HYPOTHESIZING THE APTNESS OF SOCIAL MEDIA AND THE INFORMATION RICHNESS REQUIREMENTS OF DISASTER MANAGEMENT

In this article, the author first analyzes the social presence theory, media richness theory and task-media fit to investigate the suitability of various types of Social Media in disaster management. Then, on the basis of this analysis, use of social media is proposed to facilitate the communication tasks involved in the interaction between disaster management agencies and communities during disaster management. Next the author adapt a conceptual framework that integrates three types of communication (involving disaster management agencies and communities). The framework is further used as a springboard to develop a number of hypotheses to predict the aptness of rich and lean types of Social Media against the media richness requirements of disaster management tasks

How do non-profit organizations in Libya adopt and use social media to communicate with the society

Social media becomes important channels to communicate between non-profit organization and community. This study aims to determine how non-profit organizations have adopted and use Facebook, and how does Facebook motivate donator or volunteer to help non-profit organizations in Libya context through two adoption theory: Media Richness theory and Diffusion theory. This paper focuses on the adoption and usage of social media by covering only non-profit organization in Libya which is registered under the supervision of the ministry of culture and civil society to be population of this study. The social media is limited only to Facebook

I am what I am – Convergence Behaviors on Online Discussion About the Safety of COVID-19 Vaccines

Using data from an online discussion on the risk of getting blood clot from Johnson & Johnson vaccine moderated by the New York Times Facebook page, we investigated the presence of eleven convergence behaviors, and the interaction between them. While recent research focuses on misinformation or fake news as the object of analysis, we argue in this exploratory research that it is equally important to analyze who and, whenever possible, why people engage in information exchange given a particular crisis, hence their convergence behaviors. Mapping the types of postings to their authors would be an additional step to design, develop, implement, and possibly, regulate online discussions for a more effective and just civic engagement. As we witness a mass manipulation of public opinion, our findings suggest that the number of netizens that seek to correct misinformation is growing. If the society goal is to swiftly rebut as many conspiracy theories as possible, we advocate for a dual social media control strategy: restrain as much as possible the misinformation spreaders/manipulators and encourage correctors to help propagate countervailing facts

Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication

Educational theory has purported the notion that student-centric modes of learning are more effective in enhancing student engagement and by extension, learning outcomes. However, the translation of this theoretical pedagogy of learning into an applied model for medical training has been wrought with difficulty due to the structural complexity of creating a classroom environment that enables students to exercise full autonomy. In this paper, we propose an intelligent computational e-learning platform for case-based learning (CBL) in Medicine that enriches and enhances the learning experiences of medical students by exposing them to simulated real-world clinical contexts. We argue that computational systems in Medicine should not merely provide a passive outlay of information, but instead promote active engagement through an immersive learning experience. This is achieved through a digital platform that renders a virtual patient simulation, which allows students to assess, diagnose, treat and test patients as they would in the real-world

Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework

Social media have introduced a contemporary shift from broadcast to participatory media, which has brought about major changes to the celebrity management model. It is now common for celebrities to bypass traditional mass media and take control over their promotional discourse through the practice of microcelebrity. The theory of microcelebrity explains how people turn their public persona into media content with the goal of gaining and maintaining audiences who are regarded as an aggregated fan base. To accomplish this, the theory suggests that people employ a set of online self-presentation techniques that typically consist of three core practices: identity constructions, fan interactions and promoting visibility beyond the existing fan base. Studies on single platforms (e.g., Twitter), however, show that not all celebrities necessarily engage in all core practices to the same degree. Importantly, celebrities are increasingly using multiple social media platforms simultaneously to expand their audience, while overcoming the limitations of a particular platform. This points to a gap in the literature and calls for a cross-platform study. This dissertation employed a mixed-methods research design to reveal how social media platforms i.e., Twitter and Instagram, helped celebrities grow and maintain their audience. The first phase of the study relied on a richness scoring framework that quantified social media activities using affordance richness, a measure of the ability of a post to deliver the information necessary in affording a celebrity to perform an action by using social media artifacts. The analyses addressed several research questions regarding social media uses by different groups of celebrities and how the audience responded to different microcelebrity strategies. The findings informed the design of the follow-up interviews with audience members. Understanding expectations and behaviors of fans is relevant not only as a means to enhance the practice’s outcome and sustain promotional activity, but also as a contribution to our understandings about contemporary celebrity-fans relationships mediated by social media. Three findings are highlighted. First, I found that celebrities used the two platforms differently, and that different groups of celebrities emphasized different core practices. This finding was well explained by the interviews suggesting that the audiences had different expectations from different groups of celebrities. Second, microcelebrity strategies played an important role in an audience’s engagement decisions. The finding was supported by the interviews indicating that audience preferences were based on some core practices. Lastly, while their strategies had no effect on follow and unfollow decisions, the consistency of the practices had significant effects on the decisions. This study makes contributions to the theory of Microcelebrity and offers practical contributions by providing broad insights from both practitioners’ and audiences’ perspectives. This is essential given that microcelebrity is a learned practice rather than an inborn trait

Social media adoption by microbusinesses

The social media implementation process (initiation, adoption, adaptation, acceptance, use and incorporation) is examined in correlation with the five factors (individual, organisational, technological, environmental and performance). Numerous existing theories from the innovation, technology adoption and performance measurement literature are used to derive probable relation between the implementation process and the five factors. Such expansive scope and comprehensive theory development has been articulated but never attempted. To manage the large scope, microbusinesses are selected purposefully due to their limited business processes. The research design reflects the need for relevance by using Lewin’s action research (traditional social change model) as the primary method augmented by participant observation (physical and online). Data collection uses a mix of unstructured, semi-structured and structured interviews assisted by structured observation. Data analysis uses a set of routines, such as tabulation, categorisation, abstraction and verification, involving prediction and testing. The research finds that a collaborative process to address concerns, along with quick start and self-training, helped to adopt social media. Participants needed to focus on concrete experience, work-place learning and personal knowledge for learning to use social media. Usefulness arising from improved communication, fitness and medium richness was the dominant indicator for acceptance and use. Continued use relied on satisfaction and habit of the user. Individual characteristics and personality factors both seemed to be a poor indicator of adoption with weak links towards extroversion. Microbusinesses suffered primarily from context and mental mode related challenges for social media use. Type of business, such as service shops, had a greater probability of success. Social media positively affected relationship marketing in terms of service quality. Business activity associated with specialisation seemed to perform poorly with social media. Finally, performance measurement techniques included finding the capability of social media to meet survival objectives, improve capacity utilisation and business resale value