图书情报工作

图书情报工作 >

2022 , Vol. 66 >Issue 3: 106 - 117

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.03.012

情报研究

融合热点事件主题演化的民族文化扩散研究

  • 马晓悦 ,
  • 孙铭菲
展开
  • 西安交通大学新闻与新媒体学院 西安 710049
马晓悦,特聘研究员,博士,博士生导师,E-mail:xyma_mail@163.com;孙铭菲,硕士研究生。

收稿日期: 2021-04-14

  修回日期: 2021-08-28

  网络出版日期: 2022-02-16

基金资助

本文系国家自然科学基金面上项目“多模态环境下网络热点事件重提过程中的信息迁移规律与记忆机制研究”（项目编号：72174164）和陕西省社会科学基金年度项目“‘智慧广电+’背景下的陕西省应急管理公共服务体系构建研究”（项目编号：2021M004）研究成果之一。

收起

Research on the Diffusion of National Culture Integrating the Theme Evolution of Hot Topics

  • Ma Xiaoyue ,
  • Sun Mingfei
Expand
  • School of Journalism and New Media, Xi'an Jiaotong University, Xi'an 710049

Received date: 2021-04-14

  Revised date: 2021-08-28

  Online published: 2022-02-16

Fold

摘要

[目的/意义] 借助信息扩散研究方法，对伴随文化内容传播的社交媒体热点这一特殊类型事件中的民族文化演化扩散规律进行探究，为解释民族文化扩散规律、推动民族文化传播提供新视角。[方法/过程] 以微博平台“丁真事件”发布文本为数据来源。基于LDA主题模型、民族文化符号识别与情感分析构建主题—民族文化符号—情感关联网络，对热点事件中不同主题传播伴随的民族文化演化扩散动态进行情境还原。量化不同类型用户的民族文化传播影响力，探究热点事件中不同主体的民族文化传递接力过程。[结果/结论] 结果表明，从主题—民族文化符号—情感关联网络构建与传播主体影响力两大层次分析社交媒体情境下民族文化扩散路径规律，可帮助人文学者精准把握文化传播细节及其动态交互特征。

关键词： 民族文化扩散; 关联网络; 主题分析; 文化符号; 情感分析; 传播主体

本文引用格式

马晓悦 , 孙铭菲 . 融合热点事件主题演化的民族文化扩散研究[J]. 图书情报工作, 2022 , 66(3) : 106 -117 . DOI: 10.13266/j.issn.0252-3116.2022.03.012

Abstract

[Purpose/significance] With the help of the information diffusion research method, this paper explores the evolution and diffusion rules of national culture in the social media hot events that integrate cultural content diffusion, so as to provide a new perspective for explaining the diffusion rules of national culture and promoting the diffusion of national culture. [Method/process] The text of "Dingzhen Event" published by weibo platform was taken as the data source. Based on the LDA theme model, national cultural symbol recognition and emotion analysis, an association network among the theme, national cultural symbol and emotional connection was constructed to restore the dynamic situation of ethnic cultural evolution and diffusion accompanied by the diffusion of different themes in hot events. By quantifying the influence of different users on the diffusion of national culture, the paper explored the relay process of national culture of different subjects in hot topics. [Result/conclusion] The results show that the analysis of the diffusion path rules of national culture in the context of social media from the two levels of the association network construction among the theme, national culture and emotional connection, and the influence of diffusion subjects can help humanists accurately grasp the details and dynamic interaction characteristics of cultural diffusion.

Key words： diffusion of national culture; association network; topic analysis; culture symbol; emotion analysis; diffusion subject

