On Social Value of Risk Information in Risk Communication

2017 ◽  
Vol 3 (4) ◽  
Author(s):  
Yan Wang
Keyword(s):  
Risk Communication ◽  
Private Information ◽  
Public Perception ◽  
Risk Information ◽  
Scientific Data ◽  
Social Value ◽  
Public Understanding ◽  
Public And Private ◽  
Personal Bias ◽  
Proposed Model

The conventional research of risk communication centers on how scientific community can improve trust and credibility in public perception, enhance public understanding of risks, and change public behaviors to conform to technocratic values. More recently, the emphasis of risk communication has evolved from conveying scientific data and risk information to establishing effective information flows. It has been recognized that establishing two-way communication channels among experts, governments, corporate, and general public is important to build trust relationship. With conflicting interests and coordination motive among stakeholders, the societal aspects of risk communication need to be considered. In this paper, a mathematical model of social value of risk information is proposed to explicitly incorporate factors such as public and private information, personal bias, knowledge, and social behavior in risk communication. Uncertainties associated with the perceived risks due to both the lack of knowledge and individual differences in population are considered in the proposed model. The impacts of precision and accuracy of risk information as well as subjective bias on social welfare are characterized. Some of the model predictions on the effectiveness of communication are verified with the observations in other's survey studies. The proposed model could potentially be used to help devise risk communication strategies and policies. Its use is demonstrated in a case study of Fukushima nuclear accident.

scholarly journals Crisis Communication and Public Perception of COVID-19 Risk in the Era of Social Media

2020 ◽  
Author(s):  
Kristen M C Malecki ◽  
Julie A Keating ◽  
Nasia Safdar
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Public Perception ◽  
Risk Mitigation ◽  
Improve Patient Care ◽  
Personal Control ◽  
Mitigation Strategies ◽  
Public Understanding ◽  
Scientific Uncertainty ◽  
Late 20Th Century

Abstract A number of important principles in effective risk communication established in the late 20th century can provide important scientific insight into patient response to the risks posed by coronavirus disease 2019 (COVID-19). Early risk communication scholars found acceptability of risk was shaped by 2 key components: hazard and outrage. The number of people who are exposed, infected, and fall ill can be considered the hazard. How the public and patients and respond to messages regarding risk mitigation relates to outrage. Social and cultural factors, immediacy, uncertainty, familiarity, personal control, scientific uncertainty, and trust in institutions and media all shape perception and response to risk mesaging. Outrage factors influence the ever-changing public understanding of COVID-19 risk. In concert, hazard and outrage along with cultural and economic context shape adherence to, and overall acceptance of, personal mitigation strategies including wearing facemasks and social distancing among the general public. The spread of misinformation on social media also provides both challenges and opportunities for clinicians. Social media offers an opportunity for experts to quickly convey true information about hazards, but offers others the opportunity to counter this with the spread of misinformation and exacerbate outrage. We propose strategies for infectious diseases clinicians to apply risk communication principles and frameworks to improve patient care and public message development in response to COVID-19.

The Public and Private Information Sources of Volatility

2011 ◽  
Author(s):  
Anne Opschoor ◽  
Michel van der Wel ◽  
Dick J. C. van Dijk ◽  
Nicholas Taylor
Keyword(s):  
Private Information ◽  
Information Sources ◽  
Public And Private ◽  
The Public

scholarly journals Delegated trade and the pricing of public and private information

2015 ◽  
Vol 60 (2-3) ◽  
pp. 8-32 ◽  
Author(s):  
Daniel J. Taylor ◽  
Robert E. Verrecchia
Keyword(s):  
Private Information ◽  
Public And Private

scholarly journals Best Paper Selection

2017 ◽  
Vol 26 (01) ◽  
pp. 212-213
Keyword(s):  
Logistic Regression ◽  
Private Information ◽  
Statistical Models ◽  
Heart Sound ◽  
Information Leakage ◽  
Scientific Data ◽  
Training Data ◽  
Genotype Data ◽  
Scientific Data Management ◽  
Heart Sound Segmentation

Agarwal V, Podchiyska T, Banda JM, Goel V, Leung TI, Minty EP, Sweeney TE, Gyang E, Shah NH. Learning statistical models of phenotypes using noisy labeled training data. J Am Med Inform Assoc 2016;23(6):1166-73 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw028 Harmanci A, Gerstein M. Quantification of private information leakage from phenotype-genotype data: linking attacks. Nat Methods 2016;13(3):251-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834871/ Pfiffner PB, Pinyol I, Natter MD, Mandl KD. C3-PRO: Connecting ResearchKit to the Health System Using i2b2 and FHIR. PloS One 2016;11(3):e0152722 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816293/ Wilkinson MD, Dumontier M, Aalbersberg IJJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, ‘t Hoen PA, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016;3:160018 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175/ Springer DB, Tarassenko L, Clifford GD. Logistic regression-HSMM-based heart sound segmentation. IEEE Trans Biomed Eng 2016 Apr;63(4):822-32

scholarly journals E-Learning Financing Models in Russia for Sustainable Development

