中文    English

Journal of Library and Information Science in Agriculture ›› 2023, Vol. 35 ›› Issue (4): 32-47.doi: 10.13998/j.cnki.issn1002-1248.23-0193

Previous Articles     Next Articles

Persuasion Strategies of Health Short Videos for Refuting Rumors

CHEN Yijin, MAI Jingyun, JIANG Qianying   

  1. School of Economics and Management, South China Normal University, Guangzhou 510006
  • Received:2023-02-27 Online:2023-04-05 Published:2023-07-12

Abstract: [Purpose/Significance] As a new means of information dissemination, short videos have become a new favorite of some people in spreading rumors and refuting rumors due to their characteristics of visibility, convenience, and freedom of expression. It is of great significance to understand the content characteristics of health short videos in rumor refuting and improve their spreading effect. [Method/Process] This paper uses Python to conduct data mining, crawling the rumor refuting short videos related to the theme of COVID-19 epidemic prevention and control as samples, and the data set obtained includes the published articles and the original data, such as the number of forwards, and comments. Based on "logos", "ethos" and "pathos" in Aristotle's rhetoric theory, this paper codes the persuasion strategies of sample videos in combination with the coding standard table of 13 persuasion strategies under four categories. At the same time, it divides short videos into seven video elements under two categories and ten themes under five categories, and encodes samples from two aspects of video elements and themes. The information processing was carried out as follows. First, the Apriori algorithm was used to mine the types of persuasion strategies used, the relationships among various types of persuasion strategies, the video elements commonly used in persuasion strategies, and the correlation between persuasion strategies and rumors in the short health video samples with the theme of COVID-19 epidemic prevention and control. Then, short videos using different numbers or types of persuasion strategies were grouped, and one-way ANOVA was used to explore the relationship between persuasion strategies in short videos of refuting rumors and user responses in short videos. Finally, we proposed measures to promote the dissemination effect of anti-rumor short videos and promote the positive development of anti-rumor short videos. [Results/Conclusions] There is a clear correlation between some video elements, rumor types, and the use of persuasive strategies: the persuasive strategies of health related anti-rumor short videos are mainly logical and diverse. When using logical, emotional, reputation, or other persuasive strategies, videos will combine pure text, non-pure text, voice, or music video elements. In refutation short videos, short videos that use both logic and other persuasive strategies are more likely to be accepted by users. In the future, short videos can be used to optimize video transmission and help rumor management. Future studies can further explore the configuration effects of rumor-dispelling strategies, video elements and rumor-dispelling themes, and we will delve into the causal relationship between them and the communication effect.

Key words: health short videos, refuting rumors, COVID-19, persuasion strategies, rumor governance

CLC Number: 

