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Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
Apr 30, 2026Ali Aghazadeh Ardebili, Massimo StellaLarge Language Model Bias Demographics
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Learnable Time-Frequency Masks for Explaining Time-Series Classifiers
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Contextual Tamil Spelling and Grammar Correction Using Progressively Fine-Tuned Sequence-to-Sequence Transformers
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Pyramid Self-Contrastive Learning for Single-shot Test-time Ultrasound Image Denoising
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Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams
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May 24, 2026Wenjie Zheng, Haoji Hu, Jiali Lu +2Dense Semantic Segmentation Dense Prediction
PlantPose: Universal Plant Skeleton Estimation via Tree-constrained Graph Generation
May 18, 2026Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1Skeletonization 3D Plant Phenotyping
Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
May 11, 2026Yasiru Ranasinghe, Elim Schenck, Florence Yellin +3Open-Vocabulary Object Detection Thermal Imaging
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment
Aug 5, 2026Yu Zhao, Jiangyu Pan, Tao Hu +4Autonomous Driving Perception Autonomous Driving
DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery
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Separate Aggregation of Split Network for Personalized Federated Learning
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Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models
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Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid
May 18, 2026Aritra Ghosh, Drew Oldag, Michael Tauraso +29Unsupervised Machine Learning
On the Fragility of Data Attribution When Learning Is Distributed
May 15, 2026Xian Gao, Bo Hui, Min-Te Sun +1Training Data Attribution Visual Attribution
PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
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Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks
Sep 1, 2026C. J. Moore, Alex Hurt, Jordan MalofModern Deep Networks State-Of-The-Art
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
Jul 24, 2026Peiyong Wang, Udaya Parampalli, Casey R. MyersQuantum Machine Learning
Comparing Transformers and Hybrid Models at the Token Level
Jun 18, 2026Yanhong Li, William MerrillTransformer Architectures Token-Level Uncertainty
MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings
May 28, 2026Valentina Bui Muti, Eugénie Dulout, Ziquan FuElectronic Health Records Diagnostic Benchmark
Auditable Climate Risk Intelligence from Fragmented ESG Data: Deterministic Orchestration and Imbalance-Aware Learning for Scope 1-3 Validation
May 23, 2026Karan Sehgal, Khawar Naveed BhattiContent Provenance Reproducibility
FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling
May 6, 2026Guangyi Zhang, Yi Dai, Yiyun He +1Federated Learning Single-Cell Rna Sequencing
Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images
May 1, 2026Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula +4Retinal Vessel Segmentation Voxel
Semi-parametric Functional Classification via Path Signatures Logistic Regression with Adaptive Order Selection
Jul 9, 2025Pengcheng Zeng, Siyuan JiangSemiparametric Framework Logistic Regression
FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking
Jul 29, 2026Muñoz-Haro Javier, Teruel Andres, Tolosana Ruben +4Digital Forensics Anonymization
FF-ProCams: Feed-Forward Gaussian Splatting for Projector-Camera System
Jul 20, 2026Ziyao Wang, Yuqi Li, Wenxing Zheng +2Inverse Rendering Fringe Projection Profilometry

Apr 30, 2026 · cs.CLJ/K move · Enter open · S save

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

Ali Aghazadeh Ardebili, Massimo Stella

CogNosco Lab, University of Trento, Department of Psychology and Cognitive Science, Trento, Italy

Large Language Models (LLMs) can strongly shape social discourse, yet datasets investigating how LLM outputs vary across controlled social and contextual prompting remain sparse. Cognitive Digital Shadows (CDS) is a 190,000-record synthetic corpus supporting analyses of LLM-generated discourse. Each CDS record is generated by one of 19 LLMs, prompted to shadow either a human persona or an AI-assistant role. CDS contains LLM responses on 4 controversial societal topics: vaccines/healthcare, social media disinformation, the gender gap in science, and STEM stereotypes. Persona-conditioned records encode 17 sociodemographic and psychological attributes, providing data linking LLMs' prompts, language, stances and reasoning. Texts are validated for topic anchoring and can support emotional analyses via interpretable NLP (e.g. textual forma mentis networks). CDS is enriched by a pooling platform with user-friendly dashboards, enabling easy, interactive group-level comparisons of emotional and semantic framing across personas, topics and models. The CDS prompting framework supports future audits of LLMs' bias, social sensitivity and alignment.

Large Language Model Bias Demographics Discourse Personality Social Dynamics Social Media Text Corpora

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