Cover Image

Can Third-parties Read Our Emotions?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiayi, Zhou, Yingfan, Venkit, Pranav Narayanan, Islam, Halima Binte, Arya, Sneha, Wilson, Shomir, Rajtmajer, Sarah
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas
by: Venkit, Pranav Narayanan, et al.
Published: (2025)

An Audit on the Perspectives and Challenges of Hallucinations in NLP
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

Sociodemographic Bias in Language Models: A Survey and Forward Path
by: Gupta, Vipul, et al.
Published: (2023)

The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content
by: Wang, Xinyu, et al.
Published: (2024)

CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
by: Gupta, Vipul, et al.
Published: (2023)

Race and Privacy in Broadcast Police Communications
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge
by: Chakravorti, Tatiana, et al.
Published: (2026)

Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
by: Ghosh, Sourojit, et al.
Published: (2024)

NLP Meets the World: Toward Improving Conversations With the Public About Natural Language Processing Research
by: Wilson, Shomir
Published: (2025)

InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation
by: Li, Yu, et al.
Published: (2026)

The Need for a Socially-Grounded Persona Framework for User Simulation
by: Venkit, Pranav Narayanan, et al.
Published: (2026)

Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter
by: Wang, Xinyu, et al.
Published: (2024)

Social Scientists on the Role of AI in Research
by: Chakravorti, Tatiana, et al.
Published: (2025)

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
by: Koneru, Sai, et al.
Published: (2023)

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence
by: Venkit, Pranav Narayanan, et al.
Published: (2025)

MMPersuade: A Dataset and Evaluation Framework for Multimodal Persuasion
by: Qiu, Haoyi, et al.
Published: (2025)

What Are Research Hypotheses?
by: Wu, Jian, et al.
Published: (2025)

Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
by: Wang, Xinyu, et al.
Published: (2024)

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
by: Gautam, Sanjana, et al.
Published: (2024)

Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
by: Guo, Hangzhi, et al.
Published: (2024)

Rethinking How We Discuss the Guidance of Student Researchers in Computing
by: Wilson, Shomir
Published: (2025)

Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI system
by: Zhou, Yingfan, et al.
Published: (2025)

Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
by: Choubey, Prafulla Kumar, et al.
Published: (2026)

Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
by: Koneru, Sai, et al.
Published: (2026)

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
by: Oram, Sneha, et al.
Published: (2026)

CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
by: Obadage, Rochana R., et al.
Published: (2025)

Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues
by: Sasu, David, et al.
Published: (2025)

Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
by: Koneru, Sai, et al.
Published: (2026)

What if AI systems weren't chatbots?
by: Ghosh, Sourojit, et al.
Published: (2026)

Automated Detection and Analysis of Data Practices Using A Real-World Corpus
by: Srinath, Mukund, et al.
Published: (2024)

Can LLMs Solve My Grandma's Riddle? Evaluating Multilingual Large Language Models on Reasoning Traditional Bangla Tricky Riddles
by: Sayeedi, Nurul Labib, et al.
Published: (2025)

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
by: Wang, Xinyu, et al.
Published: (2026)

Can Large Language Models Handle Discourse Particles? A Case Study of Colloquial Malay
by: Yusoff, Mariah Al Giptiah Binte, et al.
Published: (2026)

The study of short texts in digital politics: Document aggregation for topic modeling
by: Nakka, Nitheesha, et al.
Published: (2025)

Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
by: Wang, Xinyu, et al.
Published: (2024)

How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
by: Wang, Mengqi, et al.
Published: (2025)

Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection
by: Siregar, Arya Muda, et al.
Published: (2026)

Can ChatGPT Read Who You Are?
by: Derner, Erik, et al.
Published: (2023)

Can Generative Agents Predict Emotion?
by: Regan, Ciaran, et al.
Published: (2024)