Public Attention to Natural Hazard Warnings on Social Media in China

2018 ◽  
Vol 11 (1) ◽  
pp. 183-197 ◽  
Author(s):  
Xi Hu ◽  
Xiujuan Zhang ◽  
Jiuchang Wei
Keyword(s):  
Social Media ◽  
Natural Hazard ◽  
Rapid Development ◽  
Protective Action ◽  
Target Area ◽  
Public Attention ◽  
Warning Messages ◽  
Protective Action Decision Model ◽  
Hazard Warnings ◽  
Hazard Warning

Abstract Hazard warning is vital in disaster management. The rapid development of social media allows warning producers and receivers to exchange warning messages effectively and sufficiently. This study investigates the factors that influence public attention to natural hazard warning information on social media. Drawing from the protective action decision model and framing theory, this study classifies antecedents into three groups, namely, hazard information, publisher’s/reader’s characteristics, and frame setting. To test the hypotheses empirically, we select Sina Weibo, the leading social network in China, as the research context. From this platform, 3452 warning messages issued by authorities in the target area are collected. We code each message based on its attributes that are related to our study for linear regression analyses. Results show that all the factors related to publisher’s/reader’s characteristics exert significant effects on public attention. However, the affected range indicated by a warning message and the formality of the message’s language are not significantly related to public attention to the message.

scholarly journals Tsunami Warning Message Interpretation and Sense Making: Focus Group Insights

2016 ◽  
Vol 8 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Jeannette Sutton ◽  
Chelsea Woods
Keyword(s):  
Protective Action ◽  
Individual Risk ◽  
Sense Making ◽  
Specific Information ◽  
Warning Messages ◽  
Message Interpretation ◽  
Hazard Warnings ◽  
Using Data ◽  
Imminent Threat ◽  
Hazard Warning

Abstract Hazard warning messages are intended to shift people from a sense of safety to a sense of risk, while providing guidance for protective action. Message features, such as the content elements that are included and the style in which a message is written or delivered, can strengthen or weaken a recipient’s ability to make sense of and act on the message. Under conditions of heightened uncertainty or imminent threat the strategies that people apply to interpret warning messages may make a difference in the protective actions that they choose to take. Importantly, when a hazard is unfamiliar and the threat is imminent, adequate mental models and clearly articulated messages become vital to one’s ability to make decisions about life safety. To better understand the message interpretation and the effects of message sense making on individual risk information processing, this article assesses warnings for an infrequently experienced threat: tsunamis. Using data from four focus groups this research finds that individuals engage in interpretive sense making activities by making comparisons to media accounts of tsunamis and drawing from personal experience with waves and with warnings for other hazards, particularly tornadoes. The analysis presents three primary insights: 1) hazard warning messages must be designed for the end user in mind, including those who are unfamiliar with the hazard; 2) clear and specific information helps to personalize the threat and to reduce anxiety; and 3) message receivers draw from personal and vicarious experiences to assist in message sense making, highlighting the need for consistent language across hazard warnings.

EFFECT OF DIGITAL COMMUNITY TOWARDS DEMOCRACY PROCESS: DIGITAL PARTISIPATION ANALYSIS IN INDONESIA

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Alih Aji Nugroho
Keyword(s):  
Public Policy ◽  
Social Media ◽  
Political Participation ◽  
Public Space ◽  
Rapid Development ◽  
Critical Mass ◽  
Digital Society ◽  
Digital World ◽  
Digital Community ◽  
The Government

The world is entering a new phase of the digital era, including Indonesia. The unification of the real world and cyberspace is a sign, where the conditions of both can influence each other (Hyung Jun, 2018). The patterns of behavior and public relations in the virtual universe gave rise to new social interactions called the Digital Society. One part of Global Megatrends has also influenced public policy in Indonesia in recent years. Critical mass previously carried out conventionally is now a virtual movement. War of hashtags, petitions, and digital community comments are new tools and strategies for influencing policy. This paper attempts to analyze the extent of digital society's influence on public policy in Indonesia. As well as what public policy models are needed. Methodology used in this analysis is qualitative descriptive. Data collection through literature studies by critical mass digital recognition in Indonesia and trying to find a relationship between political participation through social media and democracy. By processing the pro and contra views regarding the selection of social media as a level of participation, this paper finds that there are overlapping interests that have the potential to distort the articulation of freedom of opinion and participation. - which is characteristic of a democratic state. The result is the rapid development of digital society which greatly influences the public policy process. Digital society imagines being able to participate formally in influencing policy in Indonesia. The democracy that developed in the digital society is cyberdemocracy. Public space in the digital world must be guaranteed security and its impact on the policies that will be determined. The recommendation given to the government is that a cyber data analyst is needed to oversee the issues that are developing in the digital world. Regulations related to the security of digital public spaces must be maximized. The government maximizes cooperation with related stakeholders.Keywords: Digital Society; Democracy; Public policy; Political Participation