参考文献

[1] DEMERATH L. Epistemological culture theory:a micro theory of the origin and maintenance of culture[J]. Sociological theory, 2002, 20(2):208-226.
[2] 杨懿. 符号学视域下中华传统文化的国际传播:基于贵州茶的观察[J]. 现代传播(中国传媒大学学报), 2020, 42(11):60-63.
[3] 范俊. 论中华民族共同体建设的文化符号机制[J]. 广西民族研究, 2021(2):10-16.
[4] NAVARRETE T. Digital heritage tourism:innovations in museums[J]. World leisure journal, 2019, 61(3):200-214.
[5] 谭必勇,陈艳. 文化遗产的社交媒体保护与开发策略研究——基于"长尾效应"的讨论[J]. 情报科学, 2018, 36(3):20-25.
[6] HIMELBOIM I, SMITH M A, RAINIE L, et al. Classifying Twitter topic-networks using social network analysis[EB/OL].[2021-12-15]. https://journals.sagepub.com/doi/full/10.1177/2056305117691545.
[7] YOO E, GU B, RABINOVICH E. Diffusion on social media platforms:a point process model for interaction among similar content[J]. Journal of management information systems, 2019, 36(4):1105-1141.
[8] 王晰巍,张柳,韦雅楠,等. 社交网络舆情中意见领袖主题图谱构建及关系路径研究——基于网络谣言话题的分析[J]. 情报资料工作, 2020, 41(2):47-55.
[9] WANG Z S, LIU H Y, LIU W, et al. Understanding the power of opinion leaders' influence on the diffusion process of popular mobile games:travel frog on sina weibo[EB/OL].[2021-12-15]. https://www.sciencedirect.com/science/article/pii/S0747563220301072.
[10] NISSENBAUM A, SHIFMAN L. Internet memes as contested cultural capital:the case of 4chan's/b/board[J]. New media & society, 2017, 19(4):483-501.
[11] GAL N, SHIFMAN L, KAMPF Z. "It gets better":Internet memes and the construction of collective identity[J]. New media & society, 2016, 18(8):1698-1714.
[12] KATZ Y, SHIFMAN L. Making sense? the structure and meanings of digital memetic nonsense[J]. Information communication & society, 2017, 20(6):825-842.
[13] SHIFMAN L. Cross-cultural comparisons of user-generated content:an analytical framework[J]. International journal of communication, 2016, 10:5644-5663.
[14] 安璐,梁艳平. 突发公共卫生事件微博话题与用户行为选择研究[J]. 数据分析与知识发现, 2019, 3(4):33-41.
[15] XU W W, PARK J, PARK H W. Longitudinal dynamics of the cultural diffusion of Kpop on YouTube[J]. Quality & quantity, 2017, 51(4):1859-1875.
[16] 梁晨晨,李仁杰. 综合LDA与特征维度的丽江古城意象感知分析[J]. 地理科学进展, 2020, 39(4):614-626.
[17] 沈雨婕,王媛,许鑫,等. 华亭初见记:文化记忆视角下的上海旅游形象感知[J]. 图书馆论坛, 2020, 40(10):59-65.
[18] 薛可,李柔. 非物质文化遗产数字信息对受众城市认同的影响——基于新浪微博的实证研究[J]. 现代传播(中国传媒大学学报), 2020, 42(11):19-26.
[19] BARADARAN J L, ARSHADI R. Semiology of culture in James Joyce's a portrait of the artist as a young man[J]. Advances in language and literary studies, 2018, 9(4):51-58.
[20] 杨盈龙,冯应谦. "本真性"塑造:垂直类音乐综艺节目符号与意义的文化生产[J]. 现代传播(中国传媒大学学报), 2020, 42(5):99-104.
[21] 赵星植. 论皮尔斯符号学中的传播学思想[J]. 国际新闻界, 2017, 39(6):87-104.
[22] 吴来安. 融入"家"文化:央视公益广告的文化传播符号分析[J]. 新闻大学, 2018(2):138-148,155.
[23] 张欣,郭继荣,车向前. 吉尔吉斯斯坦国对中国文化的感知研究——基于WEKA平台对小样本问卷调查的分析[J]. 情报杂志,2021,40(8):136-141,126.
[24] 任向红,冉彬. 宗族观念与姓氏延续——陇西李氏文化符号影像[J]. 图书与情报, 2020(4):140-144.
[25] 乔新华. "天下第一廉吏":清前期一个文化符号的形塑与意涵[J]. 清华大学学报(哲学社会科学版), 2019, 34(1):32-43.
