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https://doi.org/10.1145/361390...
Article . 2024 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY NC SA
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Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities

Authors: Leijie Wang; Nicholas Vincent; Julija Rukanskaitė; Amy Xian Zhang;

Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities

Abstract

Internet users have formed a wide array of online communities with nuanced and diverse community goals and norms. However, most online platforms only offer a limited set of governance models in their software infrastructure and leave little room for customization. Consequently, technical proficiency becomes a prerequisite for online communities to build governance policies in code, excluding non-programmers from participation in designing community governance. In this paper, we present Pika, a system that empowers non-programmers to author a wide range of executable governance policies. At its core, Pika incorporates a declarative language that decomposes governance policies into modular components, thereby facilitating expressive policy authoring through a user-friendly, form-based web interface. Our user studies with 17 participants show that Pika can empower non-programmers to author governance policies approximately 2.5 times faster than programmers who author in code. We also provide insights about Pika's expressivity in supporting diverse policies that online communities want.

Conditionally accepted by CHI'2024

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC)

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid
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