Imagen de Portada

Detecting the Use of Generative AI in Crowdsourced Surveys: Implications for Data Integrity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Dapeng, Katoh, Marina, Pei, Weiping
Formato:	Preprint
Publicado:	2025
Materias:	Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
por: Constantinides, Marios, et al.
Publicado: (2024)

Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming
por: Zhang, Xinyi, et al.
Publicado: (2024)

Data Quality in Crowdsourcing and Spamming Behavior Detection
por: Ba, Yang, et al.
Publicado: (2024)

Crowdsourced Adaptive Surveys
por: Velez, Yamil
Publicado: (2024)

What Shapes Participant Data Quality? A Scoping Review and Case Study of Crowdsourced Webcam Eye Tracking in AI Interviews
por: Lau, Ka Hei Carrie, et al.
Publicado: (2026)

Is Crowdsourcing a Puppet Show? Detecting a New Type of Fraud in Online Platforms
por: Wang, Shengqian, et al.
Publicado: (2025)

Improving Data Quality via Pre-Task Participant Screening in Crowdsourced GUI Experiments
por: Miyama, Takaya, et al.
Publicado: (2026)

CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences
por: Liu, Yimeng, et al.
Publicado: (2024)

Factors in Crowdsourcing for Evaluation of Complex Dialogue Systems
por: Aicher, Annalena, et al.
Publicado: (2024)

Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation
por: Chang, Minsuk, et al.
Publicado: (2024)

Exploring the Effectiveness of Google Play Store's Privacy Transparency Channels
por: Xiang, Anhao, et al.
Publicado: (2025)

The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
por: Simkute, Auste, et al.
Publicado: (2025)

AI-Generated Content in Landscape Architecture: A Survey
por: Xing, Yue, et al.
Publicado: (2025)

Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective
por: Zhang, Shirley, et al.
Publicado: (2025)

Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations
por: Chang, Minsuk, et al.
Publicado: (2025)

Crowdsourcing Task Traces for Service Robotics
por: Porfirio, David, et al.
Publicado: (2024)

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
por: Shi, Jingyu, et al.
Publicado: (2023)

Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
por: Siro, Clemencia, et al.
Publicado: (2024)

Free Lunch for User Experience: Crowdsourcing Agents for Scalable User Studies
por: Liu, Siyang, et al.
Publicado: (2025)

A Collaborative Crowdsourcing Method for Designing External Interfaces for Autonomous Vehicles
por: Cumbal, Ronald, et al.
Publicado: (2026)

Exploring Use and Perceptions of Generative AI Art Tools by Blind Artists
por: Raman, Gayatri, et al.
Publicado: (2024)

Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
por: Zhang, Chengzhi, et al.
Publicado: (2025)

Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy
por: Mirishli, Shahmar
Publicado: (2025)

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science
por: Ma, Qianou, et al.
Publicado: (2025)

Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work
por: Qian, Alice, et al.
Publicado: (2025)

Visual Interface Workflow Management System Strengthening Data Integrity and Project Tracking in Complex Processes
por: Elri, Ömer, et al.
Publicado: (2026)

Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations
por: Ashktorab, Zahra, et al.
Publicado: (2024)

Making AI-Enhanced Videos: Analyzing Generative AI Use Cases in YouTube Content Creation
por: Anderson, Torin, et al.
Publicado: (2025)

Perception-Driven Bias Detection in Machine Learning via Crowdsourced Visual Judgment
por: Tupakula, Chirudeep, et al.
Publicado: (2025)

Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design Implications
por: Yu, Yaman, et al.
Publicado: (2024)

The Potential and Implications of Generative AI on HCI Education
por: Kharrufa, Ahmed, et al.
Publicado: (2024)

Crowdsourcing eHMI Designs: A Participatory Approach to Autonomous Vehicle-Pedestrian Communication
por: Cumbal, Ronald, et al.
Publicado: (2025)

"Ronaldo's a poser!": How the Use of Generative AI Shapes Debates in Online Forums
por: Zeng, Yuhan, et al.
Publicado: (2025)

Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data
por: Yu, Yaman, et al.
Publicado: (2025)

Beyond Numbers: Creating Analogies to Enhance Data Comprehension and Communication with Generative AI
por: Chen, Qing, et al.
Publicado: (2024)

Generative Horcrux: Designing AI Carriers for Afterlife Selves
por: Lai, Zhen-Chi, et al.
Publicado: (2026)

Evaluating Saliency Explanations in NLP by Crowdsourcing
por: Lu, Xiaotian, et al.
Publicado: (2024)

Crowdsourcing: A Framework for Usability Evaluation
por: Nasir, Muhammad
Publicado: (2024)

Efficient Online Crowdsourcing with Complex Annotations
por: Meir, Reshef, et al.
Publicado: (2024)

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