Papers for

digital platform designers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Faith aligned browser shapes muslim user trust and internet use

Imagining a Muslim Internet: Trust, Autonomy, and Segregation in a Faith-Aligned Browser

Abstract: Religiously branded platforms raise important questions about trust, usability, and autonomy when technology is built around a specific faith. Prior HCI work on Islam and Muslim technology has focused on single-purpose tools such as prayer, scripture, and health apps, leaving infrastructures like browsers, which shape a user's relationship with the Internet, unexamined. We address this gap through semi-structured interviews with 16 users of Kahf Browser, a faith-aligned browser designed to support Muslims' online activities. Findings show religious identity motivates adoption but does not sustain it. Trust is not fixed by religious branding but shifts over time based on the browser's functionality, and users take pride in Muslim-built infrastructure. Building on these insights, we introduce porous digital segregation: a model where users seek not a sealed alternative internet but a protected default with selective exit mechanisms. We conclude by connecting findings to broader issues in faith-aligned technology and offering design recommendations.

Sun 4 OctHuman-Computer Interaction
The gist
The paper looks at a special web browser made for Muslim users called Kahf Browser. It studies why people start using this browser, how their trust changes over time, and how the browser supports both religious and everyday internet activities. The authors found that people like using Muslim-built internet tools but don’t want a completely separate internet. Instead, they want a protected space that still allows some access to the wider internet. The paper offers ideas on how to design technology that respects faith while giving users choices.
Open → 2610.05444v1

Algorithmic speech evolves through search social media and conversation

The Mutations of Machine Speech

Abstract: Algorithmic outputs now populate the digital environments through which contemporary life is organized. The role of law in facilitating and constituting (rather than merely responding to) these processes is gaining increasing traction across scholarly accounts. This inquiry traces the evolution of algorithmic outputs attending to their legal underpinnings and social implications, surfacing the mutations of machine speech. The first mutation redefined speech as data to be queried: search engines transformed the web from a space of information retrieval into an economic regime of algorithmic visibility. The second mutation reframed speech as engagement: social media platforms fused moderation with amplification, turning expression into a metric of attention, governed by corporate architectures. The third mutation emerges in conversational systems and interfaces, where generative text displaces information retrieval, bringing with it dense technolegal entanglements and profound epistemic consequences. Scholars of freedom of expression, informational privacy, and communication studies have long grappled with these dynamics, yet their implications for broader legal thought have also become urgent. This piece seeks to organize and clarify the evolving debate around algorithmic speech, making this critical but often fragmented discourse more accessible to wider legal and interdisciplinary audiences. In doing so, it bridges the gap between observing technological transformation and critically assessing the constitutive role of law within it, offering a conceptual resource for researchers, students, policymakers, and practitioners navigating and contesting this evolving landscape.

Tue 8 SeptComputation and LanguageComputers and SocietyHuman-Computer Interaction
The gist
Machine-made speech, or algorithmic outputs, has changed the way we interact with digital information. The authors show three key shifts: first, search engines treated speech as data to find, turning the web into a market of visibility. Next, social media mixed content control with boosting posts, making speech into a way to gain attention controlled by companies. Finally, conversational AI changed speech from retrieval to generation, raising new legal and knowledge questions. This paper helps explain these changes and their legal impacts for a broad audience.
Open → 2609.09496v1