








Sensors, not just bookmarks [Patterns of Sensemaking #1] - Cosmik Labs
First of a new series on sensemaking patterns we're observing on Semble
Sensors, not just bookmarks [Patterns of Sensemaking #1] - Cosmik Labs
First of a new series on sensemaking patterns we're observing on Semble

Sensemaking AI | Jigsaw
Sensemaking is a suite of AI-powered tools designed to help public leaders understand public opinion quickly. By combining AI interviewing with automated reporting, we bridge the gap between individual voices and actionable policy insights.

Sensemaking and Science Publishing | Ronen Tamari
Sensemaking as a new framework for understanding why science publishing/peer review is broken, and how to fix it
From Social Network to Sense Making
Part 2: Sensemaking Networks Project Plan - Cosmik Labs
Integrating fragmented science social media and reducing the barriers to semantic publishing with NLP
From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking
The web has become a dominant epistemic environment, influencing people's beliefs at a global scale. However, online epistemic environments are increasingly polluted, impairing societies' ability to coordinate effectively in the face of global crises. We argue that centralized platforms are a main source of epistemic pollution, and that healthier environments require redesigning how we collectively govern attention. Inspired by decentralization and open source software movements, we propose Open Source Attention, a socio-technical framework for "freeing" human attention from control by platforms, through a decentralized eco-system for creating, storing and querying stigmergic markers; the digital traces of human attention.

Designing with Hypertextual Friction in the Algorithmic Web – Sophia Liu | ACM Hypertext '25
Sensemaking Networks: Project Introduction - Cosmik Labs
Incorporating science social media into the scientific process
Agency Among Agents: Designing with Hypertextual Friction in the Algorithmic Web
Today's algorithm-driven interfaces, from recommendation feeds to GenAI tools, often prioritize engagement and efficiency at the expense of user agency. As systems take on more decision-making, users have less control over what they see and how meaning or relationships between content are constructed. This paper introduces "Hypertextual Friction," a conceptual design stance that repositions classical hypertext principles--friction, traceability, and structure--as actionable values for reclaiming agency in algorithmically mediated environments. Through a comparative analysis of real-world interfaces--Wikipedia vs. Instagram Explore, and Are.na vs. GenAI image tools--we examine how different systems structure user experience, navigation, and authorship. We show that hypertext systems emphasize provenance, associative thinking, and user-driven meaning-making, while algorithmic systems tend to obscure process and flatten participation. We contribute: (1) a comparative analysis of how interface structures shape agency in user-driven versus agent-driven systems, and (2) a conceptual stance that offers hypertextual values as design commitments for reclaiming agency in an increasingly algorithmic web.

LOVE this vision, and how @semble.so's upcoming connections feature helps to build towards this. Open, accretive collective sensemaking FTW!! Seize the means of sensemaking!! leaflet.pub/p/did:plc:y3dbemzlq5lzfl7osur…
rish
republishing with the right leaflet! i'm doing an exploration of how writing / long form content could live on the feed specifically to help documents acquire more context over time and did a write up here
fray — Bluesky thread factions
samantha.wiki/fray
Mu for democracy - Erlend’s notes
social-protocols/jabble

Dan Singleton 🏳️🌈🏳️⚧️ on Twitter / X

No Sense of Place: The Impact of Electronic Media on Social Behavior