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Journal of Library and Information Science in Agriculture ›› 2023, Vol. 35 ›› Issue (9): 66-79.doi: 10.13998/j.cnki.issn1002-1248.23-0801

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Influence of Risk Perception on Group Polarization in Network Circle Groups

WAN Xiaodie, XIA Yixue*   

  1. Research Center of Network Public Opinion Governance, China People's Police University, Langfang 065000
  • Received:2023-08-16 Online:2023-09-05 Published:2024-01-12

Abstract: [Purpose/Significance] In social media, the complex phenomenon of group polarization caused by the effect of network circle groups has brought serious challenges to the guidance and governance of online public opinion. This paper aims to explore the influencing mechanism of multi-dimensional environmental risk perception on group polarization in the network circle groups, and provide theoretical support and insights into the management of group polarization. [Method/Process] First, based on the protective motivation theory and the circle group structure theory, risk perception was divided into three dimensions: risk fact perception, risk loss perception and risk reaction behavior perception, and a network circle group was divided into three layers: point, line and structure. Based on this, a theoretical model of the relationship between risk perception and group polarization under the background of network circle groups was constructed. Second, taking the "6.10" hitting event as an example, a questionnaire was designed to collect sample data, and two sets of comparative data were obtained from the perspectives of randomly selected women and circled female groups, and the reliability and validity of the data were tested and analyzed. Finally, Amos26.0 software was used to establish a structural equation model (SEM) for empirical analysis of the research hypothesis in this paper, and the Bootstrap method was used to test the mediating effect of network circle groups, revealing the effect of risk perception on group polarization in network circle groups. [Results/Conclusions] 1) Compared with the random female group, the degree of homogeneity in the network group is higher, and the circle group effect is significant. 2) Risk perception has a significant positive impact on the formation of group polarization, in which the perceived risk response behavior has the most significant impact on group polarization. 3) Network circle groups have a significant positive influence on the formation of group polarization, among which "structure" has the most significant influence on group polarization. 4) Network circle groups play a mediating role between multi-dimensional risk perception and group polarization. The research not only reveals the generation path of network circle groups and risk perception on group polarization and the key factors affecting the occurrence of group polarization from the theoretical level, but also provides directions for relevant departments to manage group polarization and reduce public risk perception. This study has several limitations. For instance, SEM model setting and questionnaire design depend on the subjective experience and theoretical assumptions of researchers, and may have selectivity bias, so the model setting in this paper is subjective to a certain extent.

Key words: group polarization, risk perception, network circle group, structured equation model (SEM)

CLC Number: 

