Humanwashing -- It Should Leave You Feeling Dirty
Fuente:
arXiv
Saved in:
| Main Authors: | Wilson, Ben, Swana, Matimba, Winter, Peter, Roach, Matt |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Context-Aware Prediction of User Engagement on Online Social Platforms
by: Peters, Heinrich, et al.
Published: (2023)
by: Peters, Heinrich, et al.
Published: (2023)
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
by: Zhan, Zhongwei, et al.
Published: (2023)
by: Zhan, Zhongwei, et al.
Published: (2023)
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
by: Zhang, Yanming, et al.
Published: (2024)
by: Zhang, Yanming, et al.
Published: (2024)
Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
by: Esposito, Naomi, et al.
Published: (2026)
by: Esposito, Naomi, et al.
Published: (2026)
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text
by: Franchini, Sebastiano, et al.
Published: (2026)
by: Franchini, Sebastiano, et al.
Published: (2026)
LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
by: Carrillo, Alexis, et al.
Published: (2026)
by: Carrillo, Alexis, et al.
Published: (2026)
Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
by: Verma, Akriti, et al.
Published: (2025)
by: Verma, Akriti, et al.
Published: (2025)
Detection and Characterization of Coordinated Online Behavior: A Survey
by: Mannocci, Lorenzo, et al.
Published: (2024)
by: Mannocci, Lorenzo, et al.
Published: (2024)
Multimodal Coordinated Online Behavior: Trade-offs and Strategies
by: Mannocci, Lorenzo, et al.
Published: (2025)
by: Mannocci, Lorenzo, et al.
Published: (2025)
USE: Dynamic User Modeling with Stateful Sequence Models
by: Zhou, Zhihan, et al.
Published: (2024)
by: Zhou, Zhihan, et al.
Published: (2024)
User Modeling and User Profiling: A Comprehensive Survey
by: Purificato, Erasmo, et al.
Published: (2024)
by: Purificato, Erasmo, et al.
Published: (2024)
RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
by: Goel, Drishti, et al.
Published: (2026)
by: Goel, Drishti, et al.
Published: (2026)
Large Language Models Can Infer Psychological Dispositions of Social Media Users
by: Peters, Heinrich, et al.
Published: (2023)
by: Peters, Heinrich, et al.
Published: (2023)
"Are You Sure?": An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems
by: Li, Xinfeng, et al.
Published: (2026)
by: Li, Xinfeng, et al.
Published: (2026)
VERA-MH Concept Paper
by: Belli, Luca, et al.
Published: (2025)
by: Belli, Luca, et al.
Published: (2025)
Addressing the Synergy Gap: The Six Elements of the Design Space
by: Turchi, Tommaso, et al.
Published: (2026)
by: Turchi, Tommaso, et al.
Published: (2026)
Using Grok to Avoid Personal Attacks While Correcting Misinformation on X
by: Caramancion, Kevin Matthe
Published: (2026)
by: Caramancion, Kevin Matthe
Published: (2026)
Personality Engineering with AI Agents: A New Methodology for Negotiation Research
by: Vaccaro, Michelle A., et al.
Published: (2026)
by: Vaccaro, Michelle A., et al.
Published: (2026)
Why Human Guidance Matters in Collaborative Vibe Coding
by: Hu, Haoyu, et al.
Published: (2026)
by: Hu, Haoyu, et al.
Published: (2026)
VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
by: Hoes, Emma, et al.
Published: (2026)
by: Hoes, Emma, et al.
Published: (2026)
Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students' Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis
by: Su, Hanyu, et al.
Published: (2026)
by: Su, Hanyu, et al.
Published: (2026)
Bots Don't Sit Still: A Longitudinal Study of Bot Behaviour Change, Temporal Drift, and Feature-Structure Evolution
by: Alzahrani, Ohoud, et al.
Published: (2025)
by: Alzahrani, Ohoud, et al.
Published: (2025)
Characterising Behavioural Families and Dynamics of Promotional Twitter Bots via Sequence-Based Modelling
by: Alzahrani, Ohoud, et al.
Published: (2025)
by: Alzahrani, Ohoud, et al.
Published: (2025)
DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship
by: Li, Yaqiong, et al.
Published: (2024)
by: Li, Yaqiong, et al.
Published: (2024)
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models
by: Tank, Chayan, et al.
Published: (2024)
by: Tank, Chayan, et al.
Published: (2024)
Adversarial Botometer: Adversarial Analysis for Social Bot Detection
by: Najari, Shaghayegh, et al.
Published: (2024)
by: Najari, Shaghayegh, et al.
Published: (2024)
Reconfiguring Participatory Design to Resist AI Realism
by: Gautam, Aakash
Published: (2024)
by: Gautam, Aakash
Published: (2024)
Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective
by: Huang, Heye, et al.
Published: (2025)
by: Huang, Heye, et al.
Published: (2025)
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
by: Cima, Lorenzo, et al.
Published: (2024)
by: Cima, Lorenzo, et al.
Published: (2024)
From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora
by: Morini, Virginia, et al.
Published: (2024)
by: Morini, Virginia, et al.
Published: (2024)
Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity
by: Nudo, Jacopo, et al.
Published: (2025)
by: Nudo, Jacopo, et al.
Published: (2025)
Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
by: Chen, Shifu, et al.
Published: (2025)
by: Chen, Shifu, et al.
Published: (2025)
A large-scale evaluation of commonsense knowledge in humans and large language models
by: Nguyen, Tuan Dung, et al.
Published: (2025)
by: Nguyen, Tuan Dung, et al.
Published: (2025)
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
by: Ma, Mingyu Derek, et al.
Published: (2023)
by: Ma, Mingyu Derek, et al.
Published: (2023)
The Nexus of AR/VR, AI, UI/UX, and Robotics Technologies in Enhancing Learning and Social Interaction for Children with Autism Spectrum Disorders: A Systematic Review
by: Paneru, Biplov
Published: (2024)
by: Paneru, Biplov
Published: (2024)
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
by: Chhan, David, et al.
Published: (2024)
by: Chhan, David, et al.
Published: (2024)
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
by: Peters, Heinrich, et al.
Published: (2024)
by: Peters, Heinrich, et al.
Published: (2024)
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
by: Hasan, Md Rakibul, et al.
Published: (2023)
by: Hasan, Md Rakibul, et al.
Published: (2023)
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
by: Lu, Hsiao-Ying, et al.
Published: (2024)
by: Lu, Hsiao-Ying, et al.
Published: (2024)
Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News
by: Abels, Axel, et al.
Published: (2024)
by: Abels, Axel, et al.
Published: (2024)
Similar Items
-
Context-Aware Prediction of User Engagement on Online Social Platforms
by: Peters, Heinrich, et al.
Published: (2023) -
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
by: Zhan, Zhongwei, et al.
Published: (2023) -
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
by: Zhang, Yanming, et al.
Published: (2024) -
Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
by: Esposito, Naomi, et al.
Published: (2026) -
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text
by: Franchini, Sebastiano, et al.
Published: (2026)