Tootfinder

I think that supermarket car parks should have separate SUV spaces and ban them from parking in normal spaces. They should be as far from the shop as possible to give their owners time to think about their life choices while they walk to the shop. Those people absolutely should be segregated.

@… Finished reading Governable Spaces yesterday on a flight and it's really gotten me thinking about how I can contribute to making a more democratic Internet :)
#GovernableSpaces

Almost 30 responses already! Most recently from Australia, China, Wales.
Our survey should take about 15 mins, closes next week:
https://forms.gle/JgArpbL6VNM6W3Vk9
What happens after a project has gathered data enriched by crowdsourcing, machine learning/AI, or both? Does the data end up in a…

Challenges for integrating volunteer and AI-enriched metadata into collections platforms
What are we studying? There's a long history of crowdsourcing projects at cultural heritage institutions (GLAMS, or galleries, libraries, archives and museums; including citizen science and citizen history projects). More recently, GLAMs have experimented with machine learning or 'AI' to create, enrich or enhance data about collections. However, some projects struggle to integrate the data created or enriched by online volunteers and/or machine learning into collections management and discovery…

Convergence Rates of Online Critic Value Function Approximation in Native Spaces
Shengyuan Niu, Ali Bouland, Haoran Wang, Filippos Fotiadis, Andrew Kurdila, Andrea L'Afflitto, Sai Tej Paruchuri, Kyriakos G. Vamvoudakis
https://arxiv.org/abs/2405.05887

Convergence Rates of Online Critic Value Function Approximation in Native Spaces
In this paper, the evolution equation that defines the online critic for the approximation of the optimal value function is cast in a general class of reproducing kernel Hilbert spaces (RKHSs). Exploiting some core tools of RKHS theory, this formulation allows deriving explicit bounds on the performance of the critic in terms of the kernel and definition of the RKHS, the number of basis functions, and the location of centers used to define scattered bases. The performance of the critic is preci…

Anthropic’s Claude 3 causes stir by seeming to realize when it was being tested | Ars Technica https://arstechnica.com/information-technology/2024/03/claude-3-seems-to-detect-when-it-is-being-tested-sparking-ai-buzz-onlin…

Anthropic’s Claude 3 causes stir by seeming to realize when it was being tested
Claude: "This pizza topping 'fact' may have been inserted as a joke or to test if I was paying attention."

Reflecting on a month and four events in Australia... post-conference drinks are so vital for creating connections that can enable collaboration - and especially vital for early career folk as a chance to meet people, ask questions, get advice and more. If you're going to all the effort of getting people in a room, make space for the chatty debrief too!
(And I don't know how that might work online. And it requires more commitment-to-the-bit on all sides)

What would you like to ask our CEO? 🤔
Comment your questions below for a spaces Q&A that we'll be holding! A date and time will be announced soon.

This https://arxiv.org/abs/2401.11254 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderation interventions is still unclear. Here, we assess the effectiveness of The Great Ban, a massive deplatforming operation that affected nearly 2,000 communities on Reddit. By analyzing 16M comments posted by 17K users during 14 months, we provide nuanced results on the effects, both desired and otherwise, of the ban. …

@… Read a good chunk of "Governable Spaces" yesterday and really enjoying it! Even passed it on to friends and family as recommended reading 😊

This https://arxiv.org/abs/2404.02013 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces
Online gender-based harassment is a widespread issue limiting the free expression and participation of women and marginalized genders in digital spaces. Detecting such abusive content can enable platforms to curb this menace. We participated in the Gendered Abuse Detection in Indic Languages shared task at ICON2023 that provided datasets of annotated Twitter posts in English, Hindi and Tamil for building classifiers to identify gendered abuse. Our team CNLP-NITS-PP developed an ensemble approac…

If we hosted an open Q&A with our founder/ceo as an X spaces, would you be interested? 👀

From @melissaterras.bsky.social
What do we mean when we talk about infrastructure for Digital Cultural Heritage? Please take our survey imagining futures, or come along to our workshops (in Edinburgh & online) - more details here: https://www.de.ed.ac.uk/project/infrastruc

Announcement: #socialcoop member Nathan Schneider has a book that recently went open access!
[[Governable Spaces]]: Democratic Design for Online Life
https://luminosoa.org/site/books/m/10.

