Mobilizing Public Will For Social Change

Examines the theory and strategies of "public will" campaigns and offers tangible criteria for their evaluation. It provides a rich inventory of strategies for use in mobilizing the public will through an integration of models of agenda building, social problem construction, issues management, social movements, media advocacy, and social capital. In addition, the paper provides cases and examples of public will campaigns directed at various social problems, along with criteria for evaluating these campaigns at various stages of a social problem's life cycle

Vortex of the Web. Potentials of the online environment

This volume compiles international contributions that explore the potential risks and chances coming along with the wide-scale migration of society into digital space. Suggesting a shift of paradigm from Spiral of Silence to Nexus of Noise, the opening chapter provides an overview on systematic approaches and mechanisms of manipulation – ranging from populist political players to Cambridge Analytica. After a discussion of the the juxtaposition effects of social media use on social environments, the efficient instrumentalization of Twitter by Turkish politicans in the course of the US-decision to recognize Jerusalem as Israel’s capital is being analyzed. Following a case study of Instagram, Black Lives Matter and racism is a research about the impact of online pornography on the academic performance of university students. Another chapter is pointing out the potential of online tools for the successful relaunch of shadow brands. The closing section of the book deals with the role of social media on the opinion formation about the Euromaidan movement during the Ukrainian revolution and offers a comparative study touching on Russian and Western depictions of political documentaries in the 2000s

e-Extinction: An Illusion of Knowledge, The Presence of Ignorance, or Evolutionary Fate?

At present, the rate of small firm adoption of the Internet's ubiquitous World Wide Web (the web) far exceeds the actual exploitation its commercial potential. An inability to strategically acquire, comprehend and use external knowledge is proposed as a major barrier to optimal exploitation of the Internet. This paper discusses the limitations of applying market orientation theory to explain and guide small firm exploitation of the web. Absorptive capacity is introduced as an alternative theory that when viewed from an evolutionary perspective provides potentially more insightful discussion. An inability to detect emerging business model dominant designs is suggested to be a mixture of the nature of the technology that supports the Internet and underdeveloped small firm knowledge processing capabilities. We conclude with consideration of the practical and theoretical implications that arise from the paper

Origin and evolution of the News Finds Me perception: Review of theory and effects

Research revolving social media and democracy has exploded. For almost two decades, scholarship has offered new theories, revisited some old ones, and provided empirical evidence that helped cast a strong light on social media effects over people’s social life, and democracy at large. Thanks to social media, citizens consume news, express their political views, discuss political matters, and participate in political activities. However, social media also cultivates the dissemination of fake news and misinformation, exposure to hate speech, media fragmentation, and political polarization. In short, social media seems to simultaneously be a springboard for encouraging and undesirable outcomes that foster and challenge democracies alike. One of these phenomena that stems from social media news use is the News Finds Me perception (NFM), which takes place when individuals feel they do not have to actively seeks news any more to be well-informed about public affairs, as they expect to receive relevant news and information by relying on their peers in social media. This article traces back the origin of the theory, its evolution, and the set of effects found in the literature. It also presents guidelines for future research and potential challenges as the scholarship centering on NFM continues to grow

Development of a New Behavioral Assay for Juvenile Berghia stephanieae

Developing robust behavioral assays to study olfactory-driven behaviors allows for greater insight into the neural mechanisms behind them. Oftentimes, olfactory behavioral assays require a two-choice design, consistent variables, and controlled stimulus application. This can be challenging when working with marine dwelling organisms such as nudibranchs. Extensive work shows the importance of olfaction in both pre-metamorphic larval development and adult stage nudibranchs (Gastropoda, Mollusca). However, there is little research investigating how olfaction plays a role in rapidly developing, post-metamorphic juvenile nudibranchs such as Berghia stephanieae. To study olfactory-associated behaviors in juvenile Berghia, a novel behavioral microfluidic chip was designed which met the requirements for a reliable olfaction assay. Baseline motor behaviors such as general locomotion, turns, and contractions were observed. Despite individuals being raised in the same cohort, animal-to-animal variability was found in relation to their baseline behaviors. Xylene cyanol, a commonly used dye in microfluidics, was found to be aversive at a range of concentrations (0.075% - 0.025%) causing the animal to tightly contract and turn away from the stimulus. Juveniles showed no significant behavioral response to a 0.00125% dilution which was necessary to confirm a constant flow in the microfluidic chip. Juveniles showed a strong preference towards fluid that had been conditioned with their preferred food source odor, the sea anemone Exaiptasia diaphana. This was judged to be an innate preference because it occurred upon the first exposure of these animals to the odor. Serial dilution of Exaiptasia conditioned seawater (ECS) uncovered a threshold for behavioral preference of 60%. In summary, the development of this behavioral provides an opportunity to present controlled olfactory stimuli while observing the juvenile’s behaviors. This will allow future experiments to examine the neural mechanisms behind both aversive and attractive stimuli and provides a method for testing olfactory learning and memory in this species

