mlsanityData to 14 Oct 2026

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media

arXiv 2509.22055 ↗First posted 26 Sep 2025cs.CLcited by 0

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Abstract (arXiv)

We introduce RedNote-Vibe, a dataset spanning five years (pre-LLM to July 2025) sourced from lifestyle platform RedNote (Xiaohongshu), capturing the temporal dynamics of content creation and is enriched with comprehensive engagement metrics. To address the detection challenge posed by RedNote-Vibe, we propose the PsychoLinguistic AIGT Detection Framework (PLAD). Grounded in cognitive psychology, PLAD leverages deep psychological signatures for robust and interpretable detection. Our experiments demonstrate PLAD's superior performance and reveal insights into content dynamics: (1) human content continues to outperform AI in emotionally resonant domains; (2) AI content is more homogeneous and rarely produces breaking posts, however, this human-AI gap narrows for arousing higher-investment interactions; and (3) most interestingly, a small group of users who strategically utilize AI tools can achieve higher engagement outcomes. The dataset is available at https://github.com/ydli-ai/RedNote-Vibe

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 24 of its 59 references that are in the map. First posted on arXiv 26 Sep 2025.

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References · 24

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12 more
  1. 2020TweepFake: about Detecting Deepfake Tweetscited by 117
  2. 2023Origin Tracing and Detecting of LLMscited by 40
  3. 2025Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judgecited by 36
  4. 2024Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Mediacited by 35
  5. 2024Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Samplingcited by 20
  6. 2024StyloAI: Distinguishing AI-Generated Content with Stylometric Analysiscited by 17
  7. 2020CHECKED: Chinese COVID-19 Fake News Datasetcited by 11
  8. 2024Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Bettercited by 11
  9. 2024Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Textscited by 10
  10. 2023Who Said That? Benchmarking Social Media AI Detectioncited by 9
  11. 2024PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learningcited by 7
  12. 2024ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midtermscited by 1

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