Manoel Horta Ribeiro (@manoelhortaribeiro.bsky.social)

Human social sensing is an untapped resource for computational social science

The ability to ‘sense’ the social environment and thereby to understand the thoughts and actions of others allows humans to fit into their social worlds, communicate and cooperate, and learn from others’ experiences. Here we argue that, through the lens of computational social science, this ability can be used to advance research into human sociality. When strategically selected to represent a specific population of interest, human social sensors can help to describe and predict societal trends. In addition, their reports of how they experience their social worlds can help to build models of social dynamics that are constrained by the empirical reality of human social systems.

Governing Together: Toward Infrastructure for Community-Run Social Media | Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Collaborative and social computing theory, concepts and paradigms

FediForum | Growing the Open Social Web un-workshop, 2026/03/02

New Studies: How Commercial Forces Make Science Less Reliable

Computational social science has been distorted by commercial forces, and AI is making it worse.

Computational Public Space

Chapters — Intro, Communal computing, This presentation, Physicality — Globalization, Centrally-planned, Isolating, Private property, Surveillance, Consumption, Hidden — Summary, Outline

Victoria (@vicwalker.dev.br)

• QA Architect • Community Moderator • +30 yo • Português • English • Español • Français (un peu) 🇧🇷 🏳️‍🌈 ☭ ⁂ 🍉 🎗 🚂 Icon by @alphajn.bsky.social Atmosphere: https://linkat.blue/did:plc:fip3nyk6tjo3senpq4ei2cxw Tags: #Blog • #BskyTips • #Cupom

Growing the Social Web

I'm going to be participating in the Growing the Open Social Web workshop at Fediforum on March 2, 2026. I'm excited to talk to other people who care about the Fediverse about ways to connect more people through ActivityPub. Fediforum invited attendees to publish position papers before the workshop. SWF has a number of hypotheses…

Towards a Post-Social Media Studies

For two decades, "social media" has been the master lens through which scholars have understood digital communication—an era defined by user-generated content, networked publics, and participatory culture. That era is drawing to a close. This paper argues that three interrelated dynamics are dissolving the social media paradigm: an algorithmic shift from social-graph-based to interest-based recommendation, which is remaking the active "user" into a passive "viewer"; the generative AI revolution, which is replacing user-generated content with synthetic media and decoupling platforms from any dependence on human participation; and an exodus from public platforms toward private, closed spaces. Together, these dynamics are giving rise to three distinct post-social formations: algorithmically governed broadcasting platforms, semi-private spheres and micro-communities, and AI-mediated communication as a new media form in its own right. Understanding this transformation demands a fundamental reorientation of the field—new conceptual tools that move beyond networked publics and participatory culture, new methods suited to synthetic and ephemeral media environments, and renewed attention to the political stakes of communication systems that no longer require human participation.

Towards a Post-Social Media Studies

For two decades, "social media" has been the master lens through which scholars have understood digital communication—an era defined by user-generated content, networked publics, and participatory culture. That era is drawing to a close. This paper argues that three interrelated dynamics are dissolving the social media paradigm: an algorithmic shift from social-graph-based to interest-based recommendation, which is remaking the active "user" into a passive "viewer"; the generative AI revolution, which is replacing user-generated content with synthetic media and decoupling platforms from any dependence on human participation; and an exodus from public platforms toward private, closed spaces. Together, these dynamics are giving rise to three distinct post-social formations: algorithmically governed broadcasting platforms, semi-private spheres and micro-communities, and AI-mediated communication as a new media form in its own right. Understanding this transformation demands a fundamental reorientation of the field—new conceptual tools that move beyond networked publics and participatory culture, new methods suited to synthetic and ephemeral media environments, and renewed attention to the political stakes of communication systems that no longer require human participation.