This paper explores the use of the social networking site, Facebook, by the GenerationX cohort (those born 1966-1980 inclusive) currently living in the United Kingdom(identified as a somewhat under-studied group to date). Utilising a ‘Uses &Gratifications Theory’ and ‘(Media) Dependency Theory’ approach and the quantitativeempirical data collection method of an extensive online ‘self-fill’ questionnaire, a totalof 233 individuals from this cohort voluntarily provided the sought-after information,with data collected during early September 2018. An expanded version of Denis McQuail, Jay G. Blumler and J.R. Brown’s 1972 mediagratifications groups/descriptors is proposed and used for this paper’s analysis of results(see section 6.2.4) while a new single media term,‘online collaborative network’, isrecommended by the author as an alternative to current myriad of ‘social media’,‘social networking [site]’ and ‘collaborative media’ all used for the likes of Facebook(see section 9.2.2). Key project results suggest that the UK Generation X cohort spend an average of 75minutes per day using Facebook; that the most-utilised access method is via a mobilephone (89.7%); that the top two ‘uses’ of the social network are both passive ones(‘Scrolling through the homepage News Feed’ and ‘Spending time viewingPhotos/Videos uploaded by others’) and that the top three gratifications obtained fromFacebook use are ‘Contact with Friends’, ‘Contact with Family’ and (to) ‘Pass Time’. Additionally, results provide an interesting and potentially shocking overview ofexclusive dependency upon Facebook for the satisfaction of particular media needs,including the maintenance of contact with certain friends (87.6%) and certain familymembers (61.4%) and, worryingly, as an only source of news (15%).

This diploma thesis deals with a suitable proposal for a combination of promotional tools on social network sites Facebook and Instagram. In particular, the Reach, Views, and Followers variables will be tracked. In the theoretical part, the basic knowledge of the online marketing environment, knowledge of history and the advantages and disadvantages of classical and online marketing will be defined. In the upcoming analytical part from the described area, will be described potential opportunities for the development of social networking sites, which the author of this work uses to promote cultural events in Brno. The author of this work describes the competitive sites and profiles in the field of promotion of cultural events in Brno. In order to fulfill the stated goals of this work, a combination of paid or unpaid tools and their alternatives on the social networking sites Instagram and Facebook will be formulated.

This diploma thesis looks at building educational modules that will serve to build a basic awareness of safety for children in primary schools. The theoretical part describes the basic information from this area. The next part describes the assignment of individual modules and also describes the schools where the teaching took place. The practical section contains detailed fillings of these education modules.

The supposed diploma thesis is mapping the network of so-called pro-Russian media in the Czech Republic on social networking sites Twitter and Facebook and subsequent analysis of their audience. The purpose of this analysis is to process socio-demographic and other informations for specific media or their clusters. In the theoretical part of the thesis will be read into the issue and acquainted with the current state of knowledge in this area. In the practical part of the work will be demonstrated own research using methods of social network analysis (SNA). That is, tools that include objective changes, measuring and tracking relationships and information flows between entities.

With the advent of the telephonic and technological healthcare revolution, pharmaceutical corporations seek to improve patient compliance and quality of life by contracting with services providers. As an employee of one such provider, working for more than three years on a medication for the neurologically degenerative disease, multiple sclerosis, this investigation utilizes a mixed methodological approach. In order to improve and diversify the clinical services provided to patients, I was contracted as a consultant. I interviewed phone and PRN nurses, developed and released a PRN survey, and interviewed patients living in the Dallas/Fort Worth, Texas area. The combined experiences and expertise of the three groups who participated would serve to inform and develop new programs and services for patients with differing disease states. The research resulted in a re-imagining of the social networking theory of health, as well as the works of Pierre Bourdieu and Michel Foucault, to serve the evolving tele-health and technologically based healthcare workplace.

