王益君,黄诗韵

• 1:西安建筑科技大学公共管理学院

摘要(Abstract)：

政府与公众的沟通至关重要，但当发生网络舆情热点事件时，政府作出回应是否一定能影响公众情感并缓和舆情?本文选取“胡鑫宇事件”作为研究对象，采用图片情感分析模型ResNet50分析抖音视频的情感特征，研究政府回应前后抖音博主不同的情感变化，并实证分析了政府回应内容对抖音博主情感的影响。研究结果发现：(1)抖音平台发生网络舆情热点事件时，政府回应有时不仅不能缓解舆情，反而会增强抖音博主的负面情感；(2)政府回应内容质量与回应间隔时间都会影响抖音博主的情感变化，但是前者的影响更为重要；(3)政府回应内容质量越高，抖音博主的正面情感倾向越强；政府回应间隔时间越长，抖音博主的正面情感倾向越弱。本文得出的研究结论与启示对于政府防范和治理抖音等短视频新媒体的网络舆情有重要意义。

关键词(KeyWords)： 政府回应;网络舆情;短视频;情感分析

Abstract:

Keywords:

基金项目(Foundation): 教育部人文社科交叉项目“重大公共政策调整的网络舆情风险实时监测预警方法研究”(项目批准号:23YJAZH147)的资助

作者(Author): 王益君,黄诗韵

参考文献(References)：

• 毕翔，唐存琛，肖俏.2019.短视频社交媒介舆情监测与危机防范机制研究[J].情报理论与实践，42(10):102-108.Bi X,Tang C C,Xiao Q.2019.Research on public opinion monitoring and crisis prevention mechanism of short video[J].Information Studies:Theory & Application,42(10):102-108.(in Chinese)
• 常多粉，郑伟海.2023.网络问政时代政府回应如何驱动公众参与——基于领导留言板面板数据的实证分析[J].社会发展研究，10(2):139-159.Chang D F,Zheng W H.2023.Whether government responsiveness improves public participation?An empirical analysis based on the leadership message board[J].Journal of Social Development,10(2):139-159.(in Chinese)
• 陈登建，夏换，赵浩宇.2023.风险沟通视角下政务微博中公众的情感风险识别与预警研究[J].情报资料工作，44(5):39-49.Chen D J,Xia H,Zhao H Y.2023.Research on Public emotional risk identification and early warning in Government Microblog from the perspective of risk communication[J].Information and Documentation Services,44(5):39-49.(in Chinese)
• 陈俊芬，赵佳成，韩洁，等.2020.基于深度特征表示的Softmax聚类算法[J].南京大学学报(自然科学),56(4):533-540.Chen J F,Zhao J C,Han J,et al.2020.Softmax clustering algorithm based on deep features representation[J].Journal of Nanjing University (Natural Science),56(4):533-540.(in Chinese)
• 陈璟浩，王有峰，聂卉梓.2022.突发事件短视频舆情演化分析模型研究[J].信息资源管理学报，12(3):152-164,180.Chen J H,Wang Y F,Nie H Z.2022.Computational analysis of public opinion evolution of short video in emergencies[J].Journal of Information Resources Management,12(3):152-164,180.(in Chinese)
• 陈婉颖.2023.网络舆情中新闻短视频的共情叙事研究[J].传媒，(14):94-96.Chen W Y.2023.Research on empathic narration of short news videos in network public opinion[J].Media,(14):94-96.(in Chinese)
• 戴亦陶，李沐林，李恒旭.2021.抖音时代的涉警网络舆情防控策略研究[J].法制与社会，(3):121-122.Dai Y T,Li M M,Li H X.2021.Research on prevention and control strategy of police-related network public opinion in the era of Tiktok[J].Legal System and Society,(3):121-122.(in Chinese)
• 邓春林，刘晓晴.2023.重大突发事件中社交媒体用户情感体验关键影响因素识别研究[J].情报科学，41(9):48-58.Deng C L,Liu X Q.2023.Identification of key influencing factors of social media users' emotional experience in major emergencies[J].Information Science,41(9):48-58.(in Chinese)
• 邓卫华，吕佩.2021.反转或缓解?突发事件政府回应有效性研究——基于在线文本情感分析[J].中国行政管理，(2):123-130.Deng W H,Lü P.2021.Reversion or ease?Research on the effectiveness of government response in emergencies—Sentiment analysis based on online text[J].Chinese Public Administration,(2):123-130.(in Chinese)
• 范涛，吴鹏，曹琪.2020.基于深度学习的多模态融合网民情感识别研究[J].信息资源管理学报，10(1):39-48.Fan T,Wu P,Cao Q.2020.The research of sentiment recognition of online users based on DNNs multimodal fusion[J].Journal of Information Resources Management,10(1):39-48.(in Chinese)
• 高虒源，张桂蓉，孙喜斌，等.2019.公共危机次生型网络舆情危机产生的内在逻辑——基于40个案例的模糊集定性比较分析[J].公共行政评论，12(4):101-123.Gao S Y,Zhang G R,Sun X B,et al.2019.The internal logic of a public crisis' secondary network public opinion crisis—40 cases using qualitative comparative analysis (QCA)[J].Journal of Public Administration,12(4):101-123.(in Chinese)
