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利用社交计算通过社交媒体进行个性化危机沟通。

Leveraging Social Computing for Personalized Crisis Communication using Social Media.

作者信息

Leykin Dmitry, Aharonson-Daniel Limor, Lahad Mooli

机构信息

Department of Emergency Medicine, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel; PREPARED Center for Emergency Response Research, Ben-Gurion University of the Negev, Israel.

The Community Stress Prevention Centre (CSPC), Israel; MA program in Dramatherapy, Tel-Hai College, Upper Galile, Israel.

出版信息

PLoS Curr. 2016 Mar 24;8:ecurrents.dis.b2c5870adf1b7a77af82e7d5552aabe7. doi: 10.1371/currents.dis.b2c5870adf1b7a77af82e7d5552aabe7.

Abstract

INTRODUCTION

The extensive use of social media in modern life redefines social interaction and communication. Communication plays an important role in mitigating, or exacerbating, the psychological and behavioral responses to critical incidents and disasters. As recent disasters demonstrated, people tend to converge to social media during and following emergencies. Authorities can then use this media and other computational methods to gain insights from the public, mainly to enhance situational awareness, but also to improve their communication with the public and public adherence to instructions.

METHODS

The current review presents a conceptual framework for studying psychological aspects of crisis and risk communication using the social media through social computing.

RESULTS

Advanced analytical tools can be integrated in the processes and objectives of crisis communication. The availability of the computational techniques can improve communication with the public by a process of Hyper-Targeted Crisis Communication.

DISCUSSION

The review suggests that using advanced computational tools for target-audience profiling and linguistic matching in social media, can facilitate more sensitive and personalized emergency communication.

摘要

引言

社交媒体在现代生活中的广泛使用重新定义了社会互动和交流。沟通在减轻或加剧对重大事件和灾难的心理及行为反应方面起着重要作用。正如近期的灾难所显示的,人们在紧急情况期间及之后倾向于聚集到社交媒体上。当局随后可以利用这种媒介及其他计算方法从公众那里获取见解,主要是为了增强态势感知,同时也是为了改善与公众的沟通以及公众对指示的遵守情况。

方法

当前的综述提出了一个概念框架,用于通过社会计算利用社交媒体研究危机与风险沟通的心理方面。

结果

先进的分析工具可以整合到危机沟通的过程和目标中。计算技术的可用性可以通过超精准危机沟通的过程改善与公众的沟通。

讨论

该综述表明,在社交媒体中使用先进的计算工具进行目标受众分析和语言匹配,可以促进更敏感和个性化的应急沟通。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8958/4821767/2c6cc99010c7/table1-1.jpg

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