研究文章
人工智能驱动下短视频平台广告传播机制研究——以抖音平台为例
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参考
DAVENPORT T H, GUHA A, GREWAL D, et al. How artificial intelligence will change the future of marketing[J].Journal of the Academy of Marketing Science, 2020, 48(1): 24-42.
HUANG M H, RUST R T. A strategic framework for artif-icial intelligence in marketing[J]. Journal of the Academyof Marketing Science, 2021, 49(1): 30-50.
DE BRUYN A, VISWANATHAN V, BEH Y S, et al. Arti-ficial intelligence and marketing: pitfalls and opportunitie-s[ J]. Journal of Interactive Marketing, 2020, 51: 91-105.
RICCI F, ROKACH L, SHAPIRA B. Recommender Syste-ms Handbook[M]. 3rd ed. New York: Springer, 2022.
ZHOU G, ZHU X, SONG C, et al. Deep interest networkfor click-through rate prediction[C]//Proceedings of the 24th ACM SIGKDD Conference. New York: ACM, 2018:1059-1068.
BLEIER A, EISENBEISS M. Personalized online advertis-ing effectiveness: the interplay of what, when, and where-[J]. Marketing Science, 2015, 34(5): 669-688.
TUCKER C E. Social networks, personalized advertising,and privacy controls[J]. Journal of Marketing Research ,2014, 51(5): 546-562.
AGUIRRE E, MAHR D, GREWAL D, et al. Unraveling the personalization paradox[J]. Journal of Retailing, 2015,91(1): 34-49.
LI H, EDWARDS S M, LEE J H. Measuring the intrusive-ness of advertisements[J]. Journal of Advertising, 2002,31(2): 37-47.
KOMIAK S Y X, BENBASAT I. The effects of personali-zation and familiarity on trust and adoption of recommen-dation agents[J]. MIS Quarterly, 2006, 30(4): 941-960.
LOU C, YUAN S. Influencer marketing: how message value and credibility affect consumer trust[J]. Journal of Interactive Advertising, 2019, 19(1): 58-73.
MCKNIGHT D H, CHOUDHURY V, KACMAR C. Dev-eloping and validating trust measures for e-commerce[J].Information Systems Research, 2002, 13(3): 334-359.
MEHRABIAN A, RUSSELL J A. An Approach to Envir-onmental Psychology[M]. Cambridge, MA: MIT Press,1974.
全国人民代表大会常务委员会. 中华人民共和国个人信息保护法[Z]. 2021.
国家互联网信息办公室, 工业和信息化部, 公安部, 等. 互联网信息服务算法推荐管理规定[Z]. 2022.17
