scholarly journals CLASSIFICATION OF “FAKE” NEWS IN MODERN MEDIA SPACE: SYNERGETIC ASPECT

2019 ◽  
pp. 275-280
Author(s):  
Glavatska Yuliia
Keyword(s):  
Fake News ◽  
Modern Media ◽  
Media Space

scholarly journals Fake News in Modern Media Space

2019 ◽  
Vol 8 (4) ◽  
pp. 774-786
Author(s):  
Victoria Dorofeeva
Keyword(s):  
English Language ◽  
High Rate ◽  
Fake News ◽  
Theoretical Understanding ◽  
Government Organizations ◽  
Modern Media ◽  
Communication Processes ◽  
Media Space ◽  
The Media ◽  
False News

The author attempts to provide theoretical understanding of the essence and content of the media space. It was determined that the primary task of the media space is to understand our reality, to implement effective communication and to form public opinion. The author mentions that the modern media space functions in the conditions of increasing speed of communication processes which generate “waves” of information noise. Thus, fake news appears in the media field increasingly frequently. The author found out that the content of the «fake news» concept has not been clearly defined yet and comprehensive studies of this relatively new phenomenon are not available either. There are no definite criteria for classifying news as fake. According to the author, fake news is completely or partially fictional information about certain individuals, public events and events in general, which is presented in the media as real authoritative journalistic materials. The article describes the mechanism of the origin of fake news and its distribution in the media space. The main reasons for faking include the high rate of content delivery, the “infotainment” and the relaying nature of journalism. The results of the study allow the author to define fake news as discretely existing types of news. The author also considers national cultural features and the mechanism of distribution of false news in Internet networks. Specific Russian- and English-language sites hosting fake news are analyzed, their impact on society is studied. The author concludes that systematic misinformation of the audience leads to de-professionalization, discrediting of media workers and de-institutionalization of journalism. The article presents data indicating the concern of the world community about the distribution of fake Internet content. There are examples of the creation of special government organizations and the development of legislative initiatives to combat fakes. The author gives a number of recommendations to identify fake news in the wide media space.

PECULIARITIES AND CONDITIONS OF ACTIVITY OF BOOK PUBLISHING HOUSES OF UKRAINE IN THE MODERN MEDIA SPACE

2018 ◽  
Author(s):  
Tetyana Jezhyzhanska
Keyword(s):  
Information Technologies ◽  
Rapid Development ◽  
Book Publishing ◽  
Cultural Development ◽  
The Internet ◽  
Modern Media ◽  
Media Space ◽  
The World ◽  
The Status ◽  
Book Publishers

In the information society the status of information is changing: this main value of global civilization becomes an important resource of socio- economic, technological and cultural development. The rapid development of virtual technologies and the growing number of Internet users in Ukraine and in the world causes the new challenges to communication of each organization. The book publishers are also obliged to respond to these processes. However, the works devoted directly to publishers’ communication in the modern media space are still lacking in Ukraine. The objective of the article is to clarify peculiarities and conditions of the activities of Ukrainian book publishers in today’s media space which is an important issue today. It is analyzed the literature and sources on this issue and it is ascertained the theoretical and practical possibilities to take into account the trends in the world of modern media in the PR-activity of book publishers. Also the prospects for further scientific study and practical use of PR-communications in the activity of publishers are determined. The analysis of current changes in the modern information space allows us to trace the general tendencies: the new subject and object areas are formed; the number of subjects is expanded; the new formats of interaction within the system of communications of the organization and in society as a whole are created. That means that publishing house’s PR-communications are complicated by the emergence of new elements, such as active audience, social networks as communication channels, promotions on the Internet and others. PR communication in the Internet space is the most effective and inexpensive tool for interaction of publishers with active audiences. Thus, the activation of PR communication in the modern media space is associated with the emergence of the latest information technologies, online media as well as development of Internet. The use of online channels of Internet for communication with the target audience of publishing organizations has certain advantages over traditional media. At the same time, it is necessary to take into account the information saturation of media space, which complicates the way of PR-messages of book publishers to the reader.

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

scholarly journals Typology of Business-Related Fake News Online: A Literature Review

2020 ◽  
Vol 5 (4) ◽  
pp. 234-243
Author(s):  
Marko Selakovic ◽  
Anna Tarabasz ◽  
Monica Gallant
Keyword(s):  
Content Analysis ◽  
Literature Review ◽  
Academic Research ◽  
Marketing Research ◽  
Jel Classification ◽  
Future Research ◽  
Fake News ◽  
Recent Emergence ◽  
News Online

