[1] CNNIC. 第54次中国互联网络发展状况统计报告[R]. 中国互联网络信息中心, 2024. (CNNIC. The report of the 54th China Internet development statistics[R]. Information Center of the China Internet Network, 2024.)
[2] 翟姗姗, 弓越, 查思羽, 等. 基于UGC的非遗短视频传播力测度研究[J]. 现代情报, 2023, 43(1): 110-119. (ZHAI S S, GONG Y, CHA S Y, et al. Research on measurement of transmission power of intangible cultural heritage short video based on UGC[J]. Journal of modern information, 2023, 43(1): 110-119.)
[3] 搜狐网. 每分钟13场非遗内容开播!抖音发布2023非遗数据报告[EB/OL]. [2025-04-22]. https://www.sohu.com/a/683899915_119778. (Sohu.13 intangible cultural heritage (ICH) live broadcasts every minute! Douyin releases 2023 ICH data report[EB/OL]. [2025-04-22]. https://www.sohu.com/a/683899915_119778.)
[4] 哔哩哔哩. bilibili年度国风数据报告[EB/OL]. [2025-04-22]. https://www.bilibili.com/read/cv15258656/. (Bilibili. Bilibili annual chinese style data report[EB/OL]. [2025-04-22]. https://www.bilibili.com/read/cv15258656/)
[5] 蒋建华, 张涵. 非遗短视频对中华民族共同体意识的积极传播[J]. 民族学刊, 2023, 14(8): 13-20, 157. (JIANG J H, ZHANG H. The positive dissemination of a sense of Community for the Chinese Nation by intangible cultural heritage short videos[J]. Journal of ethnology, 2023, 14(8): 13-20, 157.)
[6] 王建华, 夏璐, 李本建. 基于扎根理论的非遗类短视频用户使用行为影响因素研究[J]. 东南传播, 2022(9): 61-65. (WANG J H, XIA L, LI B J. A study on the influencing factors of intangible cultural heritage short video user behavior based on grounded theory[J]. Southeast communication, 2022(9): 61-65.)
[7] 翟姗姗, 胡畔, 吴璇, 等. 基于用户信息行为的新媒体社交平台信息茧房现象及其破茧策略研究——以非遗短视频传播为例[J]. 情报科学, 2021, 39(10): 118-125. (ZHAI S S, HU P, WU X, et al. Information cocoons phenomenon of new media social platforms based on user information behavior and the cocoons breaking strategy : taking intangible cultural heritage short video communication as an example[J]. Information science, 2021, 39(10): 118-125.)
[8] 徐孝娟, 赵泽瑞. 非遗短视频用户信息需求特征及其参与行为研究——以“黄梅戏”短视频在线评论为例[J]. 现代情报, 2022, 42(8): 74-84. (XU X J, ZHAO Z R. Research on demand characteristics and participation behavior of intangible cultural heritage information of short video users[J]. Journal of modern information, 2022, 42(8): 74-84.)
[9] 李枫林, 周莎莎. 虚拟社区信息分享行为研究[J]. 图书情报工作, 2011, 55(20): 48-51. (LI F L, ZHOU S S. Information sharing behavior in virtual communities[J]. Library and information service, 2011, 55(20): 48-51.)
[10] 蔡剑, 詹庆东. 研究生群体网络信息分享行为动机研究[J]. 图书情报知识, 2012(2): 81-86. (CAI J, ZHAN Q D. A study on the motivation of graduates’ information sharing behavior on the web[J]. Documentation, information & knowledge, 2012(2): 81-86.)
[11] RIOUX K S. Information acquiring-and-sharing in Internet-based environments: an exploratory study of individual user behaviors[D]. Austin: University of Texas at Austin, 2004.
[12] 温亮明, 余波, 张妍妍, 等. 社交媒体用户信息共享影响因素模型构建[J]. 情报科学, 2017, 35(4): 15-21. (WEN L M, YU B, ZHANG Y Y, et al. Model construction of information sharing factors for social media users[J]. Information science, 2017, 35(4): 15-21.)
