scholarly journals Capturing the Interplay between Risk Perception and Social Media Posting to Support Risk Response and Decision Making

Author(s):  
Huiyun Zhu ◽  
Kecheng Liu

This research aims to capture the interplay between risk perception and social media posting through a case study of COVID-19 in Wuhan to support risk response and decision making. Dividing users on Sina Weibo into the government, the media, the public, and other users, we address two main research questions: Whose posting affects risk perception and vice versa? How do different categories of social media users’ posts affect risk perception and vice versa? We use Granger causality analysis and impulse response functions to answer the research questions. The results show that from one perspective, the government and the media on Sina Weibo play critical roles in forming and affecting risk perceptions. From another perspective, risk perception promotes the posting of the media and the public on Sina Weibo. Since government’s posting and media’s posting can significantly enhance the public’s perceptions of risk issues, the government and the media must remain vigilant to provide credible risk-related information.

2021 ◽  
Vol 9 ◽  
Author(s):  
Yi-Chih Lee ◽  
Wei-Li Wu ◽  
Chia-Ko Lee

People have felt afraid during the outbreak of coronavirus disease 2019 (COVID-19), because a virus is an invisible enemy. During the pandemic outbreak, society has become worried about the spread of infections and the shortage of protective equipment. This common fear among the public subsequently deepens each person's fear, increasing their belief in the content reported by the media and thus actively compelling these individuals to engage in the behavior of panic buying. In this study, we explored the effects of the public's risk perception, state anxiety, and trust in social media on the herding effect among individuals. The study was based on an online questionnaire survey and convenience sampling. The results showed that the public's risk perception increased their state anxiety and then deepened their willingness to wait in line for a purchase. In addition, the more people that trust the message delivered by the media, the more actively they will join the queue to buy goods. This study also found that anxiety had a greater impact on the public's willingness to wait for a purchase than trust in social media. Therefore, the top priority for the government should be to reduce the public's state anxiety and then reduce the herding effect.


2020 ◽  
Vol 25 (13) ◽  
Author(s):  
Anna-Leena Lohiniva ◽  
Jussi Sane ◽  
Katja Sibenberg ◽  
Taneli Puumalainen ◽  
Mika Salminen

Understanding risk perceptions of the public is critical for risk communication. In February 2020, the Finnish Institute for Health and Welfare started collecting weekly qualitative data on coronavirus disease (COVID-19) risk perception that informs risk communication efforts. The process is based on thematic analysis of emails and social media messages from the public and identifies factors linked to appraisal of risk magnitude, which are developed into risk communication recommendations together with health and communication experts.


2021 ◽  
Author(s):  
Shuhuan Zhou ◽  
Yi Wang

BACKGROUND During the COVID-19 outbreak, social media served as the main platform for information exchange, through which the Chinese government, media and public would spread information. At the same time, a variety of emotions interweave, and the public emotions would also be affected by the government and media. OBJECTIVE This study aims to investigate the types, trends and relationships of emotional diffusion in Chinese social media among the public, the government and the media under the pandemic of COVID-19 (December 30,2019, to July 1,2020) . METHODS In this paper, Python 3.7.0 and its data crawling framework Scrapy 1.5.1 are used to write a web crawler program to search for super topics related to COVID-19 on Sina Weibo platform of different keywords . Then, we used emotional lexicon to analyze the types and trends of the public, government and media emotions on social media. Finally cross-lagged regression was applied to build the relationships of different subjects’ emotions. RESULTS The highlights of our study are threefold: (1) The public, the government and the media mainly diffuse positive emotions during the COVID-19 pandemic in China; (2) Emotional diffusion shows a certain change over time, and negative emotions are obvious in the initial phase of the pandemic, with the development of the pandemic, positive emotions surpass negative emotions and remain stable. (3)The impact among the three main emotions with the period as the time point is weak, while the impact of emotion with the day as the time point is relatively obvious. The emotions of the public and the government impact each other, and the media emotions can guide the public emotions. CONCLUSIONS This is the first study of comparing pubic, government and media emotions on the social media during COVID-19 pandemic in China. The pubic, the government and the media mainly diffuse positive emotions during the pandemic. And the government and the media have better effect on short-term emotional guidance. Therefore, when the pandemic suddenly occurs, the government and the media should intervene in time to solve problems and conflicts and diffuse positive and neutral emotions. In this regard, the government and the media can play important roles through social media in the major outbreaks. At the theoretical level, this paper takes China's epidemic environment and social media as the background to provide one of the explanatory perspectives for the spread of emotions on social media. At the some time, because of this special background, it can provide comparison and reference for the research on internet emotions in other countries.


2020 ◽  
pp. 1-9 ◽  
Author(s):  
Melissa Mialon ◽  
Diego Alejandro Gaitan Charry ◽  
Gustavo Cediel ◽  
Eric Crosbie ◽  
Fernanda Baeza Scagliusi ◽  
...  