  • G206
[1] 王雄, 刘康. 意识形态安全视域下网络群体极化的正负效应及其治理路径[J]. 山东社会科学, 2023(4): 153-160.
WANG X, LIU K.Positive and negative effects of network group polarization and its governance path from the perspective of ideological security[J]. Shandong social sciences, 2023(4): 153-160.
[2] 唐云锋, 刘涛, 王艳艳. 网络圈层化、微博舆情传播与虚拟场域群体极化[J]. 浙江社会科学, 2022(7): 78-84, 159.
TANG Y F, LIU T, WANG Y Y.Network stratification, weibo public opinion dissemination and group polarization in virtual field[J]. Zhejiang social sciences, 2022(7): 78-84, 159.
[3] 胡联合. 群体性事件的演化机理及其启示[J]. 探索, 2017(1): 124-133.
HU L H.Evolution mechanism of group events and its enlightenment[J]. Probe, 2017(1): 124-133.
[4] 匡文波. 自媒体时代圈群文化新特征[J]. 人民论坛, 2020(S2): 151-153.
KUANG W B.New characteristics of circle culture in the era of media[J]. People's tribune, 2020(S2): 151-153.
[5] 段洪涛. 网络圈群的舆论传播机理[J]. 传播力研究, 2020, 4(7): 184-185.
DUAN H T.Public opinion communication mechanism of network circle group[J]. Research on transmission competence, 2020, 4(7): 184-185.
[6] 叶荔辉. 高校“网络圈群”舆论引导的困境及路径[J]. 思想教育研究, 2018(1): 135-138.
YE L H.The predicament and path of public opinion guidance of "network circle group" in colleges and universities[J]. Studies in ideological education, 2018(1): 135-138.
[7] 杨美新, 郭燕萍. 网络圈群中的主流意识形态认同: 价值、藩篱与实现路径[J]. 湖南科技大学学报(社会科学版), 2021, 24(6): 154-161.
YANG M X, GUO Y P.Mainstream ideological identity in the net-work circle group: Value, barrier and realization routine[J]. Journal of Hunan university of science & technology (social science edition), 2021, 24(6): 154-161.
[8] 穆冬霞. 基于网络圈群的高校网络舆情治理研究[J]. 新闻爱好者, 2023(6): 90-92.
MU D X.Research on university network public opinion governance based on network circle group[J]. Journalism lover, 2023(6): 90-92.
[9] 孙旭红, 顾琪. 高校思想政治教育话语传播的现实挑战及优化策略——大学生网络圈群视角[J]. 高校教育管理, 2023, 17(2): 35-43.
SUN X H, GU Q.Practical challenges and optimization strategies of discourse dissemination in ideological and political education in colleges and universities: The perspective of college students' online circles[J]. Journal of higher education management, 2023, 17(2):35-43.
[10] 刘雨, 陈坤. 智媒时代思想政治教育话语发展的算法嵌入风险及其应对[J]. 中学政治教学参考, 2022(48): 52-55.
LIU Y, CHEN K.Algorithm embedding risk of ideological and political education discourse development in the age of intellectual media and its countermeasures[J]. Teaching reference of middle school politics, 2022(48): 52-55.
[11] 玄铮. 大学生网络圈群化及高校网络思想政治教育研究[J]. 学校党建与思想教育, 2022(18): 56-59.
XUAN Z.Research on the grouping of college students' network cir-cles and the network ideological and political education in colleges and universities[J]. The party building and ideological education in schools, 2022(18): 56-59.
[12] 陈坤, 刘雨. 网络圈群视域下思想政治教育话语的破圈困境与路径选择[J]. 理论导刊, 2022(7): 112-116.
CHEN K, LIU Y.The circle-breaking dilemma and path choice of ideological and political education discourse from the perspective of network circle group[J]. Journal of socialist theory guide, 2022(7): 112-116.
[13] 阎国华, 韩硕. 网络圈群下主流意识形态认同的现实境遇与促进策略[J]. 探索, 2022(4): 171-184.
YAN G H, HAN S.The realistic situation and promotion strategies of the mainstream ideological identity under the network circle group[J]. Probe, 2022(4): 171-184.
[14] 洪晓楠, 刘媛媛. 全媒体时代网络意识形态风险的基本特征、现实表现与治理策略[J]. 思想教育研究, 2023(5): 69-75.
HONG X N, LIU Y Y.The basic characteristics, reality manifestations and governance strategies of Internet ideological risks in the all-media era[J]. Studies in ideological education, 2023(5): 69-75.
[15] WILLIAMS H T P, MCMURRAY J R, KURZ T, et al. Network analysis reveals open forums and echo chambers in social media discussions of climate change[J]. Global environmental change, 2015, 32: 126-138.
[16] DONG Y C, ZHAN M, KOU G, et al.A survey on the fusion process in opinion dynamics[J]. Information fusion, 2018, 43: 57-65.
[17] SALZARULO L.A continuous opinion dynamics model based on the principle of meta-contrast[J]. JASSS, 2006, 9(1): 65-93.
[18] 程亮亮. 丁香小慧事件与网民的“群体极化”倾向[J]. 传媒观察, 2007(10): 17-18.