Penerapan Strategi Social Media Marketing Untuk Meningkatkan Penjualan Pada Dealer Mobil Toyota, Daihatsu dan Honda Bandung

Infoman s ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 115-124
Author(s):  
Yopi Hidayatul Akbar ◽  
Muhammad Agreindra Helmiawan
Keyword(s):  
Social Media ◽  
Search Engine ◽  
Social Media Marketing ◽  
Public Attention ◽  
Media Companies ◽  
Social Media Networks ◽  
Internet Users ◽  
Marketing Activities ◽  
The University ◽  
Website Content

Social media is one of the information media that is currently widely used by several companies and personally to convey information, with the presence of social media companies no longer need to spread offers through print media, they can use information technology tools in this case social media to submit offers the products they sell to users globally through social media. This social media marketing technique is the process of reaching visits by internet users to certain sites or public attention through social media sites. Marketing activities using social media are usually centered on the efforts of a company to create content that attracts attention, thus encouraging readers to share the content through their social media networks. The application of the QMS method is certainly not only submitted through search engine webmasters, but also on a website keywords must be applied that relate to the contents of the website content, because with the keyword it will automatically attract visitors to the university website based on keyword phrases that they type in the search engine. With Search Media Marketing Technique (SMM) is one of the techniques that must be applied in conducting sales promotions, especially in car dealers in Bandung, it is considered important because each product requires price, feature and convenience socialization through social media so that sales traffic can increase. Each dealer should be able to apply the techniques of Social Media Marketing (SMM) well so that car sales can reach the expected target and provide profits for sales as car sellers in the field.

EFEKTIVITAS PEMASARAN BANK SYARIAH MENGGUNAKAN MEDIA SOSIAL INSTAGRAM DI INDONESIA” (Studi Kasus pada PT. BNI Syariah)

Paradigma ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 1-15
Author(s):  
Indriyani ◽  
Rizal Fahlevi
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Communication Media ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Islamic Bank ◽  
Marketing Effectiveness

The purpose of this study is to see the level of marketing effectiveness carried out by Bank BNI Syariah using social media Instagram. The rapid development of Instagram in Indonesia has made Bank Negara Indonesia Syariah actively use this social media as a forum for promotion on Instagram under the account name @ bni.syariah. So it is recorded that as of January 2019 the @ bni.syariah account has the most followers or followers of 37.8 thousand. Then followed by the account @banksyariahmandiri 36.4 thousand followers, @brisyariah 32.5 thousand followers, @ bank.muamalat 25.7 thousands followers, @bankbjbsyariah 8,095 followers, @bankmegasyariah 5,619 followers, @hababankaceh 5,399 followers, @bank_syariahbukopin 2,736 followers, and @ panindubaisyariah.bank 263 followers. Instagram is effectively used as a marketing medium for Islamic banks, especially for BNI Syariah, which is effectively used as a media for promotion and communication media with BNI Syariah customers. With the existence of Instagram as a marketing medium for Islamic banks, in this case BNI Syariah is very helpful in introducing Islamic bank products and helping to increase BNI Syariah revenue itself. Although, currently Instagram social media is only used as a promotional media or the first media for BNI Syariah to introduce Islamic banking products and is also used as a medium of communication with active BNI Syariah customers. So that any complaints or problems, especially related to service, customers can immediately submit complaints to BNI Syariah via Instagram, and problems can be resolved according to the customer's needs.

scholarly journals Faster than warp speed: early attention to COVD-19 by anti-vaccine groups on Facebook

