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Artificial intelligence in the media industry and media education. Main challenges and competitive advantages
No full textСтаттю присвячено вивченню проблем інтеграції новітніх технологій в освітній процес підготовки спеціалістів креативних галузей, а також у виробничий процес фахівців медіа. У розвідці розглянуто особливості використання медіавиробниками та медіаосвітянами інструментів штучного інтелекту (далі – ШІ) як додаткової технології, здатної урізноманітнити й збагатити медіаконтент, сприяти покращенню якості медіапродукції. На основі порівняльного аналізу з’ясовано, як взаємодія людського інтелекту зі штучним надаватиме конкурентних переваг студентами в навчальному середовищі, а також працівникам медіасфери в бізнес-середовищі.
Проблематизовано нові реалії фахівців креативних галузей та медіаосвітян, у яких з’явився АІ (Аrtificial Іntelligence)-помічник, здатний швидко генерувати великі обсяги інформації. Це, з одного боку, позитивно впливає на швидкість обробки даних, сприяє зростанню ефективності показників виробничих процесів у медіасфері, підвищує технологічні можливості та ефективність навчання. А з другого – може призвести до зниження якості контенту, втрати його автентичності, унікальності, оригінальності, авторства, навіть за наявності чітких нормативних стандартів.
Акцентовано, що проблемою є й те, що сьогодні переважна більшість успішних підприємств дотримується тенденцій впровадження технологій ШІ з метою оптимізації виробництва, зокрема за рахунок зменшення навантаження на працівників медіасфери. Це в майбутньому може стати причиною скорочення фахівців медіагалузі та негативно позначиться на людському капіталі. Виокремлено трансформаційні виклики, переваги, з’ясовано правові засади медіафахівців і медіаосвітян в умовах використання генеративного штучного інтелекту, запропоновано правила доброчесної співпраці людського інтелекту зі штучним.The article is devoted to the study of the problems of integrating the latest technologies into the educational process of training specialists in creative industries, as well as into the production process of media specialists. The research examines the peculiarities of the use of artificial intelligence tools (hereinafter - AI) by media producers and media educators as an additional technology capable of diversifying and enriching media content and improving the quality of products. On the basis of a comparative analysis, it was found out how the interaction of human intelligence with artificial intelligence will contribute to gaining competitive advantages by students in the educational environment, as well as media workers in the business environment.
The new realities of specialists in creative industries and media educators, who have an AI assistant capable of quickly generating large amounts of information, are problematized. This, on the one hand, has a positive effect on the speed of data processing, contributes to the growth of indicators of production processes in the media sphere, increases technological capabilities, and the effectiveness of training. And from the second, it can lead to a decrease in the quality of the content, loss of its authenticity, uniqueness, originality, authorship, even in the presence of clear regulatory standards. It was emphasized that the problem is that today the vast majority of successful enterprises follow the trends of implementing AI technologies in order to optimize production, including by reducing the burden on media workers. In the future, this may lead to the reduction of specialists in the media industry and negatively affect human capital. The transformational challenges and advantages are highlighted, the legal principles of media specialists and media educators in connection with the use of generative artificial intelligence are clarified, and the rules for the virtuous development of human intelligence with artificial intelligence are proposed
DIGITAL GENERATION’S MOTIVATIONAL ADVANTAGES IN CREATIVE ECONOMICS OF DIGITAL ERA
Full text linkTo produce a quality media product, professionals who can generate creative ideas and have sufficient skills, abilities, knowledge, intellectual potential and are also able to creatively and effectively implement it into a competitive product, are needed in the age of informatization and digitalization. However, due to transformation processes, including robotization of the media industry, the emergence of artificial intelligence, integration of creative industries with Internet resources, increasing not only of the number of products on the media market, but also their producers, including bloggers, YouTubers, prosumers, the competition to attract the audience’s attention is strengthening in various segments of the media. The digital generation of centenarians Z, who are now 20-25 years old, are becoming leading specialists in production processes at the media company in the era of creative economy, knowledge economy. This means that their intellectual potential must be so high that they can constantly generate new creative ideas and be ready for the constant regeneration of knowledge in order to create a competitive media product in a competitive environment. This study aims to examine digital generation’s preferences, creativity, skills, motivational advantages to determine the resourcefulness of the human factor in the production processes of media companies, in particular to improve communication between employees and create a quality competitive media product that can capitalize manufacturing processes on the basis of a properly chosen competitive strategy.To produce a quality media product, professionals who can generate creative ideas and have sufficient skills, abilities, knowledge, intellectual potential and are also able to creatively and effectively implement it into a competitive product, are needed in the age of informatization and digitalization. However, due to transformation processes, including robotization of the media industry, the emergence of artificial intelligence, integration of creative industries with Internet resources, increasing not only of the number of products on the media market, but also their producers, including bloggers, YouTubers, prosumers, the competition to attract the audience’s attention is strengthening in various segments of the media. The digital generation of centenarians Z, who are now 20-25 years old, are becoming leading specialists in production processes at the media company in the era of creative economy, knowledge economy. This means that their intellectual potential must be so high that they can constantly generate new creative ideas and be ready for the constant regeneration of knowledge in order to create a competitive media product in a competitive environment. This study aims to examine digital generation’s preferences, creativity, skills, motivational advantages to determine the resourcefulness of the human factor in the production processes of media companies, in particular to improve communication between employees and create a quality competitive media product that can capitalize manufacturing processes on the basis of a properly chosen competitive strategy
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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