  • G252
[1] SIMONS H W.Persuasion in Society[M]. Thousand Oaks: Sage Publications, 1976.
[2] 马宁, 刘怡君. 微博中谣言信息与辟谣信息综合影响力对比研究[J]. 情报资料工作, 2020, 41(3): 41-48.
MA N, LIU Y J.Comparative research on the comprehensive influence of rumor information and refute rumor information in Weibo[J]. Information and documentation services, 2020, 41(3): 41-48.
[3] 陈虹, 沈申奕. 新媒体环境下突发事件中谣言的传播规律和应对策略[J]. 华东师范大学学报(哲学社会科学版), 2011, 43(3): 83-91, 154.
CHEN H, SHEN S Y.Laws of rumor circulation in emergency and solutions under the condition of new media[J]. Journal of East China normal university (philosophy and social sciences), 2011, 43(3): 83-91, 154.
[4] 王国华, 王丽丽, 王雅蕾. 基于新浪平台的微博辟谣主体与方式研究[J]. 电子政务, 2013(9): 2-8.
WANG G H, WANG L L, WANG Y L.Research on the main body and way of Weibo's rumor based on Sina platform[J]. E-Government, 2013(9): 2-8.
[5] 郑一璐. 疫情初期辟谣信息的传播特征和策略研究[J]. 新闻传播, 2020(20): 29-30.
ZHENG Y L.Study on the characteristics and strategies of spreading rumors in the early stage of the epidemic[J]. Journalism communication, 2020(20): 29-30.
[6] 宗乾进, 黄子风. 社交媒体辟谣信息的扩散机理研究——基于辟谣信息演化网络的纵向分析[J]. 现代情报, 2017, 37(9): 44-52, 121.
ZONG Q J, HUANG Z F.Diffusion mechanism of rumor-refuting information in social media - A longitudinal analysis based on the evolution network of rumor-refuting information[J]. Journal of modern information, 2017, 37(9): 44-52, 121.
[7] HOVLAND C I, WEISS W.The influence of source credibility on communication effectiveness[J]. Public opinion quarterly, 1951, 15(4): 635.
[8] 韩旭, 李阳. 突发事件情境下社交媒体辟谣信息传播效果影响因素研究[J]. 情报理论与实践, 2022, 45(8): 97-103.
HAN X, LI Y.Research on the influencing factors of social media rumor-refuting information dissemination effect in emergencies[J]. Information studies: Theory & application, 2022, 45(8): 97-103.
[9] ZHAO L M, YIN J L, SONG Y.An exploration of rumor combating behavior on social media in the context of social crises[J]. Computers in human behavior, 2016, 58: 25-36.
[10] TAKAYASU M, SATO K, SANO Y, et al.Rumor diffusion and convergence during the 3.11 earthquake: A twitter case study[J]. PLoS One, 2015, 10(4): e0121443.
[11] 李宗敏, 张琪, 杜鑫雨. 基于辟谣微博的互动及热门评论情感倾向的辟谣效果研究——以新冠疫情相关辟谣微博为例[J]. 情报杂志, 2020, 39(11): 90-95, 110.
LI Z M, ZHANG Q, DU X Y.Research on rumor-refutation effectiveness based on the interactions and popular comments' emotional tendencies of the rumor-refuting microblogs: Taking rumor-refuting microblogs related with COVID-2019 as an example[J]. Journal of intelligence, 2020, 39(11): 90-95, 110.
[12] 陈娟, 刘燕平, 邓胜利. 政务微博辟谣信息传播效果的影响因素研究[J]. 情报科学, 2018, 36(1): 91-95, 117.
CHEN J, LIU Y P, DENG S L.An analysis on factors influencing the dissemination effect of rumor-refuting information[J]. Information science, 2018, 36(1): 91-95, 117.
[13] 王晰巍, 朱泓飞, 李珗琪, 等. 突发公共卫生事件下网络谣言辟谣效果评价和实证研究[J]. 图书情报工作, 2021, 65(19): 36-43.
WANG X W, ZHU H F, LI Y Q, et al.Evaluation and empirical study on the effect of Internet rumor refutation in public health emergencies[J]. Library and information service, 2021, 65(19): 36-43.
[14] OZTURK P, LI H Y, SAKAMOTO Y.Combating rumor spread on social media: The effectiveness of refutation and warning[C]// 2015 48th Hawaii International Conference on System Sciences. Piscataway, New Jersey: IEEE, 2015: 2406-2414.
[15] 唐雪梅, 赖胜强. 突发事件中政府对网络谣言的辟谣策略研究——以太伏中学事件为例[J]. 情报杂志, 2018, 37(9): 95-99.
TANG X M, LAI S Q.Study on denying rumors strategy in unexpected events- The case of "Taifu middle school"[J]. Journal of intelligence, 2018, 37(9): 95-99.
[16] 宋雪. 突发公共事件中政府对网络谣言的辟谣困境与策略研究[J]. 新闻传播, 2021(16): 31-32.
SONG X.Research on the dilemma and strategy of government's refusing Internet rumors in public emergencies[J]. Journalism communication, 2021(16): 31-32.
[17] 金兼斌, 江苏佳, 杨虹艳. 社会化协同辟谣: 行动者网络与运行机制[J]. 新闻与写作, 2019(8): 33-39.
JIN J B, JIANG S J, YANG H Y.Socialized collaborative rumor-dispelling: Actor network and operation mechanism[J]. News and writing, 2019(8): 33-39.
[18] 熊炎. 辟谣信息构成要素: 一种整合框架——二战以后西方辟谣实证研究回顾[J]. 国外社会科学, 2015(1): 78-88.
XIONG Y.Elements of rumor-dispelling information: An integrated framework - A review of western empirical research on rumor-dispelling after World War II[J]. Social sciences abroad, 2015(1): 78-88.
[19] 王胜源. 新媒体背景下伪健康信息的传播与治理——以果壳网“流言百科”证伪的医学健康类信息为例[J]. 科技传播, 2015, 7(22): 110-112, 89.
