Evaluation model of online emergency language effectiveness and its application based on persuasion theory

doi:10.16265/j.cnki.issn1003-3033.2025.07.0181

Abstract

Abstract:

To enhance the scientific nature and effectiveness of online emergency language services, based on Hovland's persuasion theory, it identified the factors influencing the effectiveness of online emergency language services, clarified the input and output indicators for evaluating emergency language services, constructed an evaluation system for the effectiveness of online emergency language services during the emergency response phase, and established an evaluation process for the effectiveness of emergency language services. Taking the 6·21 Yinchuan Barbecue Shop Explosion Accident as an example, big data analysis was conducted on the information released by official media on the Weibo platform during the emergency response phase. Five types of media accounts were identified as decision-making units (DMU): emergency (including firefighting) media, public prosecution and law enforcement media, central-level mainstream media, other government media, and local-level media. The date envelopment analysis(DEA) method was employed to evaluate the effectiveness of emergency language services. The results of this study illustrated that the effectiveness of online emergency language service is from high to low for the central-level mainstream media, public prosecution and law enforcement media, emergency (include firefighting) media, other government and local-level media. There is a significant gap between other government and local-level media and the top three types of media in terms of emergency language service effectiveness. Further exploration is needed to identify ways to improve the effectiveness of emergency language services for these media types.

Key words: persuasion theory, online emergency language, effectiveness evaluation, data envelopment analysis(DEA), emergency response

CLC Number:

X915.2安全社会学

CHEN Jianwu, GAO Jingqi, XU Jingge, LI Qun, PAN Lewenyu, ZHAO Xiaofei. Evaluation model of online emergency language effectiveness and its application based on persuasion theory[J]. China Safety Science Journal, 2025, 35(7): 218-224.

Figures/Tables 6

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References 23

[1]	中华人民共和国应急管理部.应急管理部: 2024年全国各类生产安全事故同比下降11%[EB/OL].(2025-01-15). https://www.mem.gov.cn/xw/xwfbh/2025n01y15xwfbh_6337/mtbd_4262/202501/t20250115_518331.shtml.
[2]	张天伟. 美国国家语言服务团案例分析[J]. 语言战略研究, 2016(5):88-96.
	ZHANG Tianwei. An effective way to build up U.S. on-call national language capacity: a case study of the U.S. national language service corps[J]. Chinese Journal of Language Policy and Planning, 2016(5):88-96.
[3]	张天伟. 国外应急语言研究的主要路径和方法[J]. 语言战略研究, 2020(5):67-78.
	ZHANG Tianwei. Approaches and methodologies of emergency language studies abroad[J]. Chinese Journal of Language Policy and Planning, 2020(5):67-78.
[4]	王菲. 美国应急语言服务的实践与启示[J]. 现代语言学, 2023, 11(5): 1956-1961.
	WANG Fei. Practice and enlightenment of American emergency language service[J]. Modern Linguistics, 2023, 11(5): 1956-1961.
[5]	CHARNES A, COOPER W W. Preface to topics in data envelopment analysis[J]. Annals of Operations Research, 1984, 2(1): 59-94.
[6]	吴杰, 孙加森, 储军飞, 等. 数据包络分析交叉效率评价理论方法及应用[M]. 北京: 科学出版社, 2023:8.
[7]	成刚. 数据包络分析方法与MaxDEA 软件[M]. 北京: 知识产权出版社, 2014:1.
[8]	高艳芬, 贾明涛, 李宁, 等. 基于偏好DEA和Malmquist的煤炭企业安全效率动态分析[J]. 中国安全科学学报, 2013, 23(5):126-131.
	GAO Yanfen, JIA Mingtao, LI Ning, et al. Preferential DEA and Malmquist-based dynamic analysis of coal mine safety efficiency[J]. China Safety Science Journal, 2013, 23(5):126-131.
[9]	王海涛. 煤矿安全投入影响因素系统分析及其效率评价研究[D]. 北京: 中国矿业大学(北京), 2020.
	WANG Haitao. Influencing factors' systemic analysis and efficiency evaluation study on safety input of coal mines[D]. Beijing: China University of Mining & Technology-Beijing, 2020.
[10]	NAHANGI M, CHEN Yuting, MCCABE B. Safety-based efficiency evaluation of construction sites using data envelopment analysis (DEA)[J]. Safety Science, 2019, 113(3):382-388.
[11]	HOVLAND C I. Reconciling conflicting results derived from experimental and survey studies of attitude change[J]. American Psychologist, 1959, 14(1):8-17.
[12]	BURGOON J K, BURGOON M, MILLER G R, et al. Learing theory approaches to persuasion[J]. Human Communication Research, 1981, 7(2):161-179.
[13]	GREEN M C, BROCK T C. The role of transportation in the persuasiveness of public narratives[J]. Journal of Personality and Social Psychology, 2000, 79(5): 701-721. doi: 10.1037//0022-3514.79.5.701 pmid: 11079236
[14]	李鑫, 徐开彬. 健康叙事的说服效果:作用机制、调节因素及其结果[J]. 新闻大学, 2023(1):60-74,121.
	LI Xin, XU Kaibin. Persuasion effects of health narratives: mechanism, moderators, and outcome[J]. Journalism Research, 2023(1):60-74,121.
[15]	曾宪明. 论传播主体对客体情绪心理的营造[J]. 新闻爱好者, 2013(6):4-7.
[16]	OOMS J A, JANSEN C J, HOEKS J C. The story against smoking: an exploratory study into the processing and perceived eﬀectiveness of narrative visual smoking warnings[J]. Health Education Journal, 2020, 79(2): 166-179.
[17]	MURPHY S T, FRANK L B, CHATTERJEE J S, et al. Narrative versus nonnarrative: the role of identiﬁcation, transportation, and emotion in reducing health disparities[J]. Journal of Communication, 2013, 63(1): 116-137.
[18]	KLAUK T, KÖPPE T, ONEA E. Internally focalized narration from a linguistic point of view[J]. Scientiﬁc Study of Literature, 2012, 2(2): 218-242.
[19]	NAN Xiaoli, DAHLSTORM M F, RICHARDS A, et al. Influence of evidence type and narrative type on HPV risk perception and intention to obtain the HPV vaccine[J]. Health Communication, 2015, 30(3): 301-308. doi: 10.1080/10410236.2014.888629 pmid: 25061715
[20]	CHEN Meng, BELL R A, TAYLOR L D. Persuasive eﬀects of point of view, protagonist competence, and similarity in a health narrative about type 2 diabetes[J]. Journal of Health Communication, 2017, 22(8): 702-712. doi: 10.1080/10810730.2017.1341568 pmid: 28759317
[21]	BRUSSE E D A, FRANSEN M L, SMIT E G. Framing in entertainment-education: effects on processes of narrative persuasion[J]. Health Communication, 2017, 32(12): 1501-1509. doi: 10.1080/10410236.2016.1234536 pmid: 27813655
[22]	LIU Sixiao, YANG J Z, CHU Haoran. Now or future? analyzing the effects of message frame and format in motivating Chinese females to get HPV vaccines for their children[J]. Patient Education and Counseling, 2019, 102(1): 61-67. doi: S0738-3991(18)30692-X pmid: 30219633
[23]	SHEN Fuyan, SHEER V C, LI Ruobing. Impact of narratives on persuasion in health communication: a meta-analysis[J]. Journal of Advertising, 2015, 44(2): 105-113.