Critical Market Crashes

This review is a partial synthesis of the book ``Why stock market crash'' (Princeton University Press, January 2003), which presents a general theory of financial crashes and of stock market instabilities that his co-workers and the author have developed over the past seven years. The study of the frequency distribution of drawdowns, or runs of successive losses shows that large financial crashes are ``outliers'': they form a class of their own as can be seen from their statistical signatures. If large financial crashes are ``outliers'', they are special and thus require a special explanation, a specific model, a theory of their own. In addition, their special properties may perhaps be used for their prediction. The main mechanisms leading to positive feedbacks, i.e., self-reinforcement, such as imitative behavior and herding between investors are reviewed with many references provided to the relevant literature outside the confine of Physics. Positive feedbacks provide the fuel for the development of speculative bubbles, preparing the instability for a major crash. We demonstrate several detailed mathematical models of speculative bubbles and crashes. The most important message is the discovery of robust and universal signatures of the approach to crashes. These precursory patterns have been documented for essentially all crashes on developed as well as emergent stock markets, on currency markets, on company stocks, and so on. The concept of an ``anti-bubble'' is also summarized, with two forward predictions on the Japanese stock market starting in 1999 and on the USA stock market still running. We conclude by presenting our view of the organization of financial markets.Comment: Latex 89 pages and 38 figures, in press in Physics Report

Increasing public skepticism in the face of imminent dangers from climate change: A call for science to repair rifts between society and academia

This project is a composition of a literature review, our learning process, and an attached experimental project. The project as a whole sought to understood how and why policies/corporations resist environmentally sustainable practices/laws and makes suggestions for how to convince people to change their behaviors and utilize their power as consumers. Overall, our goal was to investigate and understand the relationship between science and the public by composing a literature review of environmental science, sociology, and psychology papers, and then compose a presentation that would communicate the threat of climate change. The interdisciplinary nature of climate change made this research necessary because prior to this project, we understood climate change solely on a scientific level, without fully understanding the other spheres involved in environmental science. The literature review outlines instances of when environmental science has effectively engaged non-scientists and other areas of the field that have failed to connect to the public. The subsequent sections and text explain our thought process and our attempts to begin addressing the public successfully and creatively

Factors Influencing Consumer Bidding Behavior in Online Auction (Consumer-to-Consumer)

According to the critical analysis of theoretical and empirical literature, there is a need to better understand and to examine the relationship between consumer bidding behavior in online auctions and the related influencing factors. Online auction is a relatively new field of study. It is important to further research the area of online auctions. The theoretical structure, research questions, research hypotheses, and the hypothesized research model are introduced. Theory of Reasoned Auction, Theory of Planned Behavior, and Technology Acceptance Model are used as theoretical foundations of this study. This study focuses on the relationship between consumer bidding behaviors in online auctions, and factors influencing those behaviors. The research is focused on the following influencing factors: customer satisfaction, ease of use of the web site, and demographic profile. A non-experimental, quantitative, correlational research design was conducted to study the relationship between influencing factors and consumer bidding behavior. The target population was people with online shopping experience with eBay who have current access to the Internet. After IRB approval, the researcher collected the date by a paper and pen questionnaire at a public beach in Boca Raton. The questionnaire was handed out to the eligible participants. The questionnaires were dropped in a closed box. The data for this study collected from at least 146 eligible participants using pen and paper questionnaire as an instrument. Findings helped to serve the online consumers and the vendors, as well as being a scholarly contribution to the study of online bidding. This study used SPSS software to analyze the collected data. Descriptive statistics, Cronbach alpha, Pearson r correlation, simple regression, and multiple regressions, were applied in this study. The study findings indicated that an individual\u27s bidding behavior is influenced positively by factors like consumer satisfaction and ease of use and bidding behavior is not influenced by demographic characteristics

An Efficient Method to Enhance Health Care Big Data Security in Cloud Computing Using the Combination of Euclidean Neural Network And K-Medoids Based Twin Fish Cipher Cryptographic Algorithm

Big data is a phrase that refers to the large volumes of digital data that are being generated as a consequence of technology improvements in the health care industry, e-commerce, and research, among other fields. It is impossible to analyze Big Data using typical analytic tools since traditional data storage systems do not have the capacity to deal with such a large volume of data. Cloud computing has made it more easier for people to store and process data remotely in recent years. By distributing large data sets over a network of cloudlets, cloud computing can address the challenges of managing, storing, and analyzing this new breed of data It's possible for private data to be leaked when it is kept in the cloud, as users have no control over it. This paper proposes a framework for a secure data storage by using the K-medoids-based twin fish cipher cryptographic algorithm. We first normalize the data using the Filter splash Z normalization and then apply the Euclidean neural network to compute similarity, which ensures data correctness and reduces computational cost. As a result, the suggested encryption strategy is used to encrypt and decode the outsourced data, thereby protecting private information from being exposed. The whole experiment was conducted using health data from a large metropolis from the Kaggle database. Using the recommended encryption method, users will be able to maintain their privacy while saving time and money by storing their large amounts of data on the cloud