Group work and online discussions are not new terms in education and are important activities for Information Systems students. It has become important because it encourages creative thinking and provides more efficient problem-solving approaches. Online social networking sites, like Facebook, have pedagogical potential and the consideration of its academic application should not be ignored by lecturers or students. The main problem identified in this thesis is that the awareness and application of the emerging pedagogical potential of online social networking sites, like Facebook, especially for the purpose of group work and online discussions, is limited among Information Systems lecturers and students. The purpose of this study is to determine the level of awareness and application of Facebook as an academic tool by Information Systems lecturers and students, and whether it can enhance the learning experience of students, related to the effectiveness of group work and online discussions. The perceptions of both Information Systems lecturers and students were recorded by means of questionnaires and interviews. It was found that most lecturers and students were aware of Facebook’s pedagogical potential. However, the consideration and application of Facebook as an academic tool, by lecturers and students, are limited. From a cultural perspective, it was found that students from a private institution, where no Learning Management System was implemented, as well as black students, showed increased levels of utilisation and performance, in terms of enhanced learning experienced, on the academic groups on Facebook. The researcher developed a model for the academic application of Facebook for Information Systems students, based on the Task-Technology Fit and the Social Software Performance Model theories. This study concludes with the recommendation that Information Systems lecturers and students should become increasingly aware of and consider the pedagogical potential of Facebook as a supplementary tool and with suggestions for future research. / Dissertation (MCom)--University of Pretoria, 2010. / Informatics / unrestricted

O pojmu reputation management bylo dlouhou dobu slyšet převážně v oblasti marketingu ve spojení s budováním brandu. S rozvojem sociálních médií se na trhu objevily nástroje měřící osobní reputaci, jež kvantifikují uživatelovu interaktivitu na základě několika proměnných. Ty našly své uplatnění v rukou nepočetných social media profesionálů a geeků. Jak ale k řízení osobní reputace v sociálních sítích přistupují běžní uživatelé? Jak hodnotí reputaci členů svých sociálních sítí a jak se tyto poznatky odráží na jejich vlastním projevu? Tato práce se snaží nalézt cestu k zodpovězení těchto a dalších otázek. Principy kvalitativního přístupu se obrací k samotnému jádru tohoto procesu - tvůrcům a hodnotitelům osobní reputace a sociálním interakcím, jimiž se uskutečňuje. Abstract Reputation management is a notion which thus far has surfaced mainly in the field of marketing in relation to brand building. Following the expansion of social media, various personal reputation measuring tools have offered quantitative analyses of users' interactivity on the basis of several variables available on the market. However, these tools were useful for a limited group of social media professionals and enthusiasts. But how do average users approach personal reputation management on social networking sites? How do they...

Decentralization of web is, also known as Web 3.0 or Semantic Web, is catching on quickly. Deployment of a decentralized network or system for learning purposes in an educational institution could involve the use of new cutting-edge technologies and tools behind blockchain systems and Social Networking Sites (SNS). These technologies can be applied in the education sector to reap numerous benefits. The benefits could be in the areas of longdistance learning, real-time availability of learning content and assignments, improved collaboration between instructors and students, better evaluation of student performance, secure and transparent payment systems for courses, and easy and structured access to student records. Yet other benefits could be achieved by the implementing educational institution in the form of automation (using artificial intelligence and machine learning tools), cost reduction, improved efficiency, system reliability, and data security and privacy. However, like everything else, the decentralization of web or other such networks comes with its own set of challenges. This research study focuses on the challenges associated with implementing a decentralized learning model for learning systems of an educational institution. The study involved both primary and secondary research. First, a thorough review was conducted of the existing literature on the implementation of decentralization technologies in the education sector. Then, a survey was conducted among 25 students to collect information on their views of what these challenges are and to validate the findings from literature revie. The study concludes that, to fully realize the benefits of deploying these technologies to DWeb learning models, several challenges need to be overcome quickly. The survey that was conducted corroborated the findings from the literature review to a large extent. Though many respondents showed their satisfaction with the decentralized e-learning practices where they have been deployed, there still seem to be large gaps in understanding, awareness, deployment, and fine-tuning of such learning systems. The survey results revealed a strong resistance to the use of new technologies among educators; a lack of accessibility to resources and technical support; and a lack of competency and confidence due, perhaps, to a lack of operational training. Overcoming these challenges would require better awareness and understanding of the current trends and developments among both students and instructors. Education system should be well-prepared to train and update both students and instructors on how to best utilize these technologies to reap their benefits. Collaboration through digital means, as opposed to iii one-on-one classroom interactions, would also require a change in the mindset of the users of these learning models. / <p>Master Thesis </p>

