler
https://arxiv.org/abs/2509.20001 https://arxiv…

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms
Subjective video quality assessment (VQA) is the gold standard for measuring end-user experience across communication, streaming, and UGC pipelines. Beyond high-validity lab studies, crowdsourcing offers accurate, reliable, faster, and cheaper evaluation-but suffers from unreliable submissions by workers who ignore instructions or game rewards. Recent tests reveal sophisticated exploits of video metadata and rising use of remote-desktop (RD) connections, both of which bias results. We propose o…

ONION: A Multi-Layered Framework for Participatory ER Design
Viktoriia Makovska, George Fletcher, Julia Stoyanovich
https://arxiv.org/abs/2507.08702 https:…

ONION: A Multi-Layered Framework for Participatory ER Design
We present ONION, a multi-layered framework for participatory Entity-Relationship (ER) modeling that integrates insights from design justice, participatory AI, and conceptual modeling. ONION introduces a five-stage methodology: Observe, Nurture, Integrate, Optimize, Normalize. It supports progressive abstraction from unstructured stakeholder input to structured ER diagrams. Our approach aims to reduce designer bias, promote inclusive participation, and increase transparency through the modeli…