CHENG L L.Lilac Xiaohui incident and the "group polarization" tendency of Internet users[J]. Media observer, 2007(10): 17-18.
[19] 张孝廷, 赵宬斐. 网络集群效应下的执政风险及其规避[J]. 宁夏大学学报(人文社会科学版), 2012, 34(4): 105-109, 115.
ZHANG X T, ZHAO C F.The ruling risk and its avoidance under the network cluster effect[J]. Journal of Ningxia university (humanities & social sciences edition), 2012, 34(4): 105-109, 115.
[20] WOJCIESZAK M.Don't talk to me: Effects of ideologically homogeneous online groups and politically dissimilar offline ties on extremism[J]. New media & society, 2010, 12(4): 637-655.
[21] GARCIA D, ABISHEVA A, SCHWEIGHOFER S, et al.Ideological and temporal components of network polarization in online political participatory media[J]. Policy & internet, 2015, 7(1): 46-79.
[22] 申金霞, 万旭婷. 网络圈层化背景下群体极化的特征及形成机制——基于“2·27事件”的微博评论分析[J]. 现代传播(中国传媒大学学报), 2021, 43(8): 55-61.
SHEN J X, WAN X T.The characteristics and formation mechanism of group polarization in the context of network stratification: An analysis of Weibo comments based on the "February 27 Event"[J]. Modern communication(journal of communication university of China), 2021, 43(8): 55-61.
[23] 金冬雪, 夏一雪, 朱攀龙. 情绪演化视角下网络舆情群体极化动力学机理研究[J]. 情报科学, 2023, 41(3): 57-65.
JIN D X, XIA Y X, ZHU P L.The mechanism of network public opinion group polarization dynamics from the perspective of emotional evolution[J]. Information science, 2023, 41(3): 57-65.
[24] TORNBERG P, ANDERSSON C, LINDGREN K, et al.Modeling the emergence of affective polarization in the social media society[J]. PLoS One, 2021, 16(10): e0258259.
[25] 李华, 孔娇. 基于文本挖掘的城市景区密集人群风险感知[J]. 中国安全生产科学技术, 2022, 18(5): 40-46.
LI H, KONG J.Risk perception of dense crowd in urban scenic spots based on text mining[J]. Journal of safety science and tech-nology, 2022, 18(5): 40-46.
[26] ZHOU Z F, LIU J H, ZENG H X, et al.How does soil pollution risk perception affect farmers' pro-environmental behavior? The role of income level[J]. Journal of environmental management, 2020, 270: 110806.
[27] 卞婧钰. 新闻的社交化传播研究——以抖音中的主流媒体为例[D]. 呼和浩特: 内蒙古大学, 2022.
BIAN J Y.Social dissemination of news[D]. Hohhot: Inner Mongolia University, 2022.
[28] 孙雅文. 网络“圈层化”影响下大学生思想政治教育优化研究[D]. 济南: 山东大学, 2021.
SUN Y W.Research on optimization of ideological and political education of college students under the influence of circle-stratification[D]. Jinan: Shandong University, 2021.
[29] 吴彩虹, 卿再花. 网络群体极化事件风险放大的心理分析与治理策略[J]. 湖南财政经济学院学报, 2021, 37(5): 99-109.
WU C H, QING Z H.Psychological analysis and management strategy of network group polarization event risk amplification[J]. Journal of Hunan university of finance and economics, 2021, 37(5): 99-109.
[30] 彭国超, 程晓. 热点事件中社交媒体群体极化形成机理研究[J]. 信息资源管理学报, 2023, 13(2): 42-52.
PENG G C, CHENG X.Research on the formation mechanism of social media group polarization under hot events[J]. Journal of information resources management, 2023, 13(2): 42-52.
[31] 钟瑛, 朱雪. 风险社会中主流媒体调适社会情绪的机制构建[J]. 内蒙古社会科学, 2020, 41(4): 185-191.
ZHONG Y, ZHU X.Research on the construction of mechanism of mainstream media adjusting social mood in risk society[J]. Inner Mongolia social sciences, 2020, 41(4): 185-191.
[32] [美]凯斯·桑斯坦. 黄维明, 译. 网络共和国: 网络社会中的民主问题[M]. 上海: 上海人民出版社, 2003.
CASS S.Cyber republic: Democracy in a cyber society[M]. Shang-hai: Shanghai People's Publishing House, 2003.
[33] 鲁良. 论失信行为影响下公众风险感知的演变[J]. 湖南师范大学社会科学学报, 2021, 50(6): 107-113.
LU L.On the evolution of public risk perception influenced by dishonest behavior[J]. Journal of social science of Hunan normal university, 2021, 50(6): 107-113.
[34] 汪新建, 张慧娟, 武迪, 等. 文化对个体风险感知的影响: 文化认知理论的解释[J]. 心理科学进展, 2017, 25(8): 1251-1260.
WANG X J, ZHANG H J, WU D, et al.Cultural influences on individual risk perception: Cultural cognition theory's explanation[J]. Advances in psychological science, 2017, 25(8): 1251-1260.
[35] 温忠麟, 叶宝娟. 中介效应分析: 方法和模型发展[J]. 心理科学进展, 2014, 22(5): 731-745.
WEN Z L, YE B J.Analyses of mediating effects: The development of methods and models[J]. Advances in psychological science, 2014, 22(5): 731-745.
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