This study examines how recent graduates with a Bachelor of Science in Media Technology use LinkedIn as a tool for job search and networking. It examines their thoughts around theirbehaviour in relation with how their behaviour can affect their future career opportunities. Thepurpose is to gain a deeper understanding of how LinkedIn is used which is based on the uses and gratifications theory. To examine this an abductive approach has been used, and four semistructured interviews have been done to gather data from the recent graduates. The study shows that recent graduates with a Bachelor of Science in Media Technology use LinkedIn as a tool for job search, but do not use the opportunity to network to its fullest potential. The recent graduates in this study are also passive users who use LinkedIn as a place to gather information that can be used later. This strengthens the earlier studies done in the field that students and recent graduates use LinkedIn passively and do not use the functions “liking”, “commenting”, “sharing” and “posting” to be more visible to the fullest. The recent graduates are aware of the opportunities LinkedIn provide and that it is beneficial for them to be more active there than they are today but find it difficult to know what they would contribute with by being more active.

Le crowdsourcing est une pratique permettant aux entreprises de faire appel à l’intelligence humaine à grande échelle afin d’apporter des solutions à des problématiques qu’elles souhaitent externaliser. Les problématiques externalisées sont de plus en plus complexes et ne peuvent être résolues individuellement. Nous proposons dans cette thèse une approche appelée SocialCrowd, contribuant à améliorer la qualité des résultats de crowdsourcing. Elle consiste à faire collaborer les participants afin d’unir leur capacité de résolution et apporter des solutions aux problèmes externalisés de plus en plus complexes. Les groupes collaboratifs sont mis en compétition, via des rétributions attrayantes, afin d’obtenir de meilleures résolutions. Par ailleurs, il est nécessaire de protéger les données privées des groupes en compétition. Nous utilisons les réseaux sociaux comme support de fuite de données. Nous proposons une approche basée sur l’algorithme Dijkstra pour estimer la probabilité de propagation de données privées d’un membre sur le réseau social. Ce calcul est complexe étant donné la taille des réseaux sociaux. Une parallélisation du calcul est proposée suivant le modèle MapReduce. Un algorithme de classification basé sur le calcul de propagation dans les réseaux sociaux est proposé permettant de regrouper les participants en groupes collaboratifs et compétitifs tout en minimisant les fuites de données d’un groupe vers l’autre. Comme ce problème de classification est d’une complexité combinatoire, nous avons proposé un algorithme de classification basé sur les algorithmes d’optimisation combinatoires tels que le recuit simulé et les algorithmes génétiques. Etant donnée le nombre important de solutions possible, une approche basée sur le modèle du Soft Constraint Satisfaction Problem (SCSP) est proposée pour classer les différentes solutions. / Crowdsourcing is the practice of allowing companies to use human intelligence scale to provide solutions to issues they want to outsource. Outsourced issues are increasingly complex and cannot be resolved individually. We propose in this thesis an approach called SocialCrowd, helping to improve the quality of the results of crowdsourcing. It compromise to collaborate participants to unite solving ability and provide solutions to outsourced problems more and more complex. Collaborative groups are put in competition through attractive remuneration, in order to obtain better resolution. Furthermore, it is necessary to protect the private information of competing groups. We use social media as a support for data leakage. We propose an approach based on Dijkstra algorithm to estimate the propagation probability of private data member in the social network. Given the size of social networks, this computation is complex. Parallelization of computing is proposed according to the MapReduce model. A classification algorithm based on the calculation of propagations in social networks is proposed for grouping participants in collaborative and competitive groups while minimizing data leaks from one group to another. As this classification problem is a combinatorial complexity, we proposed a classification algorithm based on combinatorial optimization algorithms such as simulated annealing and genetic algorithms. Given the large number of feasible solutions, an approach based on the model of Soft Constraint Satisfaction Problem (SCSP) is proposed to classify the different solutions.