{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T04:38:55Z","timestamp":1768970335697,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819601189","type":"print"},{"value":"9789819601196","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0119-6_18","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T18:15:50Z","timestamp":1731780950000},"page":"177-183","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Human- and AI-Generated Marketing Content Comparison Corpus, Evaluation, and Detection"],"prefix":"10.1007","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[]},{"given":"Yuduo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Haitao","family":"Xiong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Communications of the ACM 63(11), 139\u2013144 (2020)","DOI":"10.1145\/3422622"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Du, W., et al.: FinGuard: a multimodal AIGC guardrail in financial scenarios. In: Proceedings of the 5th ACM International Conference on Multimedia in Asia, pp. 1\u20133 (2023)","DOI":"10.1145\/3595916.3626351"},{"key":"18_CR3","unstructured":"Chen, X., Hu, Z., Wang, C.: Empowering education development through AIGC: a systematic literature review. Education and Information Technologies, pp. 1\u201353 (2024)"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Yang, Q., He, M., Li, Z., He, T., Jeon, S.: A semantic enhanced knowledge graph embedding model with AIGC designed for healthcare prediction. IEEE Transactions on Consumer Electronics (2024)","DOI":"10.1109\/TCE.2024.3398207"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Zhao, Y.: Exploring the application and influence of artificial intelligence AIGC technology on logo design. In: 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023), pp. 451\u2013459. Atlantis Press (2023)","DOI":"10.2991\/978-94-6463-266-8_49"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Du, Z., et al.: Glm: General Language Model Pretraining with Autoregressive Blank Infilling. arXiv preprint arXiv:2103.10360 (2021)","DOI":"10.18653\/v1\/2022.acl-long.26"},{"key":"18_CR7","unstructured":"Kowalczyk, P., R\u00f6der, M., Thiesse, F.: Nudging Creativity in Digital Marketing with Generative Artificial Intelligence: Opportunities and Limitations (2023)"},{"key":"18_CR8","unstructured":"Guo, B., et al.: How Close is Chatgpt to Human Experts? Comparison Corpus, Evaluation, and Detection. arXiv preprint arXiv:2301.07597 (2023)"},{"key":"18_CR9","unstructured":"Wang, J., Liu, S., Xie, X., Li, Y.: Evaluating Aigc Detectors on Code Content. arXiv preprint arXiv:2304.05193 (2023)"},{"key":"18_CR10","unstructured":"Barbieri, F., Anke, L.E., Camacho-Collados, J.: XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond. arXiv preprint arXiv:2104.12250 (2021)"},{"key":"18_CR11","unstructured":"Xie, Z., Bi, R.: Construction and inference technology of a large-scale chinese concreteness dictionary (in Chinese). J. Peking University (Natural Science Edition) 58(1), 1\u20136 (2022)"},{"key":"18_CR12","unstructured":"Mitchell, E., Lee, Y., Khazatsky, A., Manning, C.D., Finn, C.: Detectgpt: zero-shot machine-generated text detection using probability curvature. In: International Conference on Machine Learning, pp. 24950\u201324962. PMLR (2023)"},{"key":"18_CR13","unstructured":"Grootendorst, M.: BERTopic: Neural Topic Modeling with a Class-based TF-IDF Procedure. arXiv preprint arXiv:2203.05794 (2022)"},{"key":"18_CR14","unstructured":"Liu, Y., et al.: Roberta: A Robustly Optimized Bert Pretraining Approach. arXiv preprint arXiv:1907.11692 (2019)"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2024: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0119-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T12:35:45Z","timestamp":1737635745000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0119-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9789819601189","9789819601196"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0119-6_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,12]]},"assertion":[{"value":"12 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}