2020 ◽  
Vol 12 (11) ◽  
pp. 4412 ◽  
Author(s):  
Dayong Nie ◽  
Elena Panfilova ◽  
Vadim Samusenkov ◽  
Alexey Mikhaylov
Keyword(s):  
Sustainable Development ◽  
Traditional Education ◽  
Educational Process ◽  
Global Politics ◽  
Clear Understanding ◽  
Public And Private ◽  
Proposed Model ◽  
E Learning ◽  
New Vision ◽  
Russian Education

E-learning brings new dimensions to traditional education. This especially affects countries that, due to many factors, have historically been considered the “talent pool” for the world community. In this study, a model for financing e-education has been developed that is applicable to Russian realities. The model was built around the balance between demand (global politics, economics, and principles of sustainable development) and supply (sources of direct financing). As a result, a key challenge of improving the e-learning financing methodology and models, specifically the efficiency of government spending and private investing, demands the use of new approaches and mechanisms. To improve e-learning financing, a clear understanding of the applied purpose of public and private means is required. Responsibilities for the e-learning outcome of institutions that receive financing are linked to their status. An unclear understanding of these issues is more likely associated with the issue of transparency of financing than with inefficiency. The proposed model allows transforming the “standards” of financing both in the field of e-education and Russian education in general and presents a new vision of participants’ interaction in the educational process, taking into account a set of restrictions and market features.

scholarly journals Public Perception on Labeling Genetically Modified (GM) Foods in Ghana: Implications for Food Policy

2020 ◽  
pp. 25-37
Author(s):  
Richard Ampadu-Ameyaw ◽  
Johnny Owusu-Arthur ◽  
Kwame Dei Asamoah-Okyere
Keyword(s):  
Public Perception ◽  
Food Policy ◽  
Genetically Modified ◽  
National Policy ◽  
Public Understanding ◽  
Food Ingredients ◽  
The Public ◽  
Gm Food ◽  
Gm Foods ◽  
Choice Variable

Labeling of genetically modified (GM) food and other food ingredients from GM source has become an important national policy issues receiving serious attention not only in Ghana but globally.   This paper focused on public perceptions of labeling of GM foods in Ghana as a way of garnering a view of the public understanding of the technology that has become so much controversial for which several millions of public sector money is spent on education in the last few years. The survey which elapsed over a period of three months, shows results that indicate a dearth of knowledge on the technology and yet a high demand for labelling of the products, even though not many people read the labels on food products. This leads to the question as to ‘who is doing the listening’. The authors conclude that the limited knowledge and technology essentials among others explain why the public seems to reject the technology and call for labelling of the products in spite of the fact that labelling is nothing but a choice variable, which has nothing to do with safety measure. Modifying the present attitude of the opponents of the technology and the demanders of labelling ignoring the cost that may be involved require extensive education and awareness creations throughout the country using tailor made communication forms to address various different groups.

scholarly journals Making Smart and Sustainable Infrastructure Projects Viable: Private Choices, Public Support, and Systems Constraints

2017 ◽  
Vol 2 (3) ◽  
pp. 18-32 ◽  
Author(s):  
Douglas Noonan ◽  
Shan Zhou ◽  
Robert Kirkman
Keyword(s):  
Public Perception ◽  
Public Support ◽  
Green Technologies ◽  
Public And Private ◽  
Private Interests ◽  
Public Survey ◽  
Private And Public ◽  
Infrastructure Investments ◽  
Individual Use ◽  
The One

Sustainable cities will require major infrastructure investments coupled with widespread behavioral change. Examples of smart, green technologies abound, but evidence for actual use lags. This partly owes to the tension between public support and private choices: individuals thinking as members of the public may see solutions as smart for the city, but thinking of their private interests may see those same solutions as not smart for themselves. This also owes to the disconnect between private and public choices, on the one hand, and the workings of complex systems, on the other. Even if public and private interests align, existing built environment systems may resist change. This article examines public perception and use of the Atlanta BeltLine, a pioneering sustainability initiative to transform the auto-dependent city into a greener, denser city. Analyzing a general public survey reveals widespread support for the BeltLine alongside reticence from residents to change their commute or greenspace use. The findings also show that drivers of public support and prospective use of the BeltLine differ. Public support may be insufficient if individual use decisions do not follow. Yet, private adoption decisions may not follow until and unless the systems in which they are embedded are already changing.

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