2021 ◽  
Author(s):  
Seth C Kalichman ◽  
Lisa A Eaton ◽  
Valerie A Earnshaw ◽  
Natalie Brousseau
Keyword(s):  
Social Media ◽  
Vaccine Development ◽  
Rapid Development ◽  
Development Program ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Conspiracy Theories ◽  
The Us ◽  
Us Government ◽  
Vaccine Information

Abstract Background The unprecedented rapid development of COVID-19 vaccines has faced SARS-CoV- (COVID-19) vaccine hesitancy, which is partially fueled by the misinformation and conspiracy theories propagated by anti-vaccine groups on social media. Research is needed to better understand the early COVID-19 anti-vaccine activities on social media. Methods This study chronicles the social media posts concerning COVID-19 and COVID-19 vaccines by leading anti-vaccine groups (Dr Tenpenny on Vaccines, the National Vaccine Information Center [NVIC] the Vaccination Information Network [VINE]) and Vaccine Machine in the early months of the COVID-19 pandemic (February–May 2020). Results Analysis of 2060 Facebook posts showed that anti-vaccine groups were discussing COVID-19 in the first week of February 2020 and were specifically discussing COVID-19 vaccines by mid-February 2020. COVID-19 posts by NVIC were more widely disseminated and showed greater influence than non-COVID-19 posts. Early COVID-19 posts concerned mistrust of vaccine safety and conspiracy theories. Conclusion Major anti-vaccine groups were sowing seeds of doubt on Facebook weeks before the US government launched its vaccine development program ‘Operation Warp Speed’. Early anti-vaccine misinformation campaigns outpaced public health messaging and hampered the rollout of COVID-19 vaccines.

scholarly journals Determinant Factors in Personal Decision-Making to Adopt COVID-19 Prevention Measures in Chile

2021 ◽  
Vol 18 (15) ◽  
pp. 8131
Author(s):  
Karina Fernanda Gonzalez ◽  
Maria Teresa Bull ◽  
Sebastian Muñoz-Herrera ◽  
Luis Felipe Robledo
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Protective Action ◽  
Prevention Measures ◽  
Protective Measures ◽  
Protective Action Decision Model ◽  
Exploratory Survey ◽  
Relevant Variables ◽  
Personal Decision ◽  
Action Decision

The pandemic has challenged countries to develop stringent measures to reduce infections and keep the population healthy. However, the greatest challenge is understanding the process of adopting self-care measures by individuals in different countries. In this research, we sought to understand the behavior of individuals who take self-protective action. We selected the risk homeostasis approach to identify relevant variables associated with the risk of contagion and the Protective Action Decision Model to understand protective decision-making in the pandemic. Subsequently, we conducted an exploratory survey to identify whether the same factors, as indicated in the literature, impact Chile’s adoption of prevention measures. The variables gender, age, and trust in authority behave similarly to those found in the literature. However, socioeconomic level, education, and media do not impact the protection behaviors adopted to avoid contagion. Furthermore, the application of the Protective Action Decision Model is adequate to understand the protective measures in the case of a pandemic. Finally, women have a higher risk perception and adopt more protective measures, and in contrast, young people between 18 and 30 years of age are the least concerned about COVID-19 infection.

A shift from science to politics : a content analysis of COVID-19 Videos on YouTube (Preprint)

2021 ◽  
Author(s):  
Chyun-Fung Shi ◽  
Matthew C So ◽  
Sophie Stelmach ◽  
Arielle Earn ◽  
David J D Earn ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Large Scale ◽  
Control Measures ◽  
Mitigation Measures ◽  
Health Campaigns ◽  
Public Attention ◽  
Conflicting Information ◽  
Social Media Platforms

