Tootfinder

Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases
Bufan Gao, Elisa Kreiss
https://arxiv.org/abs/2509.04373 https://

Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases
As LLMs are increasingly applied in socially impactful settings, concerns about gender bias have prompted growing efforts both to measure and mitigate such bias. These efforts often rely on evaluation tasks that differ from natural language distributions, as they typically involve carefully constructed task prompts that overtly or covertly signal the presence of gender bias-related content. In this paper, we examine how signaling the evaluative purpose of a task impacts measured gender bias in …

Game-theoretic Social Distancing in Competitive Bi-Virus SIS Epidemics
Benjamin Catalano, Keith Paarporn, Sebin Gracy
https://arxiv.org/abs/2510.02269 https://

Game-theoretic Social Distancing in Competitive Bi-Virus SIS Epidemics
Numerous elements drive the spread of infectious diseases in complex real-world networks. Of particular interest is social behaviors that evolve in tandem with the spread of disease. Moreover, recent studies highlight the importance of understanding how multiple strains spread simultaneously through a population (e.g. Delta and Omicron variants of SARS-CoV-2). In this paper, we propose a bi-virus SIS epidemic model coupled with a game-theoretic social distancing behavior model. The behaviors ar…

The evolution of trust as a cognitive shortcut in repeated interactions
Cedric Perret, The Anh Han, Elias Fern\'andez Domingos, Theodor Cimpeanu, Simon T. Powers
https://arxiv.org/abs/2509.04143

The evolution of trust as a cognitive shortcut in repeated interactions
Trust is often thought to increase cooperation. However, game-theoretic models often fail to distinguish between cooperative behaviour and trust. This makes it difficult to measure trust and determine its effect in different social dilemmas. We address this here by formalising trust as a cognitive shortcut in repeated games. This functions by avoiding checking a partner's actions once a threshold level of cooperativeness has been observed. We consider trust-based strategies that implement this …

Gravity Well Echo Chamber Modeling With An LLM-Based Confirmation Bias Model
Joseph Jackson, Georgiy Lapin, Jeremy E. Thompson
https://arxiv.org/abs/2509.03832 https://

Gravity Well Echo Chamber Modeling With An LLM-Based Confirmation Bias Model
Social media echo chambers play a central role in the spread of misinformation, yet existing models often overlook the influence of individual confirmation bias. An existing model of echo chambers is the "gravity well" model, which creates an analog between echo chambers and spatial gravity wells. We extend this established model by introducing a dynamic confirmation bias variable that adjusts the strength of pull based on a user's susceptibility to belief-reinforcing content. This variable is …

Strategic Analysis of Dissent and Self-Censorship
Joshua J. Daymude, Robert Axelrod, Stephanie Forrest
https://arxiv.org/abs/2509.03731 https://arxiv.org/p…

Strategic Analysis of Dissent and Self-Censorship
Expressions of dissent against authority are an important feature of most societies, and efforts to suppress such expressions are common. Modern digital communications, social media, and Internet surveillance and censorship technologies are changing the landscape of public speech and dissent. Especially in authoritarian settings, individuals must assess the risk of voicing their true opinions or choose self-censorship, voluntarily moderating their behavior to comply with authority. We present a…

Learning to Generate Object Interactions with Physics-Guided Video Diffusion
David Romero, Ariana Bermudez, Hao Li, Fabio Pizzati, Ivan Laptev
https://arxiv.org/abs/2510.02284 h…

Learning to Generate Object Interactions with Physics-Guided Video Diffusion
Recent models for video generation have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and embodied decision making. Despite strong advances, however, current approaches still struggle to generate physically plausible object interactions and lack physics-grounded control mechanisms. To address this limitation, we introduce KineMask, an approach fo…

Yet more presumably to HostRoyale, who has not been considered a major player in the hosting business afaik. And they are not particularly cheap. But they are acquiring a substantial amount of v4 space that is making me at least, perk up and take notice. Something is driving these purchases, and I'm afraid to learn what that is if I start digging.
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Post by IP/ASN Transfers, @transfers@bgp.tools
"Bath Iron Works Corporation" (ARIN) transferred: 167.150.164.0/23 (Taken from 167.150.164.0/20), 167.150.108.0/23 (Taken from 167.150.104.0 - 167.150.152.255), 167.150.174.0/23 (Taken from 167.150.164.0/20), 167.150.168.0/23 (Taken from 167.150.164.0/20), 167.150.184.0/23 (Taken from 167.15...

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
Haiyang Li, Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong
https://arxiv.org/abs/2509.25991

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
In recent years, detecting fake multimodal content on social media has drawn increasing attention. Two major forms of deception dominate: human-crafted misinformation (e.g., rumors and misleading posts) and AI-generated content produced by image synthesis models or vision-language models (VLMs). Although both share deceptive intent, they are typically studied in isolation. NLP research focuses on human-written misinformation, while the CV community targets AI-generated artifacts. As a result, e…

Social Photo-Elicitation: The Use of Communal Production of Meaning to Hear a Vulnerable Population
Aakash Gautam, Chandani Shrestha, Deborah Tatar, Steve Harrison
https://arxiv.org/abs/2510.00964

Social Photo-Elicitation: The Use of Communal Production of Meaning to Hear a Vulnerable Population
We report on an initial ethnographic exploration of the situation of sex-trafficking survivors in Nepal. In the course of studying trafficking survivors in a protected-living situation created by a non-governmental organization in Nepal, we adapted photo-elicitation to hear the voices of the survivors by making the technique more communal. Bringing sociality to the forefront of the method reduced the pressure on survivors to assert voices as individuals, allowing them to speak. We make three co…

The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching
Adel Vehrer, Zsolt Palfalusi
https://arxiv.org/abs/2509.00110

The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching
This study explores how virtual environments and artificial intelligence can enhance university students' learning experiences, with particular attention to the digital preferences of Generation Z. An experiment was conducted at the Faculty of Pedagogy, Humanities, and Social Sciences at University of Gyor, where Walter's Cube technology and a trained AI mediator were integrated into the instruction of ten philosophical topics. The curriculum was aligned with the official syllabus and enriched …