[13] HSU C L, LIAO Y C, LEE C W, et al. Privacy concerns and information sharing: the perspective of the U-Shaped curve[J]. Frontiers in psychology, 2022, 13: 771278.
[14] DEDEOGLU B B. Are information quality and source credibility really important for shared content on social media? the moderating role of gender[J]. International journal of contemporary hospitality management, 2019, 31(1): 513-534.
[15] LIU L, SHI Y, TIAN X, et al. How does social tie influence the user information sharing behavior in social commerce sites[C]// Proceedings of the 6th international conference on HCI in business, government and organizations. Orlando: Springer, 2019: 298-305.
[16] OH S, SYN S Y. Motivations for sharing information and social support in social media: a comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr[J]. Journal of the Association for Information Science and Technology, 2015, 66(10): 2045-2060.
[17] 王冰冰, 夏志杰, 于丽萍. 非常规突发事件中在线社会网络用户信息共享动机研究[J]. 情报杂志, 2013, 32(9): 128-131. (WANG B B, XIA Z J, YU L P. The research of motivation for information sharing of online social network users in emergency event[J]. Journal of intelligence, 2013, 32(9): 128-131.)
[18] ZHENG C. Research on the flow experience and social influences of users of short online videos: a case study of DouYin[J]. Scientific reports, 2023(13): 3312.
[19] HUANG J S, CHEN R, WANG X. Factors influencing intention to forward short Internet videos[J]. Social behavior and personality, 2012, 40(1): 5-14.
[20] HSIEH J K, HSIEH Y C, TANG Y C. Exploring the disseminating behaviors of eWOM marketing: persuasion in online video[J]. Electronic commerce research, 2012, 12(2): 201-224.
[21] 李根强, 于博祥, 邵鹏, 等. 网络嵌入视角下B站科普视频扩散的影响因素研究[J]. 科普研究, 2022, 17(3): 16-25. (LI G Q, YU B X, SHAO P, et al. Research on the influencing factors of science popularization videos diffusion of Bilibili from the perspective of network embedding[J]. Studies on science popularization, 2022, 17(3): 16-25.)
[22] 黄艳, 刘默扬, 李卫东. 政务短视频用户信息分享行为研究——以抖音和快手平台的“青年学党史”作品合集为例[J]. 北京航空航天大学学报(社会科学版), 2022, 35(1): 92-101. (HUANG Y, LIU M Y, LI W D. Information sharing behaviors of government short video users: a case study of the collection of videos of “Youth Learning Party History” on TikTok and Kuaishou platforms[J]. Journal of Beijing University of Aeronautics and Astronautics(social sciences edition), 2022, 35(1): 92-101.)
[23] 付少雄, 袁秋, 邓胜利, 等. 承诺理论视角下辟谣短视频分享意愿的驱动因素[J]. 图书馆论坛, 2023, 44(7): 128-138. (FU S X, YUAN Q, DENG S L, et al. Research on the driving factors of the willingness to share rumor-defying short videos from the perspective of commitment theory [J]. Library tribune, 2023, 44(7): 128-138.)
[24] 王文韬, 侯京豫, 钱鹏博, 等. 转发行为视角下公共图书馆短视频平台服务策略研究——以抖音为例[J]. 图书馆理论与实践, 2022(6): 121-128. (WANG W T, HOU J Y, QIAN P B, et al. Study on the service strategy of public library short video platform from the perspective of reposting behavior: a case of Tik Tok[J]. Library theory and practice, 2022(6): 121-128.)
[25] 韦景竹, 操慧子, 张乐乐. 基于在线评论的公共文化云活动用户需求研究[J]. 图书情报工作, 2022, 66(9): 66-73. (WEI J Z, CAO H Z, ZHANG L L. Research on users’ needs of public culture cloud activities based on online comments[J]. Library and information service, 2022, 66(9): 66-73.)