WANG S Y.Dissemination and governance of fake health information under the background of new media - Taking the medical health information falsified by "gossip encyclopedia" of Shell Network as an example[J]. Public communication of science & technology, 2015, 7(22): 110-112, 89.
[20] 王丽娜. 健康谣言的传播学分析与科学舆论引导[J]. 新闻爱好者, 2012(20): 13-14.
WANG L N.Communication analysis of health rumors and guidance of scientific public opinion[J]. Journalism lover, 2012(20): 13-14.
[21] 马超. 健康议题辟谣社群的类别构成与社群结构研究——基于多主体谣言协同治理的视角[J]. 情报杂志, 2019, 38(1): 96-105.
MA C.Study on the categories and structure of health rumor denials community: From the perspective of rumor cooperative governance[J]. Journal of intelligence, 2019, 38(1): 96-105.
[22] 陈思媛, 林佳议, 刘思雅, 等. 突发公共事件中的短视频谣言研究——基于微博辟谣平台的谣言样本分析[J]. 新闻研究导刊, 2021, 12(21): 58-61.
CHEN S Y, LIN J Y, LIU S Y, et al.Research on short video rumors in public emergencies - Based on the rumor sample analysis of Weibo rumor platform[J]. Journal of news research, 2021, 12(21): 58-61.
[23] 苗野. 短视频谣言的传播研究[J]. 新闻研究导刊, 2018, 9(7): ID 90, 149.
MIAO Y. Research on the spread of short video rumors[J]. Journal of news research, 2018, 9(7): 90, 149.
[24] 凡志强, 陈谦. 突发公共卫生事件中辟谣短视频的传播效果研究——基于35起谣言事件的模糊集定性比较分析[J]. 新媒体研究, 2022, 8(5): 1-8.
FAN Z Q, CHEN Q.Study on the dissemination effect of short video of rumors in public health emergencies - Based on the fuzzy set qualitative comparative analysis of 35 rumor events[J]. New media research, 2022, 8(5): 1-8.
[25] BRONSTEIN J.Like me! Analyzing the 2012 presidential candidates' Facebook pages[J]. Online information review, 2013, 37(2): 173-192.
[26] AUGER G A.Rhetorical framing: Examining the message structure of nonprofit organizations on Twitter[J]. International journal of nonprofit and voluntary sector marketing, 2014, 19(4): 239-249.
[27] SHENG X, ZENG Z H, ZHANG W, et al.Vlogger's persuasive strategy and consumers' purchase intention: The dual mediating role of para-social interactions and perceived value[J]. Frontiers in psychology, 2022, 13: 1080507.
[28] CHEN S J, XIAO L, MAO J.Persuasion strategies of misinformation-containing posts in the social media[J]. Information processing & management, 2021, 58(5): 102665.
[29] WANG S H, TERANO T.Detecting rumor patterns in streaming social media[C]// 2015 IEEE International Conference on Big Data (Big Data). Piscataway, New Jersey: IEEE, 2015: 2709-2715.
[30] 李沛瑶, 周雨辰, 王琳, 等. 疫情期间网络谣言的特征分析与应对机制研究[J]. 传媒论坛, 2021, 4(19): 29-31.
LI P Y, ZHOU Y C, WANG L, et al.Analysis on the characteristics of Internet rumors during the epidemic period and research on the coping mechanism[J]. Media forum, 2021, 4(19): 29-31.
[1] CHEN Jinghao, LUO Qi. Research on the Influencing Factors of Adoption Intention of Information Technology for Pandemic Prevention Among the Elderly in Public Health Emergency [J]. Journal of Library and Information Science in Agriculture, 2022, 34(4): 30-40.
[2] MA Yunzhe, CUI Xu, ZHANG Xiaoyi. 24-Hour Service Quality Evaluation System of a Self-Service Library under the Background of Normal State of COVID-19 Epidemic Prevention and Control [J]. Journal of Library and Information Science in Agriculture, 2022, 34(3): 68-80.
[3] ZHAO Lei, ZHANG Chengzhi. Difference Analysis of Research Topics in a Specific Domain Based on Different Content Levels [J]. Journal of Library and Information Science in Agriculture, 2021, 33(5): 14-27.
[4] WANG Feiyan, CAO Yunqiu, XIAO Anqi, JI Lu, KE Qing. Thematic Correlation and Contextual Factors of Netizens' Information Needs During the COVID-19 Pandemic [J]. Journal of Library and Information Science in Agriculture, 2021, 33(5): 28-39.
[5] JIA Xiaoshuang, YAO Jing. The Analysis of the Role of Digital Humanities in Sudden Public Crises: Taking COVID-19 as an Example [J]. Journal of Library and Information Science in Agriculture, 2020, 32(9): 22-30.
[6] ZHAO Shuai, ZHOU Dan. Analysis on the Epidemic Situation of COVID-19 in Six Provinces Adjacent to Hubei [J]. Journal of Library and Information Science in Agriculture, 2020, 32(4): 5-14.
[7] ZHENG Yufei, WANG Zheng. Characteristics and Trends of Overseas Library Open Access Activities During the Epidemic Period [J]. Journal of Library and Information Science in Agriculture, 2020, 32(12): 20-28.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!