Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Wang, Stephanie, Huang, Shengchun, Zhou, Alvin, Metaxa, Danaë |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
par: Morales-Navarro, Luis, et autres
Publié: (2024)
par: Morales-Navarro, Luis, et autres
Publié: (2024)
Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
par: Kadoma, Kowe, et autres
Publié: (2024)
par: Kadoma, Kowe, et autres
Publié: (2024)
Longitudinal Monitoring of LLM Content Moderation of Social Issues
par: Dai, Yunlang, et autres
Publié: (2025)
par: Dai, Yunlang, et autres
Publié: (2025)
"You Can Actually Do Something'': Shifts in High School Computer Science Teachers' Conceptions of AI/ML Systems and Algorithmic Justice
par: Noh, Daniel J., et autres
Publié: (2026)
par: Noh, Daniel J., et autres
Publié: (2026)
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters
par: Vogelstein, Lauren, et autres
Publié: (2026)
par: Vogelstein, Lauren, et autres
Publié: (2026)
Identity-related Speech Suppression in Generative AI Content Moderation
par: Proebsting, Grace, et autres
Publié: (2024)
par: Proebsting, Grace, et autres
Publié: (2024)
Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model
par: Morales-Navarro, Luis, et autres
Publié: (2025)
par: Morales-Navarro, Luis, et autres
Publié: (2025)
Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
par: Noh, Daniel J., et autres
Publié: (2025)
par: Noh, Daniel J., et autres
Publié: (2025)
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
par: Kadoma, Kowe, et autres
Publié: (2023)
par: Kadoma, Kowe, et autres
Publié: (2023)
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
par: Morales-Navarro, Luis, et autres
Publié: (2024)
par: Morales-Navarro, Luis, et autres
Publié: (2024)
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
par: Chen, Chaoran, et autres
Publié: (2024)
par: Chen, Chaoran, et autres
Publié: (2024)
Designing an Intervention Tool for End-User Algorithm Audits in Personalized Recommendation Systems
par: Wu, Qunfang, et autres
Publié: (2024)
par: Wu, Qunfang, et autres
Publié: (2024)
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
par: Deng, Wesley Hanwen, et autres
Publié: (2025)
par: Deng, Wesley Hanwen, et autres
Publié: (2025)
Examining the Impact of Label Detail and Content Stakes on User Perceptions of AI-Generated Images on Social Media
par: Chen, Jingruo, et autres
Publié: (2025)
par: Chen, Jingruo, et autres
Publié: (2025)
EventLines: Time Compression for Discrete Event Timelines
par: Wong, Yuet Ling, et autres
Publié: (2025)
par: Wong, Yuet Ling, et autres
Publié: (2025)
Untangling the Timeline: Challenges and Opportunities in Supporting Version Control in Modern Computer-Aided Design
par: Deng, Yuanzhe, et autres
Publié: (2026)
par: Deng, Yuanzhe, et autres
Publié: (2026)
KnowledgeTrail: Generative Timeline for Exploration and Sensemaking of Historical Events and Knowledge Formation
par: Suh, Sangho, et autres
Publié: (2025)
par: Suh, Sangho, et autres
Publié: (2025)
Promptimizer: User-Led Prompt Optimization for Personal Content Classification
par: Wang, Leijie, et autres
Publié: (2025)
par: Wang, Leijie, et autres
Publié: (2025)
WEIRD Audits? Research Trends, Linguistic and Geographical Disparities in the Algorithm Audits of Online Platforms -- A Systematic Literature Review
par: Urman, Aleksandra, et autres
Publié: (2024)
par: Urman, Aleksandra, et autres
Publié: (2024)
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
par: Fan, Xianzhe, et autres
Publié: (2024)
par: Fan, Xianzhe, et autres
Publié: (2024)
Everyone's Privacy Matters! An Analysis of Privacy Leakage from Real-World Facial Images on Twitter and Associated User Behaviors
par: Niu, Yuqi, et autres
Publié: (2025)
par: Niu, Yuqi, et autres
Publié: (2025)
To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents
par: Wang, Kyra, et autres
Publié: (2025)
par: Wang, Kyra, et autres
Publié: (2025)
