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Documents: since mid-December 2024, YouTube told moderators to prioritize "freedom of expression" over potential harm, exempting political and culture videos (New York Times)
https://www.nytimes.com/2025/06/09/technology/youtube-video…

YouTube Loosens Video Content Moderation Rules
The world’s largest video platform has told content moderators to favor “freedom of expression” over the risk of harm in deciding what to take down.

Documents: since mid-December 2024, YouTube told moderators to prioritize "freedom of expression" over potential harm, exempting political and culture videos (New York Times)
https://www.nytimes.com/2025/06/09/technology/youtube-video…

YouTube Loosens Video Content Moderation Rules
The world’s largest video platform has told content moderators to favor “freedom of expression” over the risk of harm in deciding what to take down.

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Arjan Khadka
https://arxiv.org/abs/2506.05373 https…

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Social media platforms are ecosystems in which many decisions are constantly made for the benefit of the creators in order to maximize engagement, which leads to a maximization of income. The decisions, ranging from collaboration to public conflict or ``beefing,'' are heavily influenced by social media algorithms, viewer preferences, and sponsor risk. This paper models this interaction as a Stackelberg game in which the algorithm is the leader, setting exposure and reward rules, and the content…

This https://arxiv.org/abs/2506.01046 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
Mao Luo, Zhi Wang, Yiwen Huang, Qingyun Zhang, Zhouxing Su, Zhipeng Lv, Wen Hu, Jianguo Li
https://arxiv.org/abs/2507.02635

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
Electronic payment platforms are estimated to process billions oftransactions daily, with the cumulative value of these transactionspotentially reaching into the trillions. Even a minor error within thishigh-volume environment could precipitate substantial financiallosses. To mitigate this risk, manually constructed verification rules,developed by domain experts, are typically employed to identifyand scrutinize transactions in production environments. However,due to the absence of a systematic …

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Ziwon Yoon, Lawrence Y. Zhu, Lu Gan, Ye Zhao
https://arxiv.org/abs/2506.01046

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

This https://arxiv.org/abs/2204.11748 has been replaced.
link: https://scholar.google.com/scholar?q=a

Optimal Decision Rules when Payoffs are Partially Identified
We derive asymptotically optimal statistical decision rules for discrete choice problems when payoffs depend on a partially-identified parameter $θ$ and the decision maker can use a point-identified parameter $μ$ to deduce restrictions on $θ$. Examples include treatment choice under partial identification and pricing with rich unobserved heterogeneity. Our notion of optimality combines a minimax approach to handle the ambiguity from partial identification of $θ$ given $μ$ with an average r…

Stilletjes heeft ook YouTube de richtlijnen voor desinformatie verruimd als gevolg van het Trump-tijdperk. Schelden en liegen mag vaker, vooral uit politieke bronnen. Dat ontdekte de New York Times (link zonder betaalmuur)
https://www.

Towards Safety and Security Testing of Cyberphysical Power Systems by Shape Validation
Alexander Geiger, Immanuel Hacker, \"Omer Sen, Andreas Ulbig
https://arxiv.org/abs/2506.12466

Towards Safety and Security Testing of Cyberphysical Power Systems by Shape Validation
The increasing complexity of cyberphysical power systems leads to larger attack surfaces to be exploited by malicious actors and a higher risk of faults through misconfiguration. We propose to meet those risks with a declarative approach to describe cyberphysical power systems and to automatically evaluate security and safety controls. We leverage Semantic Web technologies as a well-standardized framework, providing languages to specify ontologies, rules and shape constraints. We model infrastr…