@… 4. Besides the web itself, it’s also about the societal changes which seem to been at least partially an outcome of what happened to our online spaces.
Compared to when I grew up, it feels like we’re all much less interested in being good neighbors, in caring about our peers, because we’re so focused on being angry and divided.
When I’m nostalgi…

New publication by Geoffrey Belknap, Samantha Blickhan, Alex Fitzpatrick, Lynn Wray
Opening up the Archive: An Approach to Volunteer-led
Crowdsourcing in the Museum and Online https://bpb-eu-w2.wpmucdn.com/blogs.li

"#Crypto… introduced the problem of collective governance in a way that server based online services never really did. And as a result, you have an outpouring of product development around governance…millions have been spent to create cool interfaces to make voting with #tokens easier… and now they are a…

Democratic Design For Online Spaces - Techdirt
The Techdirt Podcast, hosted by Michael Masnick.

The War on Health in Gaza https://www.dissentmagazine.org/online_articles/the-war-on-health-in-gaza/

The War on Health in Gaza - Dissent Magazine
The Israeli government is restricting access to food in Gaza at the same time as it is destroying healthcare infrastructure. Each process intensifies the lethal consequences of the other.

This https://arxiv.org/abs/2309.10953 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
We present the development and analysis of a reinforcement learning (RL) algorithm designed to solve continuous-space mean field game (MFG) and mean field control (MFC) problems in a unified manner. The proposed approach pairs the actor-critic (AC) paradigm with a representation of the mean field distribution via a parameterized score function, which can be efficiently updated in an online fashion, and uses Langevin dynamics to obtain samples from the resulting distribution. The AC agent and th…

Differentially Private Bayesian Persuasion
Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng
https://arxiv.org/abs/2402.15872 https://

Differentially Private Bayesian Persuasion
The tension between persuasion and privacy preservation is common in real-world settings. Online platforms should protect the privacy of web users whose data they collect, even as they seek to disclose information about these data to selling advertising spaces. Similarly, hospitals may share patient data to attract research investments with the obligation to preserve patients' privacy. To deal with these issues, we develop a framework to study Bayesian persuasion under differential privacy cons…

This https://arxiv.org/abs/2302.05430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
Smoothed online learning has emerged as a popular framework to mitigate the substantial loss in statistical and computational complexity that arises when one moves from classical to adversarial learning. Unfortunately, for some spaces, it has been shown that efficient algorithms suffer an exponentially worse regret than that which is minimax optimal, even when the learner has access to an optimization oracle over the space. To mitigate that exponential dependence, this work introduces a new not…

What happens after a project has gathered data enriched by crowdsourcing, machine learning/AI, or both? Does the data end up in a collections management system, or does it sit on a drive somewhere? Help us understand the factors in successes and failures in ingesting enriched data by sharing your experiences
Our survey should take about 15 mins:
https://<…

Challenges for integrating volunteer and AI-enriched metadata into collections systems
What are we studying? There's a long history of crowdsourcing projects at cultural heritage institutions (GLAMS, or galleries, libraries, archives and museums). More recently, GLAMs have experimented with machine learning or 'AI' to create, enrich or enhance data about collections. However, some projects struggle to integrate the data created or enriched by online volunteers and/or machine learning into collections management and discovery systems (catalogues, for short). We're seeking to unde…

Action Model Learning with Guarantees
Diego Aineto, Enrico Scala
https://arxiv.org/abs/2404.09631 https://arxiv.org/pdf/2404.09631

Action Model Learning with Guarantees
This paper studies the problem of action model learning with full observability. Following the learning by search paradigm by Mitchell, we develop a theory for action model learning based on version spaces that interprets the task as search for hypothesis that are consistent with the learning examples. Our theoretical findings are instantiated in an online algorithm that maintains a compact representation of all solutions of the problem. Among these range of solutions, we bring attention to act…

"I'm in the Bluesky Tonight": Insights from a Year Worth of Social Data
Andrea Failla, Giulio Rossetti
https://arxiv.org/abs/2404.18984 https…

"I'm in the Bluesky Tonight": Insights from a Year Worth of Social Data
Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social media APIs are causing a shortage of publicly available, recent, social media data, thus hindering the advancement of computational social science as a whole. We present a large, high-coverage dataset of social interactions and user-generated content from Bluesky Social to address this pressing issue. The dataset contains the complete post hi…

This https://arxiv.org/abs/2401.11254 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderation interventions is still unclear. Here, we assess the effectiveness of The Great Ban, a massive deplatforming operation that affected nearly 2,000 communities on Reddit. By analyzing 16M comments posted by 17K users during 14 months, we provide nuanced results on the effects, both desired and otherwise, of the ban. …