Is User Perception the Key to Unlocking the Full Potential of Business Process Management Systems (BPMS)? Enhancing BPMS Efficacy Through User Perception
par: Martin-Navarro, Alicia, et autres
Publié: (2025)
par: Martin-Navarro, Alicia, et autres
Publié: (2025)
Characterizing Collective Efforts in Content Sharing and Quality Control for ADHD-relevant Content on Video-sharing Platforms
par: Zhu, Hanxiu 'Hazel', et autres
Publié: (2025)
par: Zhu, Hanxiu 'Hazel', et autres
Publié: (2025)
Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument
par: Morales-Navarro, Luis, et autres
Publié: (2026)
par: Morales-Navarro, Luis, et autres
Publié: (2026)
Privacy in Immersive Extended Reality: Exploring User Perceptions, Concerns, and Coping Strategies
par: Hadan, Hilda, et autres
Publié: (2025)
par: Hadan, Hilda, et autres
Publié: (2025)
Exploring Large Quantities of Secondary Data from High-Resolution Synchrotron X-ray Computed Tomography Scans Using AccuStripes
par: Heim, Anja, et autres
Publié: (2025)
par: Heim, Anja, et autres
Publié: (2025)
Watching AI Think: User Perceptions of Visible Thinking in Chatbots
par: Cox, Samuel Rhys, et autres
Publié: (2026)
par: Cox, Samuel Rhys, et autres
Publié: (2026)
Users' Perception on Appropriateness of Robotic Coaching Assistant's Disclosure Behaviors
par: Nilgar, Atikkhan Faridkhan, et autres
Publié: (2024)
par: Nilgar, Atikkhan Faridkhan, et autres
Publié: (2024)
Trust in Transparency: How Explainable AI Shapes User Perceptions
par: Sunny, Allen Daniel
Publié: (2025)
par: Sunny, Allen Daniel
Publié: (2025)
Chronological Outlooks of Globe Illustrated with Web-Based Visualization
par: Hossain, Tahmim, et autres
Publié: (2024)
par: Hossain, Tahmim, et autres
Publié: (2024)
Human Perception of LLM-generated Text Content in Social Media Environments
par: Radivojevic, Kristina, et autres
Publié: (2024)
par: Radivojevic, Kristina, et autres
Publié: (2024)
TimelinePTC: Development of a unified interface for pathways to care collection, visualization, and collaboration in first episode psychosis
par: Mathis, Walter S., et autres
Publié: (2024)
par: Mathis, Walter S., et autres
Publié: (2024)
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor
par: Jhaver, Shagun, et autres
Publié: (2023)
par: Jhaver, Shagun, et autres
Publié: (2023)
Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication
par: Kandel, Jade, et autres
Publié: (2025)
par: Kandel, Jade, et autres
Publié: (2025)
"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
par: Xu, Yuansong, et autres
Publié: (2026)
par: Xu, Yuansong, et autres
Publié: (2026)
User Understanding of Privacy Permissions in Mobile Augmented Reality: Perceptions and Misconceptions
par: Paneva, Viktorija, et autres
Publié: (2025)
par: Paneva, Viktorija, et autres
Publié: (2025)
Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
par: Zhang, Shuning, et autres
Publié: (2025)
par: Zhang, Shuning, et autres
Publié: (2025)
Attention-Aware Visualization: Tracking and Responding to User Perception Over Time
par: Srinivasan, Arvind, et autres
Publié: (2024)
par: Srinivasan, Arvind, et autres
Publié: (2024)
Generative Timelines for Instructed Visual Assembly
par: Pardo, Alejandro, et autres
Publié: (2024)
par: Pardo, Alejandro, et autres
Publié: (2024)
Documents similaires
-
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
par: Morales-Navarro, Luis, et autres
Publié: (2024) -
Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
par: Kadoma, Kowe, et autres
Publié: (2024) -
Longitudinal Monitoring of LLM Content Moderation of Social Issues
par: Dai, Yunlang, et autres
Publié: (2025) -
"You Can Actually Do Something'': Shifts in High School Computer Science Teachers' Conceptions of AI/ML Systems and Algorithmic Justice
par: Noh, Daniel J., et autres
Publié: (2026) -
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters
par: Vogelstein, Lauren, et autres
Publié: (2026)