BACKGROUND The COVID-19 pandemic is the first pandemic where social media platforms relayed information on a large scale, enabling an “infodemic” of conflicting information which undermined the global response to the pandemic. Understanding how the information circulated and evolved on social media platforms is essential for planning future public health campaigns. OBJECTIVE This study investigated what types of themes about COVID-19 were most viewed on YouTube during the first 8 months of the pandemic, and how COVID-19 themes progressed over this period. METHODS We analyzed top-viewed YouTube COVID-19 related videos in English from from December 1, 2019 to August 16, 2020 with an open inductive content analysis. We coded 536 videos associated with 1.1 billion views across the study period. East Asian countries were the first to report the virus, while most of the top-viewed videos in English were from the US. Videos from straight news outlets dominated the top-viewed videos throughout the outbreak, and public health authorities contributed the fewest. Although straight news was the dominant COVID-19 video source with various types of themes, its viewership per video was similar to that for entertainment news and YouTubers after March. RESULTS We found, first, that collective public attention to the COVID-19 pandemic on YouTube peaked around March 2020, before the outbreak peaked, and flattened afterwards despite a spike in worldwide cases. Second, more videos focused on prevention early on, but videos with political themes increased through time. Third, regarding prevention and control measures, masking received much less attention than lockdown and social distancing in the study period. CONCLUSIONS Our study suggests that a transition of focus from science to politics on social media intensified the COVID-19 infodemic and may have weakened mitigation measures during the first waves of the COVID-19 pandemic. It is recommended that authorities should consider co-operating with reputable social media influencers to promote health campaigns and improve health literacy. In addition, given high levels of globalization of social platforms and polarization of users, tailoring communication towards different digital communities is likely to be essential.

scholarly journals A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness (Preprint)

2021 ◽  
Author(s):  
Vishal Dey ◽  
Peter Krasniak ◽  
Minh Nguyen ◽  
Clara Lee ◽  
Xia Ning
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Natural Language Processing ◽  
Data Analysis ◽  
Natural Language ◽  
Language Processing ◽  
Breast Implant ◽  
Public Attention ◽  
Social Media Data ◽  
Media Data

BACKGROUND A new illness can come to public attention through social media before it is medically defined, formally documented, or systematically studied. One example is a condition known as breast implant illness (BII), which has been extensively discussed on social media, although it is vaguely defined in the medical literature. OBJECTIVE The objective of this study is to construct a data analysis pipeline to understand emerging illnesses using social media data and to apply the pipeline to understand the key attributes of BII. METHODS We constructed a pipeline of social media data analysis using natural language processing and topic modeling. Mentions related to signs, symptoms, diseases, disorders, and medical procedures were extracted from social media data using the clinical Text Analysis and Knowledge Extraction System. We mapped the mentions to standard medical concepts and then summarized these mapped concepts as topics using latent Dirichlet allocation. Finally, we applied this pipeline to understand BII from several BII-dedicated social media sites. RESULTS Our pipeline identified topics related to toxicity, cancer, and mental health issues that were highly associated with BII. Our pipeline also showed that cancers, autoimmune disorders, and mental health problems were emerging concerns associated with breast implants, based on social media discussions. Furthermore, the pipeline identified mentions such as rupture, infection, pain, and fatigue as common self-reported issues among the public, as well as concerns about toxicity from silicone implants. CONCLUSIONS Our study could inspire future studies on the suggested symptoms and factors of BII. Our study provides the first analysis and derived knowledge of BII from social media using natural language processing techniques and demonstrates the potential of using social media information to better understand similar emerging illnesses. CLINICALTRIAL

scholarly journals Native Advertising—The Formats and Types of Content Most Demanded by Brands in the Spanish Media

2021 ◽  
Vol 2 (4) ◽  
pp. 529-544
Author(s):  
Daniel Zomeño ◽  
Rocío Blay-Arráez
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Editorial Content ◽  
Media Environment ◽  
The Social ◽  
Media Ecosystem ◽  
The Media ◽  
Media Formats ◽  
Depth Interviews

Media convergence and the incorporation of new narratives typical of the consumption habits of younger audiences in the social media environment have led to the proliferation of a wide variety of formats and types of content in the media ecosystem through which the editorial content offered to brands is being distributed. This qualitative research, using in-depth interviews with a qualified sample of branded content managers from the main Spanish media, allows us to determine the main characteristics of the native advertising demanded by advertisers. The results corroborate observations that content channelled through more sophisticated consumption experiences, using both multimedia and interactivity with a clear transmedia approach, tends to be better received by the audience and, therefore, in greater demand by brands. It also confirms that both video and social media formats have grown exponentially when it comes to providing an outlet for branded content. Based on the results obtained, a proposed classification of these products, including definitions, has been drawn up so they can be publicised to the professional world, offering the reflection and precision that their rapid development has not allowed until now.

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