投入指标	特征
叙事代入	是否有人物、事件、环境、时间、情感类词语
叙事视角	是否出现我、我们、你、你们等人称代词
信息框架	是否出现采取行动后出现的好处或者收益类语句
媒介类型	是否涉及视频、音频词语
叙事技巧	是否含有恐惧信息词语

DMU	投入指标					产出指标
DMU	X₁	X₂	X₃	X₄	X₅	Y₁	Y₂	Y₃
应急(含消防)类	57	98	5	98	14	1 371	666	53 702
公检法类	120	281	8	274	32	774	33	1 502
中央级主流媒体	41	76	0	77	13	33 162	4 140	32 2384
其他政府类	202	273	20	293	52	19 752	13 226	500 246
地方级媒体	300	485	68	529	64	7 768	8 629	100 630

DMU	综合效率	纯技术效率	规模效率	规模收益
应急或消防类	0.155	0.929	0.167	递增
公检法类	0.009	0.406	0.023	递增
中央级主流媒体	1.000	1.000	1.000	不变
其他政府类	0.889	1.000	0.889	递减
地方级媒体	0.423	0.504	0.840	递减
平均值	0.495	0.768	0.584	—

DMU	投入指标					产出指标
DMU	${{{s}_{X}}_{1}}^{-}$	${{{s}_{X}}_{2}}^{-}$	${{{s}_{X}}_{3}}^{-}$	${{{s}_{X}}_{4}}^{-}$	${{{s}_{X}}_{5}}^{-}$	${{{s}_{Y}}_{1}}^{+}$	${{{s}_{Y}}_{2}}^{+}$	${{{s}_{Y}}_{3}}^{+}$
应急(含消防)类	1.987	2.499	0.773	2.332	0.000	4 153.051	23.632	0.000
公检法类	0.181	0.891	0.076	0.801	0.000	0.000	63.637	6 022.432
中央级主流媒体	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
其他政府类	48.669	0.000	17.764	14.593	4.716	86 190.177	0.000	529 669.650
地方级媒体	41.556	46.929	28.773	63.473	0.000	61 351.541	0.000	571 314.820
改进占比平均值/%	8.34	0.25	29.48	3.94	9.10	305.82	39.26	214.92