Abstract Objective: To identify and monitor food industry use of political practices during the adoption of nutrition warning labels (WL) in Colombia. Design: Document analysis of publicly available information triangulated with interviews. Setting: Colombia. Participants: Eighteen key informants from the government (n 2), academia (n 1), civil society (n 12), the media (n 2) and a former food industry employee (n 1). Results: In Colombia, the food industry used experts and groups funded by large transnationals to promote its preferred front-of-pack nutrition labelling (FOPL) and discredit the proposed warning models. The industry criticised the proposed WL, discussing the negative impacts they would have on trade, the excessive costs required to implement them and the fact that consumers were responsible for making the right choices about what to eat. Food industry actors also interacted with the government and former members of large trade associations now in decision-making positions in the public sector. The Codex Alimentarius was also a platform through which the industry got access to decision-making and could influence the FOPL policy. Conclusions: In Colombia, the food industry used a broad range of political strategies that could have negatively influenced the FOPL policy process. Despite this influence, the mandatory use of WL was announced in February 2020. There is an urgent need to condemn such political practices as they still could prevent the implementation of other internationally recommended measures to improve population health in the country and abroad, nutrition WL being only of them.


Author(s):  
Aulia Nur Kasiwi ◽  
Achmad Nurmandi

Purpose: Social media has been used by the government to disseminate information to the public. As we know that the transformation of organization have a several aspect which are related within values, behaviour knowledge, organization culture and mindset of the employee it self. This research aim to investigate the social media infomation through out the public policy. Methodology: The research question is how the government can be able to use social media to know the main point in the data that crowded. This research using mix method of gathering the data analysis within the quantitative and qualitative method. Gephy is the one of application that was using in this research for analyzing the integrated system each department by social media especially on Facebook. Main Findings: The research result is the part of facebook analysis has found that government organization has a 40%. For the partition of Community Service is 20%. For the Public & Government Service has a 20% because Bangga Surabaya just received the information comes from Sapawarga Kota Surabaya. As well as the Media/News Company namely with Kabar Surabaya pages that has 20%. Implications: The conclusion is, on the one hand, the subjective government of Surabaya has made efforts to be able to carry out the collectivity of information received through social media where this will also help the government's performance in providing services to the community. Novelty: this research describes the government practice and implementation on social media to increase their performance and make social media beneficially as the new tool to communicate with the public.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Dyaloka Puspita Ningrum

Social media is the media of choice for information and communication used by today’s millennial generation, especially for participants in the service consisting of 2 nd grade students of SMA N 1 Pleret, Bantul, Yogyakarta. Much of the phenomenon of cybercrime is the spread of hoaxes that need high attention and alertness.this service activity was conducted using speech, discussion and simulation methods. The government is trying though the  UU ITE to prevent and reduce negative content’s in cyberspace with sanctions and threats legally that can harm others. Young people as a generation of the nation must be able to take smart and wise actions from existing social problems. Dissemination of hoax news in the form of SMS broadcasts, job carrier or information in the form of social events in the community without any clear source has occurred and has become a boomerang for media users themselves. There have been many parties responsible and dealing with the legal umbrella. As the nation’s successor, millennial adolescents must increase socialization activities and fight hoaxes as crimes in cyberspace without having to trust every photo and video circulating in the public.


2020 ◽  
pp. 004728752098113
Author(s):  
Nigel L. Williams ◽  
Philipp Wassler ◽  
Nicole Ferdinand

In addition to being formally defined as a pandemic, COVID-19 has been classified as an “infodemic” and “(mis)infodemic.” As an “infodemic,” the information environment on COVID-19 is constantly evolving, with emerging scientific findings, political responses, media coverage, and individual impressions all shared on social media. Initial positions on behaviors and potential treatments were presented and then discarded because of low efficacy or improper research procedures. Further, there has been a fragmented geopolitical response with differing political systems exhibiting varying approaches to decision making and health outcomes, which has lead to confusion of the public. As a “misinfodemic,” COVID-19 discussions have also attracted actors seeking to share misinformation enabled and exacerbated by social media networks, which include willful distortions as well as conspiracy theories. Combined, this (mis)infodemic can change risk perceptions of travel, resulting in travel patterns based on technological, regulatory, and perceived behavioral homophily.


MedienJournal ◽  
2017 ◽  
Vol 30 (2-3) ◽  
pp. 37
Author(s):  
Li Xiguang

The commercialization of meclia in China has cultivated a new journalism business model characterized with scandalization, sensationalization, exaggeration, oversimplification, highly opinionated news stories, one-sidedly reporting, fabrication and hate reporting, which have clone more harm than good to the public affairs. Today the Chinese journalists are more prey to the manipu/ation of the emotions of the audiences than being a faithful messenger for the public. Une/er such a media environment, in case of news events, particularly, during crisis, it is not the media being scared by the government. but the media itself is scaring the government into silence. The Chinese news media have grown so negative and so cynica/ that it has produced growing popular clistrust of the government and the government officials. Entering a freer but fearful commercially mediated society, the Chinese government is totally tmprepared in engaging the Chinese press effectively and has lost its ability for setting public agenda and shaping public opinions. 


2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.


2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Andrew Kibblewhite ◽  
Peter Boshier

Concern exists that New Zealand hasn’t struck the right balance between two potentially competing principles of good government: officials should provide free and frank advice to ministers, and the public should have opportunities to participate in decision making and hold the government to account. Steps we have taken to address this include: strengthening constitutional underpinnings for free and frank advice (Cabinet Manual changes and issuing expectations for officials); a work programme to improve government agency practice in relation to the Official Information Act; and the Office of the Ombudsman reducing uncertainty about when advice can be withheld by issuing new principles-based guidance and providing more advisory services.


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