From Chaos to Spheres: Identification and Characterization of Social Risks in Short Videos of Emergencies
Huang Shijing1,2, Li Jiaxuan2, Shen Hongzhou3, Yuan Qinjian2
1.High-Quality Development Evaluation Research Institute, Nanjing University of Posts and Telecommunications, Nanjing 210003 2.School of Information Management, Nanjing University, Nanjing 210023 3.School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003
摘要突发事件下,短视频社会风险形态分散、结构不明且演化迅速,识别其内在结构与演化路径有助于提升突发事件舆情风险的精准治理能力。本研究提出一种从混沌到圈层的分析框架,对突发事件短视频社会风险进行识别和画像。首先,基于复杂系统视角,揭示短视频社会风险从混沌到圈层的转化机制,并构建“信息-情感”与“个体-集体”双轴空间,为风险圈层识别提供理论基础;其次,建立多层级特征工程指标体系,结合变分自编码器(variational autoencoder,VAE)、HDBSCAN(hierarchical density-based spatial clustering of applications with noise)与K-means聚类,实现风险圈层的识别和画像;最后,基于马尔可夫转移分析风险圈层的演化路径与转移机制。研究发现,突发事件短视频社会风险可识别为六大风险圈层,不同圈层在风险强度、内容特征和空间分布上存在明显差异,其演化呈现升级与分流并存的路径特征,不同事件类型下的演化路径也存在差异。本研究将分散的风险信息转化为结构化的社会风险情报,深化了对突发事件短视频社会风险内在结构与演化规律的认识,可为舆情风险的分级研判与分类治理提供决策依据。
黄仕靖, 李佳轩, 沈洪洲, 袁勤俭. 从混沌到圈层:突发事件短视频社会风险的识别与画像研究[J]. 情报学报, 2026, 45(7): 986-1002.
Huang Shijing, Li Jiaxuan, Shen Hongzhou, Yuan Qinjian. From Chaos to Spheres: Identification and Characterization of Social Risks in Short Videos of Emergencies. 情报学报, 2026, 45(7): 986-1002.
1 Li H W. The language of new media journalism on short video sharing websites—a case study of TikTok journalism[J]. Academic Journal of Management and Social Sciences, 2023, 3(1): 33-41. 2 Ausat A M A. The role of social media in shaping public opinion and its influence on economic decisions[J]. Technology and Society Perspectives, 2023, 1(1): 35-44. 3 Gao Y C, Liu F M, Gao L. Echo chamber effects on short video platforms[J]. Scientific Reports, 2023, 13: Article No.6282. 4 刘子溪, 朱学芳, 李川. 失望情绪影响下突发公共危机事件的负面网络谣言传播研究[J]. 情报理论与实践, 2024, 47(5): 167-174. 5 胡凯茜, 李欣, 王龙腾. 基于BERTopic模型的网络暴力事件衍生舆情探测[J]. 情报杂志, 2024, 43(7): 146-153. 6 Ma H T, Ali D A, Wang L P. TikTok research on the intermediary role of short video news in breaking through local relations[J]. Media and Communication Research, 2024, 5(2): 66-71. 7 祝琳琳, 李贺, 刘嘉宇, 等. 社交媒体信息影响力形成因素与关联路径研究[J]. 图书情报工作, 2024, 68(13): 110-121. 8 Zhong Z J, Luo Z Y, Chen Y L, et al. Anger expressions of social media users following different crisis response strategies towards health emergency[J]. Journal of Contingencies and Crisis Management, 2024, 32(3): e12615. 9 王连喜, 廖信峰, 陈宣齐, 等. 基于扩散模型数据增强的突发公共卫生事件谣言检测研究[J]. 情报杂志, 2025, 44(11): 188-197, 135. 10 张继东, 蒋丽萍. 融入用户群体行为的移动社交网络舆情传播动态演化模型研究[J]. 现代情报, 2021, 41(5): 159-166, 177. 11 谢起慧, 席鹏莹, 蔡子庆. 突发事件中多元主体如何生成舆情反转: 敏感性、权威度和参与策略[J]. 系统管理学报, 2025, 34(2): 463-476. 12 王楠, 宋晓宇, 姜家慧, 等. 基于博弈论视角的短视频用户信息传播模型及实证研究——以“钟薛高烧不化事件”为例[J]. 情报理论与实践, 2023, 46(9): 142-148, 141. 13 常宁, 刘明强, 范振坤, 等. 信息生态视角下热点舆论传播多点触发机制实证研究[J]. 情报科学, 2023, 41(11): 120-127, 169. 14 刘春年, 陈梦秋. 基于线索效用理论的用户虚假信息感知与互动行为研究——面向深度伪造信息[J]. 情报杂志, 2023, 42(10): 96-104, 19. 15 张敏, 沈嘉裕. 突发公共卫生事件中政务短视频主题与用户行为的关联演化研究[J]. 情报杂志, 2023, 42(3): 181-189. 16 Zhang X C, Ghorbani A A. An overview of online fake news: characterization, detection, and discussion[J]. Information Processing & Management, 2020, 57(2): 102025. 