Tootfinder

From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
Seunguk Yu, Jungmin Yun, Jinhee Jang, Youngbin Kim
https://arxiv.org/abs/2509.14712

From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
Although offensive language continually evolves over time, even recent studies using LLMs have predominantly relied on outdated datasets and rarely evaluated the generalization ability on unseen texts. In this study, we constructed a large-scale dataset of contemporary political discourse and employed three refined judgments in the absence of ground truth. Each judgment reflects a representative offensive language detection method and is carefully designed for optimal conditions. We identified …

The clip of Jimmy Kimmel’s monologue that got him pulled off the air is (still?) available on YouTube.
https://youtu.be/-j3YdxNSzTk?feature=shared

And that's a wrap - the newly refreshed laptop has been handed over to teen with most of the packages functional. Thanks for following along on this @… installation journey with me and thanks to all #linux maintainers, forum contributors and FOSS advocates around keeping the system running.
👏 WE REALLY APPRECIATE YOU!👏
The final judgement won't be clear until Monday when the first log in at school happens but hopefully it will be successful, or the IT support is going to have to deal with some very salty comments (from me).
16/16
FIN

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
Sai Suresh Marchala Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
https://arxiv.org/abs/2509.13400

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
The adoption of large language models (LLMs) is transforming the peer review process, from assisting reviewers in writing more detailed evaluations to generating entire reviews automatically. While these capabilities offer exciting opportunities, they also raise critical concerns about fairness and reliability. In this paper, we investigate bias in LLM-generated peer reviews by conducting controlled experiments on sensitive metadata, including author affiliation and gender. Our analysis consist…

Browns' Judkins won't face charge for July arrest https://www.espn.com/nfl/story/_/id/45980655/browns-quinshon-judkins-face-formal-battery-charge

All hail Judson! All hail Judson!
Oh Judson can you see... 😁
✅ Microsoft CEO Satya Nadella shakes up his own job, taps veteran exec as CEO of commercial business – GeekWire
https://www.geekwire.com/2025/microsoft-ce

Microsoft CEO Satya Nadella shakes up his own job, taps veteran exec as CEO of commercial business
Microsoft CEO Satya Nadella is handing off day-to-day commercial execution to longtime sales chief Judson Althoff, who takes on the new role of CEO of commercial business. The change frees Nadella to focus more on AI and long-term technology bets.

When the law enforcement is corrupt, the criminals roam free and the law is used to pursue people over personal dislikes. We really want the criminals out of law enforcement.
When the #CodeOfConduct enforcement is corrupt, the truly toxic people roam free and the rules are used to bully people over personal dislikes. Why do we applaud projects for adopting a CoC if they are not pursuing independent judgement?
#FreeSoftware #OpenSource

Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs
Yang Liu, Chenhui Chu
https://arxiv.org/abs/2509.13869 https://

Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs
Large language models (LLMs) can lead to undesired consequences when misaligned with human values, especially in scenarios involving complex and sensitive social biases. Previous studies have revealed the misalignment of LLMs with human values using expert-designed or agent-based emulated bias scenarios. However, it remains unclear whether the alignment of LLMs with human values differs across different types of scenarios (e.g., scenarios containing negative vs. non-negative questions). In this…

Florida prosecutors decline to formally charge Browns rookie RB Quinshon Judkins https://www.nfl.com/news/florida-prosecutors-decline-to-formally-charge-browns-rookie-rb-quinshon-judkins

Browns RB Quinshon Judkins won't face domestic violence charges https://www.nytimes.com/athletic/6554355/2025/08/14/browns-quinshon-judkins-domestic-violence-charges/