• 国务院办公厅.(2018-04-08)[2023-10-10].国务院办公厅关于印发2018年政务公开工作要点的通知[EB/OL].https://www.gov.cn/zhengce/content/2018-04/24/content_5285420.htm.
• 何飞，汪宴卿.2023.后真相时代热点舆情事件中短视频的情感传播研究[J].当代传播，(4):96-100.He F,Wang Y Q.2023.Research on emotional communication of short video in hot public opinion events in post-truth era[J].Contemporary Communication,(4):96-100.(in Chinese)
• 何祖坤.2000.关注政府回应[J].中国行政管理，(7):7-8.He Z K.2000.Concerned about government response[J].Chinese Public Administration,(7):7-8.(in Chinese)
• 籍庆利.2013.科学发展观与责任政府建设：一种内在逻辑的学理阐释[J].江苏社会科学，(5):91-97.Ji Q L.2013.Scientific outlook on development and the construction of responsible government:A theoretical interpretation of internal logic[J].Jiangsu Social Sciences,(5):91-97.(in Chinese)
• 孔德鹏，郎玫，史传林.2022.信息内卷化：政府网络舆情治理能力的提升路径[J].情报杂志，41(11):120-128.Kong D P,Lang M,Shi C L.2022.Information involution:The improvement path of the government's network public opinion governance capability[J].Journal of Intelligence,41(11):120-128.(in Chinese)
• 匡文波.2019.“两微”舆情的新特征及治理对策[J].人民论坛，(19):113-115.Kuang W B.2019.New characteristics of “Two Micro” public opinion and governance countermeasures[J].People's Tribune,(19):113-115.(in Chinese)
• 赖胜强，唐雪梅.2018.政府网络舆情回应策略的内容分析[J].现代情报，38(10):108-114.Lai S Q,Tang X M.2018.Content analysis of the government's response strategy to online public opinion[J].Journal of Modern Information,38(10):108-114.(in Chinese)
• 雷玉琼，刘展余.2020.突发公共卫生事件中的网络问政：诉求与回应——基于新冠疫情期间“地方领导留言板”的数据分析[J].电子政务，(10):50-61.Lei Y Q,Liu Z Y.2020.Online political inquiry in public health emergencies:Demands and responses—Based on data analysis of “local leadership message boards” during the COVID-19 pandemic[J].E-Government,(10):50-61.(in Chinese)
• 李悦，王法硕.2021.邻避事件中的公众情绪、政府回应与信息转发意愿研究[J].情报杂志，40(4):179-186.Li Y,Wang F S.2021.Research on public sentiment,government response and willingness to forward information in NIMBY incidents[J].Journal of Intelligence,40(4):179-186.(in Chinese)
• 刘冰，张航.2023.基于民众需求与情感的突发公共卫生事件政府回应策略研究[J].情报科学，41(9):8-18.Liu B,Zhang H.2023.A study of government response strategies in public health emergencies based on people's needs and emotions[J].Information Science,41(9):8-18.(in Chinese)
• 刘红波，高新珉.2021.负面舆情、政府回应与话语权重构——基于1711个社交媒体案例的分析[J].中国行政管理，(5):130-137.Liu H B,Gao X M.2021.Negative public opinion,government response,and the reconstruction of the discourse power—Based on analysis of 1711 social media cases[J].Chinese Public Administration,(5):130-137.(in Chinese)
• 陆玉婵，周全强，钟佳原，等.2024.大数据背景下抖音直播平台的营销策略研究[J].老字号品牌营销，(9):9-11.Lu Y C,Zhou Q Q,Zhong J Y,et al.2024.Research on marketing strategy of TikTok live broadcast platform under the background of big data[J].China Time-honored Brand,(9):9-11.(in Chinese)
• 马宁，于光，闫相斌.2021.基于舆情评论数据挖掘的政府回应策略优化方法研究——以新冠疫情援助物资使用舆情事件为例[J].电子政务，(9):23-35.Ma N,Yu G,Yan X B.2021.Research on optimization methods of government response strategies based on data mining of public opinion reviews—Taking the public opinion incident on the use of aid supplies for the Xin Guan epidemic as an example[J].E-Government,(9):23-35.(in Chinese)
• 马翔，包国宪.2020.网络舆情事件中的公共价值偏好与政府回应绩效[J].公共管理学报，17(2):70-83.Ma X,Bao G X.2020.Public value preference in internet public opinion events and government response performance[J].Journal of Public Management,17(2):70-83.(in Chinese)
• 牟冬梅，靳春妍，邵琦.2021.基于情感分析的突发公共卫生事件网络舆情热度预测模型仿真[J].现代情报，41(10):59-66.Mu D M,Jin C Y,Shao Q.2021.Simulation of online public opinion heat prediction for public health emergencies based on sentiment analysis[J].Journal of Modern Information,41(10):59-66.(in Chinese)