[26] 毕达天, 王璐, 王雨菲, 等. AIGC产品用户需求特征体系构建及改进策略研究[J]. 图书情报工作, 2024, 68(14): 14-24. (BI D T, WANG L, WANG Y F, et al. Research on the construction of user demand characteristic system and improvement strategy of AIGC products[J]. Library and information service, 2024, 68(14): 14-24.)
[27] XIANG G, LI Q, DU X, et al. Links between family cohesion and subjective well-being in adolescents and early adults: the mediating role of self-concept clarity and hope[J]. Current psychology, 2022, 41(1): 76-85.
[28] 魏孟, 郑一瑾, 王士琳, 等. 应对方式在新生代农民工基本心理需求与心理困扰之间的中介作用[J]. 现代预防医学, 2023, 50(22): 4219-4224. (WEI M, ZHENG Y J, WANG S L, et al. Mediating effects of coping styles between basic psychological needs and psychological distress among new generation migrant workers[J]. Modern preventive medicine, 2023, 50(22): 4219-4224.)
[29] 李冬梅, 杨宇, 孟湘皓, 等. 多标签分类综述[J]. 计算机科学与探索, 2023, 17(11): 2529-2542. (LI D M, YANG Y, MENG X H, et al. Review on multi-label classification[J]. Journal of frontiers of computer science and technology, 2023, 17(11): 2529-2542.)
[30] DEVLIN J, CHANG M, LEE K, et al. BERT: Pre-training of deep bidirectional transformers for language understanding[C]//Proceedings of the 2019 conference of the North American Chapter of the Association for Computational Linguistics: human language technologies, volume 1(long and short papers). Minnesota: Association for Computational Linguistics, 2019: 4171-4186.
[31] 谭荧, 张进, 夏立新. 社交媒体情境下的情感分析研究综述[J]. 数据分析与知识发现, 2020, 4(1): 1-11. (TAN Y, ZHANG J, XIA L X. A survey of sentiment analysis on social media[J]. Data analysis and knowledge discovery, 2020, 4(1): 1-11.)
[32] 李然, 林政, 林海伦, 等. 文本情绪分析综述[J]. 计算机研究与发展, 2018, 55(1): 30-52. (LI R, LIN Z, LIN H L, et al. Text emotion analysis: a survey[J]. Journal of computer research and development, 2018, 55(1): 30-52.)
[33] 钟佳娃, 刘巍, 王思丽, 等. 文本情感分析方法及应用综述[J]. 数据分析与知识发现, 2021, 5(6): 1-13. (ZHONG W W, LIU W, WANG S L, et al. Review of methods and applications of text sentiment analysis[J]. Data analysis and knowledge discovery, 2021, 5(6): 1-13.)
[34] 徐百灵, 李小琴. 融媒体短视频传播力及影响因素实证研究——以南疆县级融媒体抖音号为例[J]. 传媒, 2024(6): 35-38. (XU B L, LI X Q. An empirical study on the dissemination power and influencing factors of short video of convergence media: a case study of the Douyin account of county-level convergence media in Southern Xinjiang[J]. Media, 2024(6): 35-38.)
[35] 陆丹, 邢悦, 邓金浩然. 基于“ S-O-R”框架的政务短视频用户信息分享行为研究——以B站“共青团中央”为例[J]. 今传媒, 2024, 32(9): 33-36. (LU D, XING Y, DENG J H R. Research on the information sharing behavior of government affairs short video users based on the “S-O-R” framework: a case study of the “Central Committee of the Communist Youth League” of Bilibili[J]. Today’s mass media, 2024, 32(9): 33-36.)
[36] 王妍. 科普互动视频信息传播效果影响因素的实证研究——以B站为例[J]. 科普研究, 2022, 17(3): 26-37. (WANG Y. Empirical research on influencing factors of communication effect of science popularization interactive videos: taking Bilibili as an example[J]. Studies on science popularization, 2022, 17(3): 26-37.)