CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation

Source

• Source name: arXiv
• Source kind: paper
• Authors / organization: Yaoning Yu, Kai-Min Chang, Ye Yu, Yi-Chia Wang, Haojing Luo, Haohan Wang
• Venue: arXiv: cs.AI
• Published: 2026-08-10
• Collected: 2026-08-11
• URL: http://arxiv.org/abs/2608.09790v1
• PDF: https://arxiv.org/pdf/2608.09790v1
• DOI: UNKNOWN
• Registry group: academic_apis_and_preprints
• Evidence role: canonical_academic_index
• Language: en
• Country / region: UNKNOWN

Plain-Language Brief

The authors introduce a framework called CARD for generating realistic credit card discussion threads on online platforms, such as Reddit. The framework takes into account various factors like reply structure, comment function, stance, tone, and conversational variation to create more natural-sounding discussions. It uses a planner, a writer, and a calibration loop to generate the discussions and adjusts them based on real threads to improve their accuracy.

What the Document Says

• The authors present CARD, a framework for generating credit card discussion threads that mimic real user interactions.
• CARD uses non-verbatim guidance on reply structure, comment function, stance, tone, and conversational variation.
• A planner organizes the controls, a writer generates the discussions, and a calibration loop updates comments' populations to improve accuracy.

Key Concepts Mentioned

• Credit card discussion threads
• Online platforms (e.g., Reddit)
• Non-verbatim guidance
• Reply structure
• Comment function
• Stance
• Tone
• Conversational variation
• Planner
• Writer
• Calibration loop

Claims Made by the Document

• CARD generates more realistic credit card discussion threads than simulation baselines.

Evidence Used

• The authors evaluate CARD on real Reddit credit card discussions using various metrics, and the results show that it performs better than the baselines.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

Online credit card discussions provide a natural setting for studying how consumers communicate about financial products. Simulating these discussions requires more than just generating individual comments, the generated threads should also match how real users express themselves and interact with others. We introduce CARD, a framework for generating realistic credit card discussion threads. Given a credit card post and its matched real thread, CARD uses non-verbatim guidance on reply structure, comment function, stance, tone, and conversational variation. A planner organizes these controls, a writer generates the discussion, and a calibration loop updates comments' populations that contribute to differences between the generated and real thread distributions. We evaluate CARD on real Reddit credit card discussions using lexical, semantic, behavioral, and structural metrics. CARD matches the distributions of real credit card discussions better than simulation baselines across multiple LLMs and also demonstrates smaller effect sizes and distribution distances across metrics. These results show that structured planning and targeted revision can generate the realism of simulated credit card discussions.