Imagen de Portada

Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tari, Henry, Sereiva, Nojus, Kaushal, Rishabh, Bertaglia, Thales, Iamnitchi, Adriana
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research
por: Tari, Henry, et al.
Publicado: (2024)

InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection
por: Bertaglia, Thales, et al.
Publicado: (2024)

Towards Fairness Assessment of Dutch Hate Speech Detection
por: Bauer, Julie, et al.
Publicado: (2025)

The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement
por: Bertaglia, Thales, et al.
Publicado: (2024)

Measuring Privacy vs. Fidelity in Synthetic Social Media Datasets
por: Tari, Henry, et al.
Publicado: (2026)

Influencer Self-Disclosure Practices on Instagram: A Multi-Country Longitudinal Study
por: Bertaglia, Thales, et al.
Publicado: (2024)

LinGO: A Linguistic Graph Optimization Framework with LLMs for Interpreting Intents of Online Uncivil Discourse
por: Zhang, Yuan, et al.
Publicado: (2026)

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
por: Gui, Haoyang, et al.
Publicado: (2025)

The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act
por: Goanta, Catalina, et al.
Publicado: (2025)

Computational Studies in Influencer Marketing: A Systematic Literature Review
por: Gui, Haoyang, et al.
Publicado: (2025)

Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
por: Bertaglia, Thales, et al.
Publicado: (2026)

Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
por: Gui, Haoyang, et al.
Publicado: (2024)

Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
por: Kaushal, Rishabh, et al.
Publicado: (2024)

Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models
por: Ahnert, Georg, et al.
Publicado: (2024)

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
por: Mori, Shinka, et al.
Publicado: (2024)

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
por: Zhou, Xiaofan, et al.
Publicado: (2025)

WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models
por: Zhao, Wenlong, et al.
Publicado: (2024)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
por: Li, Kun, et al.
Publicado: (2024)

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

Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
por: Tasnim, Nazia, et al.
Publicado: (2024)

SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
por: Kazemi, Arefeh, et al.
Publicado: (2025)

Large Language Models and Synthetic Data for Monitoring Dataset Mentions in Research Papers
por: Solatorio, Aivin V., et al.
Publicado: (2025)

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
por: Vijjini, Anvesh Rao, et al.
Publicado: (2024)

AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models
por: Jiao, Junfeng, et al.
Publicado: (2025)

A Chinese Multi-label Affective Computing Dataset Based on Social Media Network Users
por: Zhou, Jingyi, et al.
Publicado: (2024)

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
por: Chu, Minh Duc, et al.
Publicado: (2024)

Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models
por: Khandelwal, Khyati, et al.
Publicado: (2023)

Detecting Synthetic Political Narratives in Cross-Platform Social Media Discourse
por: Antonakaki, Despoina, et al.
Publicado: (2026)

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation
por: Mou, Xinyi, et al.
Publicado: (2024)

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
por: Yilmaz, Berk, et al.
Publicado: (2025)

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
por: Bao, Han, et al.
Publicado: (2026)

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
por: Bhuiyan, Mohaiminul Islam, et al.
Publicado: (2025)

Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media
por: Xu, Wentao, et al.
Publicado: (2025)

Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
por: Bonagiri, Akash, et al.
Publicado: (2025)

Covert Bias: The Severity of Social Views' Unalignment in Language Models Towards Implicit and Explicit Opinion
por: Aldayel, Abeer, et al.
Publicado: (2024)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
por: Li, Bohan, et al.
Publicado: (2024)

Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
por: Lin, Hao, et al.
Publicado: (2025)

Inference-Time Reasoning Selectively Reduces Implicit Social Bias in Large Language Models
por: Apsel, Molly, et al.
Publicado: (2026)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
por: Pang, Xianghe, et al.
Publicado: (2024)

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product
por: Basak, Madhusudan, et al.
Publicado: (2024)