17 张瀚予, 丁怡宁, 郭思琪. 信息茧房效应下用户群体极化形成机理研究[J]. 图书与情报, 2024(3): 132-144. 18 宋士杰, 赵宇翔, 朱庆华. 社交媒体中失真健康信息的传播、识别与纠偏研究[J]. 情报杂志, 2023, 42(6): 162-169. 19 付少雄, 宋金铃, 邓胜利, 等. 虚假短视频多模态内容语义操纵对用户信任的影响研究[J]. 图书馆杂志, 2025, 44(2): 108-119, 129. 20 田浩. 从“极化”到“情感极化”: 数字性的兴起及其文化影响[J]. 苏州大学学报(哲学社会科学版), 2024, 45(6): 177-185. 21 邱程程, 彭向斌, 胡城铭, 等. 信息茧房效应下用户情感极化影响因素及路径研究[J]. 图书馆学研究, 2024(7): 94-109. 22 Baumann F, Lorenz-Spreen P, Sokolov I M, et al. Modeling echo chambers and polarization dynamics in social networks[J]. Physical Review Letters, 2020, 124(4): 048301. 23 M?lmen G N, Ravndal J A. Mechanisms of online radicalisation: how the Internet affects the radicalisation of extreme-right lone actor terrorists[J]. Behavioral Sciences of Terrorism and Political Aggression, 2023, 15(4): 463-487. 24 Kreiss D, McGregor S C. A review and provocation: on polarization and platforms[J]. New Media and Society, 2024, 26(1): 556-579. 25 邵鹏, 赵世岭. 突发公共卫生事件次生灾害防控的政府网络话语框架研究——基于7个超大城市政务微博的分析[J]. 情报杂志, 2023, 42(8): 123-128. 26 韩明星, 许莉薇, 李佳轩. 基于对比驱动特征增强的多模态虚假信息检测模型[J]. 数据分析与知识发现, 2026, 10(5): 103-116. 27 李玥琪, 王晰巍, 王秋月. 基于多模态大语言模型的社交媒体多模态情感分析模型研究[J]. 情报理论与实践, 2025, 48(11): 188-197. 28 Grzenkowicz M, Wildfeuer J. Addressing TikTok’s multimodal complexity: a multi-level annotation scheme for the audio-visual design of short video content[J]. Digital Scholarship in the Humanities, 2025, 40(4): 1143-1166. 29 Kaliyar R K, Goswami A, Narang P. FakeBERT: fake news detection in social media with a BERT-based deep learning approach[J]. Multimedia Tools and Applications, 2021, 80(8): 11765-11788. 30 郭慧, 王亚楠, 王欣艳, 等. 基于组合相似度动态聚类和词熵的网络话题在线检测[J]. 情报杂志, 2024, 43(5): 159-166. 31 陈亮, 余池, 尚玮姣, 等. 基于密度聚类算法改进的语义主路径分析方法研究[J]. 情报学报, 2024, 43(3): 287-301. 32 Ball-Rokeach S J, DeFleur M L. A dependency model of mass-media effects[J]. Communication Research, 1976, 3(1): 3-21. 33 Huang Y, Yang C. A metacognitive approach to reconsidering risk perceptions and uncertainty: understand information seeking during COVID-19[J]. Science Communication, 2020, 42(5): 616-642. 34 Hu X, Song Y Q, Zhu R L, et al. Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic[J]. Journal of Affective Disorders, 2022, 308: 360-368. 35 Holland J. Hidden order[J]. Business Week-Domestic Edition, 1995, 21: 93-136. 36 魏艳秋, 陈晶露, 徐晓惠, 等. 社会互动视角下的有意识情绪感染[J]. 心理科学, 2023, 46(1): 130-136. 37 Tajfel H. Social identity and intergroup relations[M]. Cambridge: Cambridge University Press, 1982. 38 McGarty C, Turner J C, Hogg M A, et al. Group polarization as conformity to the prototypical group member[J]. British Journal of Social Psychology, 1992, 31(1): 1-19. 39 Jost J T, Baldassarri D S, Druckman J N. Cognitive-motivational mechanisms of political polarization in social-communicative contexts[J]. Nature Reviews Psychology, 2022, 1(10): 560-576. 40 Wright S C. The next generation of collective action research[J]. Journal of Social Issues, 2009, 65(4): 859-879. 41 Lasser J, Poechhacker N. Designing social media content recommendation algorithms for societal good[J]. Annals of the New York Academy of Sciences, 2025, 1548(1): 20-28.