580 research outputs found
Multimedia Planning Strategies as a Tool for International Journalism and Alternative Media Studies
News development is currently affected by digitalization. Therefore, media scholars using digital means to cover the news must develop the so-called âmultimedia mindsetâ among professional journalists and media students. It is not enough to teach the technologyâthe scholars have to embrace new journalism tools to incorporate them with the story planning activities. This article aims to look into how the aforementioned planning activities are used in the curriculum for Russian media students and professionals in the field of international journalism. The paper is qualitative and descriptive based on secondary data reported in hybrid written media. Also, this research uses a case study dealing with a proposed new program âInternational News Productionâ a track within the Contemporary Journalism Master program including alternative media at the High School of Economics Media Institute in Moscow. The findings of this study shed light on the skills needed in new alternative media. Students undergoing the proposed new program in alternative and international media enhance their professional skills and qualifications while experiencing Russian culture. Graduates from the program shall have ample opportunities to pursue careers in various areas of the media industry, including visual journalism, data journalism, storytelling, production, and newsroom management at various international newsrooms. Teaching new alternative media methods can be easily projected to the work with practicing journalists in news channels and information agencies
Artificial Intelligence and Fake News
Artificial intelligence depends on digital devicesâ performance to perform tasks regularly, requiring human intelligence, using special software to accomplish work easier and faster, carrying out data-packed tasks, and providing useful analytics or solutions. It also requires a specialized laboratory that provides high-performance computing capabilities and a technical platform for deep machine learning. These resources will enable the artificial intelligence platform to master the machine learning techniques of using, developing, simulating, predicting models, and building ready-to-use technological solutions such as analytics platforms.
In general, the artificial intelligence system manipulates and manages large amounts of training data to form correlations and patterns used in building future predictions . A limited-memory artificial intelligence system can store a limited amount of information based on the data that have been processed and dealt with previously to build knowledge by memory when combined with pre-programmed data. Consequently, one may ask how artificial intelligence applications contribute to verifying the truthfulness of the media through digital media. How do they contribute to preventing the spread of misleading and false news?
This study tries to answer the following question: What methods and tools are adopted by artificial intelligence to detect fake news, especially on social media platforms and depending on artificial intelligence laboratories?
This paper is framed within automation control theory and by defining the needed control tools and programs to detect fake news and verify media facts
An Assessment of the University Usage of Social Media Platforms: Case from LebanonâTheoretical FoundationsâPart 1
This paper, part of two, aims to assess how a selection of Lebanese Universities utilizes social media platforms to attract potential student candidates. Social Media is considered a significant recruitment tool universities use to attract high school graduates from the millennium digital generation. Different universities have dealt differently with social media, so capturing recorded activity is essential to assess such efforts and pinpoint gaps to justify student recruitment investments by universities. This study uses a mix of quantitative and qualitative methods. A descriptive comparative analysis is carried out based on collected data from the different university social media platforms to help categorize selected universities in their efforts, successes, and gaps. However, this paper, the first part of two, represents the theoretical foundations needed for the study. Paper part two (2) will follow to illustrate the numerical and graphical analysis. Results show a lack of motivation schemes to attract potential candidates and encourage them to interact with such platforms. Moreover, universities lack specialized digital marketing staff to produce the appropriate content and design marketing strategies that are attractive, interactive, and with high response rates to inquiries
Canonical surfaces associated with projectors in Grassmannian sigma models
We discuss the construction of higher-dimensional surfaces based on the harmonic maps of S2 into PNâ1 and other Grassmannians. We show that there are two ways of implementing this procedureâboth based on the use of the relevant projectors. We study various properties of such projectors and show that the Gaussian curvature of these surfaces, in general, is not constant. We look in detail at the surfaces corresponding to the Veronese sequence of such maps and show that for all of them this curvature is constant but its value depends on which mapping is used in the construction of the surface
Classification of the quantum deformation of the superalgebra
We present a classification of the possible quantum deformations of the
supergroup and its Lie superalgebra . In each case, the
(super)commutation relations and the Hopf structures are explicitly computed.
For each matrix, one finds two inequivalent coproducts whether one chooses
an unbraided or a braided framework while the corresponding structures are
isomorphic as algebras. In the braided case, one recovers the classical algebra
for suitable limits of the deformation parameters but this is no
longer true in the unbraided case.Comment: 23p LaTeX2e Document - packages amsfonts,subeqn - misprints and
errors corrected, one section adde
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