{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T09:43:58Z","timestamp":1776591838955,"version":"3.51.2"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031853975","type":"print"},{"value":"9783031853982","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-85398-2_44","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:12:29Z","timestamp":1767323549000},"page":"499-509","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI Hallucinations on Marketing: A Systematic Review of Risks, Impacts, and Mitigation Strategies and Future Directions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9675-5683","authenticated-orcid":false,"given":"Joana","family":"Neves","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3431-1141","authenticated-orcid":false,"given":"Miguel Cachulo","family":"Pereira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9674-4167","authenticated-orcid":false,"given":"Lara Mendes","family":"Bacalhau","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"issue":"1","key":"44_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1177\/1094670520902266","volume":"24","author":"M-H Huang","year":"2020","unstructured":"Huang, M.-H., Rust, R.T.: Engaged to a robot? The role of AI in service. J. Serv. Res. 24(1), 30\u201341 (2020)","journal-title":"J. Serv. Res."},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Wei, Z., et al.: Detecting and mitigating the ungrounded hallucinations in text generation by LLMs. In: ACM International Conference Proceeding Series. Association for Computing Machinery (2023)","DOI":"10.1145\/3661638.3661653"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"Bender, E.M., et al.: On the dangers of stochastic parrots. In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery: Virtual Event, Canada. p. 610\u2013623 (2021)","DOI":"10.1145\/3442188.3445922"},{"issue":"12","key":"44_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3571730","volume":"55","author":"Z Ji","year":"2023","unstructured":"Ji, Z., et al.: Survey of hallucination in natural language generation. ACM Comput. Surv. 55(12), 1\u201338 (2023)","journal-title":"ACM Comput. Surv."},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Galitsky, B., Chernyavskiy, A., Ilvovsky, D.: Truth-O-meter: handling multiple inconsistent sources repairing LLM hallucinations. In: SIGIR 2024\u2014Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2024. Association for Computing Machinery, Inc. (2024)","DOI":"10.1145\/3626772.3657679"},{"key":"44_CR6","unstructured":"Thorne, J., Vlachos, A.: Automated fact checking: task formulations, methods and future directions (2018)"},{"key":"44_CR7","doi-asserted-by":"crossref","unstructured":"Lin, Z., et al.: Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models. Artif. Intell. Rev. 57(9) (2024)","DOI":"10.1007\/s10462-024-10896-y"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Fan, W., et al.: A survey on RAG meeting LLMs: towards retrieval-augmented large language models. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (2024)","DOI":"10.1145\/3637528.3671470"},{"key":"44_CR9","unstructured":"Bui, A.T.M., et al.: The two sides of the coin: hallucination generation and detection with LLMs as evaluators for LLMs. In: CEUR Workshop Proceedings. CEUR-WS (2024)"},{"key":"44_CR10","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page, M.J., et al.: The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71 (2021)","journal-title":"BMJ"},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Alonso, I., Agirre, E.: Automatic logical forms improve fidelity in table-to-text generation. Expert. Syst. Appl. 238 (2024)","DOI":"10.1016\/j.eswa.2023.121869"},{"key":"44_CR12","doi-asserted-by":"crossref","unstructured":"Chen, Y., et al. Hallucination detection: robustly discerning reliable answers in large language models. In International Conference on Information and Knowledge Management, Proceedings. Association for Computing Machinery (2023)","DOI":"10.1145\/3583780.3614905"},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"de Almeida da Silva, W., et al.: Mitigation of hallucinations in language models in education: a new approach of comparative and cross-verification. In: Proceedings\u20142024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024. Institute of Electrical and Electronics Engineers Inc. (2024)","DOI":"10.1109\/ICALT61570.2024.00066"},{"issue":"1","key":"44_CR14","doi-asserted-by":"publisher","first-page":"16375","DOI":"10.1038\/s41598-024-66708-4","volume":"14","author":"G Hao","year":"2024","unstructured":"Hao, G., et al.: Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks. Sci. Rep. 14(1), 16375 (2024)","journal-title":"Sci. Rep."},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Hu, R., et al.: Evaluation of hallucination and robustness for large language models. In: Proceedings\u20142023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2023. Institute of Electrical and Electronics Engineers Inc. (2023)","DOI":"10.1109\/QRS-C60940.2023.00089"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Jiang, L., et al.: Hallucination detection in LLM-enriched product listings. In: 7th Workshop on e-Commerce and NLP, ECNLP 2024 at LREC-COLING 2024 - Workshop Proceedings 2024. European Language Resources Association (ELRA) (2024)","DOI":"10.63317\/4r7nnjatdqim"},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: HaluEval: A large-scale hallucination evaluation benchmark for large language models. In: EMNLP 2023\u20142023 Conference on Empirical Methods in Natural Language Processing, Proceedings 2023. Association for Computational Linguistics (ACL) (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.397"},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Maynez, J., et al.: On faithfulness and factuality in abstractive summarization. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics 2020. Association for Computational Linguistics (ACL) (2020)","DOI":"10.18653\/v1\/2020.acl-main.173"}],"container-title":["Studies in Systems, Decision and Control","Business Models of the Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-85398-2_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T08:51:16Z","timestamp":1776588676000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-85398-2_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783031853975","9783031853982"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-85398-2_44","relation":{},"ISSN":["2198-4182","2198-4190"],"issn-type":[{"value":"2198-4182","type":"print"},{"value":"2198-4190","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}