Objective – This review paper discusses the emergence of scholarly articles related to the typology and classification of fake news and offers solutions for identified gaps, such as unstandardized terminology and unstandardized typology in the field of fake news-related research. Typology of fake news is a critical topic nowadays: recently emerged fake news needs to be categorized and analyzed in a structured manner in order to respond appropriately. Methodology/Technique – Based on the systematic review of literature identified in scientific databases, different typologies of fake news have been identified and a new typology of business-related fake news online has been proposed. New typology of business-related fake news online is based on factors such as level of facticity, intention to deceive and financial motivation. Findings and novelty – Content analysis of 326 articles containing terms related to the typology of fake news and classification of fake news indicates that the term “typology of fake news” is predominantly used in management, marketing and communications research, while the term “classification of fake news” is predominantly used in the information technology research. The content analysis also indicates the recent emergence of the topic of typology and classification of fake news in academic research, revealing that all articles related to these topics have been published on or after 2016. In addition to the contribution by presenting comprehensive typology of business-related fake news online, this paper also provides recommendations for future research and improvements related to the typology of fake news, emphasizing business-related fake news and fake news spread in the digital space. Type of Paper: Review JEL Classification: M31, M39. Keywords: Fake News; Crisis Communications; Online Communications; Digital Marketing; Management Research; Marketing Research Reference to this paper should be made as follows: Selakovic, M; Tarabasz, A; Gallant, M. (2020). Typology of Business-Related Fake News Online: A Literature Review, J. Mgt. Mkt. Review 5(4) 234 – 243. https://doi.org/10.35609/jmmr.2020.5.4(5)

scholarly journals Research note: The scale of Facebook’s problem depends upon how ‘fake news’ is classified

2020 ◽  
Author(s):  
Richard Rogers
Keyword(s):  
Presidential Elections ◽  
Mass Scale ◽  
Research Note ◽  
User Engagement ◽  
Fake News ◽  
Scale Problem ◽  
Media Organizations ◽  
False News

Ushering in the contemporary ‘fake news’ crisis, Craig Silverman of Buzzfeed News reported that it outperformed mainstream news on Facebook in the three months prior to the 2016 US presidential elections. Here the report’s methods and findings are revisited for 2020. Examining Facebook user engagement of election-related stories, and applying Silverman’s classification of fake news, it was found that the problem has worsened, implying that the measures undertaken to date have not remedied the issue. If, however, one were to classify ‘fake news’ in a stricter fashion, as Facebook as well as certain media organizations do with the notion of ‘false news’, the scale of the problem shrinks. A smaller scale problem could imply a greater role for fact-checkers (rather than deferring to mass-scale content moderation), while a larger one could lead to the further politicisation of source adjudication, where labelling particular sources broadly as ‘fake’, ‘problematic’ and/or ‘junk’ results in backlash.

scholarly journals Audiobook, audio podcast, audio series – modern formats of the media space

Bibliosphere ◽  
2020 ◽  
pp. 56-63
Author(s):  
V. Yu. Bal
Keyword(s):  
The Novel ◽  
Sound Design ◽  
Media Environment ◽  
Cognitive Aspect ◽  
Modern Media ◽  
Research Material ◽  
Technical Base ◽  
Media Space ◽  
The Media ◽  
Qualitative Changes

The article discusses modern audioformats – audiobook, audio series and audio podcast. Now these formats have gained great popularity and demand, considerable market weight with their own segment, the growth of which experts note. The research material is audio products of the modern market, which reflect the trends in the development of audio literature in the current media environment. The scientific novelty of the work consists in the consideration of an audiobook, an audio series and an audio podcast in the context of a new stage in the development of audio culture. The problem of popularity of the studied audio products is considered in direct dependence on audio reading. It is understood as a modern modification of auditory reading, as a reader’s practice due to the qualitative changes in the material and technical base for creating audio records, for their copying and use. The analysis of audio formats in the informational, sociocultural and cognitive aspect of the modern media consumption allows the determination new editorial approaches to the work with audio texts. Conclusions are as follows: one can observe the tendency to transit from voicing printed texts to creating texts specially for voicing; there is a reduction in the novel form, stories become popular; the editing of audio books and audio series requires support from sound design principles; the editorial and director’s task on preparing podcasts is associated with the compositional alignment of several voices of storytellers, forming a single ideological and thematic field.

scholarly journals Looks Real, or Really Fake? Warnings, Visual Attention and Detection of False News Articles

2019 ◽  
Vol 3 (1) ◽  
pp. 166-180
Author(s):  
Bartosz W. Wojdynski ◽  
Matthew T. Binford ◽  
Brittany N. Jefferson
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Information Design ◽  
Correct Classification ◽  
Fake News ◽  
False Information ◽  
Article Type ◽  
Science News ◽  
False News

Abstract In recent years, online misinformation designed to resemble news by adopting news design conventions has proven to be a powerful vehicle for deception and persuasion. In a 2 (prior warning: present/absent) x 2 (article type: false/true) eye-tracking experiment, news consumers (N=49) viewed four science news articles from unfamiliar sources, then rated each article for credibility before being asked to classify each as true news or as false information presented as news. Results show that reminding participants about the existence of fake news significantly improved correct classification of false news articles, but did not lead to a significant increase in misclassification of true news articles as false. Analysis of eye-tracking data showed that duration of visual attention to news identifier elements, such as the headline, byline, timestamp on a page, predicted correct article classification. Implications for consumer education and information design are discussed.

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