Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
Sam Liebeskind
To support end-user customization, researchers have examined and built a variety of specialized tools that enable users to author person-alized content classifiers within social media [35, 40, 41, 63]. They have also explored generic techniques for non-technical people to build their own text classifiers
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
Century-Scale Storage
lil.law.harvard.edu
The contract isn’t coming apart because people can’t access journalism, but because they increasingly don’t. People still want reliable, relevant information from sources independent of those in power in business and government. In fact, mountains of research suggest that people appreciate the ideal aspirations of journalism, and want news that hel... See more
The relationship between journalism and the people it aims to serve is broken. But we can heal it if we learn to put audiences and communities at the centre of everything we do. The News Alchemists newsletter wants to help you to do just that.
News Alchemists #20: "Why create a need when you can meet a need?"
Participants report that talking to the system’s chatbots is “freeing” and rewarding. In one example, a student who interacts with a “teacher” chatbot is asked to share their stories or memories of interacting with teachers. Based on what the student shares, the “teacher” bot might respond, “Sometimes I don’t effectively listen to what my students ... See more
Alex Pentland • Rediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Participation — Digitalist Papers
experimental social network design and AI for social cohesion
“School of Possibilities” public engagement / research methodology; chatbots representing objects/entities in the school system
Zooming out: great communities, in the traditional sense, required limited options so people would remain dependent: no specialists or external trade (to ensure we all collectively worked together), and no diversity or weird ideas (to ensure a homogenous group with a focus on tradition). We had far worse medical treatment, underwent excruciating manual labor, and didn’t necessarily share the same interests with others, but because we were dependent on each other, the bonds were strong. Now the options are virtually limitless, and we’re seeing our social bonds decay as a result.
The six principles are:
(a) build simple solutions
(b) to overlooked problems
(c) that actually need to be solved
(d) deliver them as informally as possible
(e) starting with a very crude version 1
(f) and then iterate rapidly
Let me explain with AirBnB's example 👇 https://t.co/5C3RyfpYY1
various types of roles have widely varied metrics and information by which they are commonly incentivized