• 全安坤，李红莲，张乐，等.2024.融合内容和图片特征的中文摘要生成方法研究[J].数据分析与知识发现，8(3):110-119.Quan A K,Li H L,Zhang L,et al.2024.Generating Chinese abstracts with content and image features[J].Data Analysis and Knowledge Discovery,8(3):110-119.(in Chinese)
• 戎蔚玲，卓芯羽.2023.移动短视频舆情的发生及应对[J].传媒，(16):56-57,59.Rong W L,Zhuo X Y.2023.Occurrence and response of mobile short video public opinion[J].Media,(16):56-57,59.(in Chinese)
• 宋海生，张万朋，杨创，等.2022.“双减”政策的网络舆情特征、公众关注与政府回应——基于全国网络问政平台的大数据研究[J].基础教育，19(3):44-58.Song H S,Zhang W P,Yang C,et al.2022.Characteristics of online public opinion of the “Double Reduction” policy,public concerns and government responses:The big data analysis based on a national E-government platform[J].Journal of Schooling Studies,19(3):44-58.(in Chinese)
• 苏凡博，朱慧，黄浩淋.2023.社交媒体层级传播结构下情绪极化传导机制研究——基于微博“2·27事件”的网络挖掘与实证分析[J].当代传播，(5):99-103.Su F B,Zhu H,Huang H L.2023.Research on the conduction mechanism of emotional polarization under the hierarchical communication structure of social media—Based on the network mining and empirical analysis of Weibo “2·27 Event”[J].Contemporary Communication,(5):99-103.(in Chinese)
• 王磊，易扬.2022.公共卫生危机中的数字政府回应如何纾解网络负面舆情——基于人民网“领导留言板”回复情况的调查[J].公共管理学报，19(4):65-78,169.Wang L,Yi Y.2022.How does government responsiveness alleviate negative public opinion during Covid-19 —Evidence from “Message Board for Leaders” in People.cn[J].Journal of Public Management,19(4):65-78,169.(in Chinese)
• 汪庆华，郭钢，贾亚娟.2016.俞可平与中国知识分子的善治话语[J].公共管理学报，13(1):1-10.Wang Q H,Guo G,Jia Y J.2016.Yu Keping and Chinese intellectual discourse on good governance[J].Journal of Public Management,13(1):1-10.(in Chinese)
• 王绍光.2014.国家治理与国家能力——中国的治国理念与制度选择(上)[J].经济导刊，(6):2-7.Wang S G.2014.National governance and state capacity—China's concept of governance and institutional choices (above)[J].Economic Herald,(6):2-7.(in Chinese)
• 王婷，杨文忠.2021.文本情感分析方法研究综述[J].计算机工程与应用，57(12):11-24.Wang T,Yang W Z.2021.Review of text sentiment analysis methods[J].Computer Engineering and Applications,57(12):11-24.(in Chinese)
• 魏宏程，朱恒民，魏静，等.2024.基于短视频网络的互联网舆情演化研究[J].数据分析与知识发现，8(5):113-126.Wei H C,Zhu H M,Wei J,et al.2024.Analyzing the evolution of internet public opinion based on short-video network[J].Data Analysis and Knowledge Discovery,8(5):113-126.(in Chinese)
• 文宏.2019.网络群体性事件中舆情导向与政府回应的逻辑互动——基于“雪乡”事件大数据的情感分析[J].政治学研究，(1):77-90.Wen H.2019.Logic interaction between public opinion orientation and government response in internet group crisis events—Emotional analysis based on big data of “Snow Village” event[J].CASS Journal of Political Science,(1):77-90.(in Chinese)
• 文宏，李风山.2023.突发事件中政府辟谣何以有效?——基于“谣言属性—辟谣策略”框架的分析[J].行政论坛，30(4):87-95.Wen H,Li F S.2023.What makes government's rumor-refuting effective in emergencies?—An analysis based on the framework of “Rumor Attribute-Rumor-Refuting Strategy”[J].Administrative Tribune,30(4):87-95.(in Chinese)
• 温志强，刘楠.2021.从单向线性到迭代闭环：重大公共决策网络舆情风险研判体系构建[J].上海行政学院学报，22(4):30-42.Wen Z Q,Liu N.2021.From one-way linearity to iterative closed-loop:Building a risk research and judgment system for online public opinion of major public decisions based on the deep integration of experts and digital technology[J].The Journal of Shanghai Administration Institute,22(4):30-42.(in Chinese)
