Tootfinder

Crowdsourced collection of examples of hidden e-waste in various products...
https://mastodon.green/@gerrymcgovern/114864772832309511

Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps
Kangyu Wang, Hongliang He, Lin Liu, Ruiqi Liang, Zhenzhong Lan, Jianguo Li
https://arxiv.org/abs/2508.11452

Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps
Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have ushered in a new era of AI capabilities, demonstrating near-human-level performance across diverse scenarios. While numerous benchmarks (e.g., MMLU) and leaderboards (e.g., Chatbot Arena) have been proposed to help evolve the development of LLMs and MLLMs, most rely on static datasets or crowdsourced general-domain prompts, often falling short of reflecting performance in real-world applications. To bridge this criti…

Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work
Alice Qian, Ziqi Yang, Ryland Shaw, Jina Suh, Laura Dabbish, Hong Shen
https://arxiv.org/abs/2509.12140

Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work
Responsible AI (RAI) content work, such as annotation, moderation, or red teaming for AI safety, often exposes crowd workers to potentially harmful content. While prior work has underscored the importance of communicating well-being risk to employed content moderators, designing effective disclosure mechanisms for crowd workers while balancing worker protection with the needs of task designers and platforms remains largely unexamined. To address this gap, we conducted co-design sessions with 29…

The Astronomer CEO's Coldplay Concert Fiasco Is Emblematic of Our Social Media Surveillance Dystopia https://www.404media.co/the-astronomer-ceos-coldplay-concert-fiasco-is-emblematic-of-our-social-media-surveillance-d…

Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo, Chul-Ho Lee, S. -H. Gary Chan
https://arxiv.org/abs/2507.11038

Graph-based Fingerprint Update Using Unlabelled WiFi Signals
WiFi received signal strength (RSS) environment evolves over time due to movement of access points (APs), AP power adjustment, installation and removal of APs, etc. We study how to effectively update an existing database of fingerprints, defined as the RSS values of APs at designated locations, using a batch of newly collected unlabelled (possibly crowdsourced) WiFi signals. Prior art either estimates the locations of the new signals without updating the existing fingerprints or filters out the…

The ICE List: Tracking Deportation Agents Across America
Crowdsourced database of individuals involved in deportations, ICE operations, and associated abuses.
https://icelist.info/

Home - ICE List
The ICE List: Tracking Deportation Agents Across America Crowdsourced database of individuals involved in deportations, ICE operations, and associated abuses.  The ICE List is an open journalistic project created by the Crustian Daily. Report an Agent What is the ICE List? The ICE List is a public, open-source effort to document the people responsible for […]

Request a Note: How the Request Function Shapes X's Community Notes System
Yuwei Chuai, Shuning Zhang, Ziming Wang, Xin Yi, Mohsen Mosleh, Gabriele Lenzini
https://arxiv.org/abs/2509.09956

Request a Note: How the Request Function Shapes X's Community Notes System
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X recently introduced "Request Community Note" feature, enabling users to solicit fact-checks from contributors on specific posts. Yet, its implications for the system -- what gets checked, by whom, and with what quality -- remain unclear. Using 98,685 requested posts and their associated notes, we evaluate how requests shape the Community Notes system. We find that contributors prioritize posts with higher …

AI Feedback Enhances Community-Based Content Moderation through Engagement with Counterarguments
Saeedeh Mohammadi, Taha Yasseri
https://arxiv.org/abs/2507.08110

AI Feedback Enhances Community-Based Content Moderation through Engagement with Counterarguments
Today, social media platforms are significant sources of news and political communication, but their role in spreading misinformation has raised significant concerns. In response, these platforms have implemented various content moderation strategies. One such method, Community Notes on X, relies on crowdsourced fact-checking and has gained traction, though it faces challenges such as partisan bias and delays in verification. This study explores an AI-assisted hybrid moderation framework in whi…

LLM-Crowdsourced: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
Qianhong Guo, Wei Xie, Xiaofang Cai, Enze Wang, Shuoyoucheng Ma, Kai Chen, Xiaofeng Wang, Baosheng Wang
https://arxiv.org/abs/2507.22359

LLM-Crowdsourced: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
Although large language models (LLMs) demonstrate remarkable capabilities across various tasks, evaluating their capabilities remains a challenging task. Existing evaluation methods suffer from issues such as data contamination, black-box operation, and subjective preference. These issues make it difficult to evaluate the LLMs' true capabilities comprehensively. To tackle these challenges, we propose a novel benchmark-free evaluation paradigm, LLM-Crowdsourced. It utilizes LLMs to generate ques…

Seeing Identity in Data: Can Anthropographics Uncover Racial Homophily in Emotional Responses?
Poorna Talkad Sukumar, Maurizio Porfiri, Oded Nov
https://arxiv.org/abs/2509.09910

Seeing Identity in Data: Can Anthropographics Uncover Racial Homophily in Emotional Responses?
Racial homophily refers to the tendency of individuals to associate with others of the same racial or ethnic background. A recent study found no evidence of racial homophily in responses to mass shooting data visualizations. To increase the likelihood of detecting an effect, we redesigned the experiment by replacing bar charts with anthropographics and expanding the sample size. In a crowdsourced study (N=720), we showed participants a pictograph of mass shooting victims in the United States, w…