@inproceedings{liu-2025-quantum,
    title = "Quantum Perspectives on Persuasive Language in {AI}-Generated News: A {QNLP}-Based Analysis",
    author = "Liu, Jung-Hua",
    editor = "Chang, Kai-Wei  and
      Lu, Ke-Han  and
      Yang, Chih-Kai  and
      Tam, Zhi-Rui  and
      Chang, Wen-Yu  and
      Wang, Chung-Che",
    booktitle = "Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)",
    month = nov,
    year = "2025",
    address = "National Taiwan University, Taipei City, Taiwan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/dashboard/2025.rocling-main.39/",
    pages = "358--368",
    ISBN = "979-8-89176-379-1",
    abstract = "This study applies quantum natural language processing (QNLP) to 298 Chinese AI-generated YouTube news articles. Using IBM Qiskit, we reveal multi-reality narratives with high frame competition but low conflict. Headlines employ emotion, content stays neutral or positive, showing strategic ambiguity. QNLP metrics highlight persuasive tactics and implications for communication theory and AI ethics."
}