• 薛海平，刁龙.2021.课外补习网络舆情特征及地方政府网络回应研究——基于人民网地方政府领导留言板的大数据分析[J].苏州大学学报(教育科学版),9(3):32-45.Xue H P,Diao L.2021.Research on characteristics of online public opinion of private tutoring and local government network response:Based on the big data analysis of the message board of local leaders on people's daily online[J].Journal of Soochow University (Educational Science Edition),9(3):32-45.(in Chinese)
• 虞鑫.2019.话语制度主义：地方政府回应公众意见的理论解释——基于“意见-政策”连接理论的多案例比较分析[J].新闻与传播研究，26(5):21-40.Yu X.2019.Discursive institutionalism:The mechanism of local government's responsiveness to public opinion a comparative case study based on the opinion-policy link theory[J].Journalism & Communication,26(5):21-40.(in Chinese)
• 曾润喜，杜换霞，王君泽.2014.网络舆情指标体系、方法与模型比较研究[J].情报杂志，33(4):96-101.Zeng R X,Du H X,Wang J Z.2014.Comparative study of internet public opinion index system,method and model[J].Journal of Intelligence,33(4):96-101.(in Chinese)
• 张来明，刘理晖.2022.新中国社会治理的理论与实践[J].管理世界，38(1):20-35.Zhang L M,Liu L H.2022.The theory and practice of social governance in China after the establishment of the People's Republic of China[J].Journal of Management World,38(1):20-35.(in Chinese)
• 张楠迪扬，郑旭扬，赵乾翔.2023.政府回应性：作为日常治理的“全回应”模式——基于LDA主题建模的地方政务服务“接诉即办”实证分析[J].中国行政管理，(3):68-78.Zhang N D Y,Zheng X Y,Zhao Q X.2023.Government responsiveness:An all-response' pattern of daily governance—An empirical study of local government hotline appeals using Latent Dirichlet Allocation (LDA)[J].Chinese Public Administration,(3):68-78.(in Chinese)
• 郑石明，兰雨潇，黎枫.2021.网络公共舆论与政府回应的互动逻辑——基于新冠肺炎疫情期间“领导留言板”的数据分析[J].公共管理学报，18(3):24-37,169.Zheng S M,Lan Y X,Li F.2021.The interactive logic of online public opinion and government response—Based on the data analysis of the “Leadership Message Board” during the COVID-19 pandemic[J].Journal of Public Management,18(3):24-37,169.(in Chinese)
• 周恩毅，张文培.2023.数字赋权背景下民众诉求与政府回应的互动逻辑[J].河南师范大学学报(哲学社会科学版),50(4):22-27.Zhou E Y,Zhang W P.2023.The interactive logic of public demand and government response in the context of digital empowerment[J].Journal of Henan Normal University (Philosophy and Social Sciences),50(4):22-27.(in Chinese)
• Anastasopoulos L J,Whitford A B.2019.Machine learning for public administration research,with application to organizational reputation[J].Journal of Public Administration Research and Theory,29(3):491-510.
• Beck U.2008.Reframing power in the globalized world[J].Organization Studies,29(5):793-804.
• Brooks C,Manza J.2006.Social policy responsiveness in developed democracies[J].American Sociological Review,71(3):474-494.
• Detenber B H,Simons R F,Bennett G G Jr.1998.Roll'em!:The effects of picture motion on emotional responses[J].Journal of Broadcasting & Electronic Media,42(1):113-127.
• Hassid J,Brass J N.2015.Scandals,media and good governance in China and Kenya[J].Journal of Asian & African Studies,50(3):325-342.
• He K M,Zhang X Y,Ren S Q,et al.2016.Deep residual learning for image recognition[C]//2016 IEEE Conference on computer Vision and Pattern Recognition (CVPR).Las Vegas,NV,USA:IEEE,770-778.
• Schock K.1999.People power and political opportunities:Social movement mobilization and outcomes in the Philippines and Burma[J].Social Problems,46(3):355-375.
• Wilson S.2016.In the living room:Second screens and TV audiences[J].Television & New Media,17(2):174-191.
• Yang K F,Holzer M.2006.The performance-trust link:Implications for performance measurement[J].Public Administration Review,66(1):114-126.