Cover Image

Identifying public values and spatial conflicts in urban planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herzog, Rico H., Gonçalves, Juliana E., Slingerland, Geertje, Kleinhans, Reinout, Prang, Holger, Brazier, Frances, Verma, Trivik
Format:	Preprint
Published:	2022
Subjects:	Computers and Society Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Urban Model Platform: A Public Backbone for Modeling and Simulation in Urban Digital Twins
by: Herzog, Rico H, et al.
Published: (2025)

You Don't Have to Live Next to Me: Towards Demobilizing Individualistic Bias in Computational Approaches to Urban Segregation
by: Vybornova, Anastassia, et al.
Published: (2025)

Identifying attributions of causality in political text
by: Garcia-Corral, Paulina
Published: (2025)

Identifying Emerging Concepts in Large Corpora
by: Ma, Sibo, et al.
Published: (2025)

Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
by: Dutta, Aditi, et al.
Published: (2025)

Improving Graduate Outcomes by Identifying Skills Gaps and Recommending Courses Based on Career Interests
by: Soni, Rahul, et al.
Published: (2025)

Cross-cultural value alignment frameworks for responsible AI governance: Evidence from China-West comparative analysis
by: Liu, Haijiang, et al.
Published: (2025)

Language statistics at different spatial, temporal, and grammatical scales
by: Sánchez-Puig, Fernanda, et al.
Published: (2022)

The role of spatial scales in assessing urban mobility models
by: Mepparambath, Rakhi Manohar, et al.
Published: (2026)

Identifying Climate Targets in National Laws and Policies using Machine Learning
by: Juhasz, Matyas, et al.
Published: (2024)

Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)

Exploring the effect of spatial scales in studying urban mobility pattern
by: Huynh, Hoai Nguyen
Published: (2025)

Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
by: Verma, Rakesh M., et al.
Published: (2024)

Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
by: Raiyan, Syed Rifat
Published: (2026)

MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
by: Jin, Yiqiao, et al.
Published: (2024)

To what extent is ChatGPT useful for language teacher lesson plan creation?
by: Dornburg, Alex, et al.
Published: (2024)

Uncovering Regulatory Affairs Complexity in Medical Products: A Qualitative Assessment Utilizing Open Coding and Natural Language Processing (NLP)
by: Han, Yu, et al.
Published: (2023)

From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
by: Cheng, Myra, et al.
Published: (2025)

Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
by: Chu, Minh Duc, et al.
Published: (2024)

Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech
by: Mujtaba, Dena, et al.
Published: (2024)

Identifying Cyberbullying Roles in Social Media
by: Sandoval, Manuel, et al.
Published: (2024)

The Biased Samaritan: LLM biases in Perceived Kindness
by: Fagan, Jack H, et al.
Published: (2025)

Identifying Implicit Social Biases in Vision-Language Models
by: Hamidieh, Kimia, et al.
Published: (2024)

Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes
by: Saqr, Mohammed, et al.
Published: (2024)

Cultural Compass: A Framework for Organizing Societal Norms to Detect Violations in Human-AI Conversations
by: Cheng, Myra, et al.
Published: (2026)

Interrogating LLM design under a fair learning doctrine
by: Wei, Johnny Tian-Zheng, et al.
Published: (2025)

Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis
by: Debnath, Ramit, et al.
Published: (2024)

Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use
by: Chandra, Mohit, et al.
Published: (2024)

Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
by: Momin, Khondhaker Al, et al.
Published: (2024)

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
by: Verma, Gaurav, et al.
Published: (2025)

Assessing the Impact of Conspiracy Theories Using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)

Generative agents in the streets: Exploring the use of Large Language Models (LLMs) in collecting urban perceptions
by: Verma, Deepank, et al.
Published: (2023)

Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks
by: Møller, Anders Giovanni, et al.
Published: (2024)

A semantic embedding space based on large language models for modelling human beliefs
by: Lee, Byunghwee, et al.
Published: (2024)

Involvement drives complexity of language in online debates
by: Amadori, Eleonora, et al.
Published: (2025)

The Statistical Signature of LLMs
by: Hadad, Ortal, et al.
Published: (2026)

The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
by: Møller, Anders Giovanni, et al.
Published: (2023)

AWARE, Beyond Sentence Boundaries: A Contextual Transformer Framework for Identifying Cultural Capital in STEM Narratives
by: Khan, Khalid Mehtab, et al.
Published: (2025)

Extracting narrative signals from public discourse: a network-based approach
by: Pournaki, Armin, et al.
Published: (2024)

Programming in Brazilian Higher Education and High School: A Systematic Literature Review
by: Gonçalves, Sofia C. Latini, et al.
Published: (2025)