[26] BAKER E W, HUBONA G S, SRITE M. Does "being there" matter? the impact of Web-based and virtual world's shopping experiences on consumer purchase attitudes[EB/OL].[2021-12-15]. https://www.sciencedirect.com/science/article/pii/S037872061731073X.
[27] NISSENBAUM A, SHIFMAN L. Meme templates as expressive repertoires in a globalizing world:a cross-linguistic study[J]. Journal of computer-mediated communication, 2018, 23(5):294-310.
[28] WIGGINS B E, BOWERS G B. Memes as genre:a structurational analysis of the memescape[J]. New media & society, 2015, 17(11):1886-1906.
[29] SEIFFERT-BROCKMANN J, DIEHL T, DOBUSCH L. Memes as games:the evolution of a digital discourse online[J]. New media & society, 2018, 20(8):2862-2879.
[30] 曹树金,岳文玉. 突发公共卫生事件微博舆情主题挖掘与演化分析[J]. 信息资源管理学报, 2020, 10(6):28-37.
[31] 赵蓉英,常茹茹,陈湛,等. 基于知乎平台的突发公共卫生事件主题演化研究[J]. 信息资源管理学报, 2021, 11(2):52-59.
[32] 安璐,杜廷尧,李纲,等. 突发公共卫生事件利益相关者在社交媒体中的关注点及演化模式[J]. 情报学报, 2018, 37(4):394-405.
[33] 丁晟春,王鹏鹏,龚思兰. 基于社区发现和关键词共现的网络舆情潜在主题发现研究——以新浪微博魏则西事件为例[J]. 情报科学, 2018, 36(7):78-84.
[34] 安璐,欧孟花. 突发公共卫生事件利益相关者的社会网络情感图谱研究[J]. 图书情报工作, 2017, 61(20):120-130.
[35] 王志刚,邱长波,崔晶. 微博舆情情绪表达差异研究——以"中美贸易战"为例[J]. 情报杂志, 2021, 40(7):101-106.
[36] KIM S, LEE K Y, SHIN S I, et al. Effects of tourism information quality in social media on destination image formation:the case of Sina Weibo[J]. Information & management, 2017, 54(6):687-702.
[37] RAO Y H, XIE H R, LI J, et al. Social emotion classification of short text via topic-level maximum entropy model[J]. Information & management, 2016, 53(8):978-986.
[38] STIEGLITZ S, DANG-XUAN L. Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior[J]. Journal of management information systems, 2014, 29(4):217-248.
[39] WU P, LI X T, SHEN S, et al. Social media opinion summarization using emotion cognition and convolutional neural networks[EB/OL].[2021-12-15]. https://www.sciencedirect.com/science/article/pii/S0268401218313690.
[40] 安璐,李倩.基于热点主题识别的突发事件次生衍生事件探测[J].情报资料工作,2020,41(6):26-35.
[41] 李艺全,张燕刚.高校网络舆情共振现象仿真及应对策略研究[J].情报杂志,2019,38(12):107-113.
[42] 王丽君,戴建华.网络舆情衍生链的定量分析方法研究[J].情报科学,2016,34(7):59-63.
[43] 高宾,王兰成.网络衍生舆情的传播模型及分析方法研究[J].情报理论与实践,2019,42(3):166-170,165.
[44] 尹熙成,朱恒民,马静,等. 微博舆情话题传播的耦合网络模型——分析话题衍生性特征与用户阅读心理[J]. 情报理论与实践, 2015, 38(11):82-86.
[45] HAGEN L. Content analysis of e-petitions with topic modeling:how to train and evaluate LDA models?[J]. Information processing & management, 2018, 54(6):1292-1307.
[46] MAIER D, WALDHERR A, MILTNER P, et al. Applying LDA topic modeling in communication research:toward a valid and reliable methodology[J]. Communication methods and measures, 2018, 12(2/3):93-118.
[47] YANG B, LIU Y, LIANG Y, et al. Exploiting user experience from online customer reviews for product design[J]. International journal of information management, 2019, 46:173-186.
[48] MANUEL HERNANDEZ-MOGOLLON J, ALEXANDRE DUARTE P, ANTONIO FOLGADO-FERNANDEZ J. The contribution of cultural events to the formation of the cognitive and affective images of a tourist destination[J]. Journal of destination marketing & management, 2018, 8:170-178.
Options
文章导航

/

〈 〉