The “Fake-News” Phenomenon and Transformation of Information Strategies in the Digital Society

Aleinikov, A. V.; Miletskiy, V. P.; Pimenov, N. P.; Стребков, А. И.

doi:10.3103/s0147688219020126

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…3.3.21 Disliked news stories. Aleinikov et al (2019) are the only source that classifies news that are disliked as a type of fake news. President Trump is the best embodiment of the act of calling undesirable news fake news.…”

Section: Persuasive Informationmentioning

confidence: 99%

Fake news: a classification proposal and a future research agenda

Rahmanian

2022

SJME

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Purpose This paper aims to unify fragmented definitions of fake news and also present a comprehensive classification of the concept. Additionally, it provides an agenda for future marketing research based on the findings. Design/methodology/approach A review of 36 articles investigating fake news from 1990 to 2020 was done. In total, 615 papers were found, and the article pool was refined manually in two steps; first, articles were skimmed and scanned for nonrelated articles; second, the pool was refined based on the scope of the research. Findings The review resulted in a new definition and a collective classification of fake news. Also, the feature of each type of fake news, such as facticity, intention, harm and humor, is examined as well, and a definition for each type is presented. Originality/value This extensive study, to the best of the author’s knowledge, for the first time, reviews major definitions and classification on fake news.

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Section: Persuasive Informationmentioning

confidence: 99%

Fake news: a classification proposal and a future research agenda

Rahmanian

2022

SJME

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“…At present, the wave of informatization characterized by digitalization, networking and intelligence is prevailing the world, promoting mankind to officially enter the digital information society [1][2][3][4][5][6][7]. The rapid development of information technology has had a major impact on all industries in society, not only changing human production and lifestyle [8][9][10][11][12], but also bringing about major changes in thinking and learning methods, and the new era background and new social background put forward higher goals for the cultivation of innovative talents [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Higher Vocational Students’ Innovation and Entrepreneurship Ability Demand Prediction

Gong¹,

Miao²,

Zhao³

et al. 2023

Int. J. Emerg. Technol. Learn.

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The new era background and new social background put forward higher goals for the cultivation of innovative talents. The accurate prediction of the demand for innovation and entrepreneurship vocational ability of higher vocational students provides an important reference for higher vocational educators to formulate refined innovation and entrepreneurship education management strategies, more balanced allocation of limited innovation and entrepreneurship education resources, and make more scientific innovation and entrepreneurship education decisions. This paper studies the prediction of innovation and entrepreneurship vocational ability demand of higher vocational students under the background of digital informatization and theoretically discusses the demand for innovation and entrepreneurship vocational ability of higher vocational students and its connotation. It constructs the demand prediction framework of innovation and entrepreneurship vocational ability of higher vocational students for data identified on the Knowledge Retrieval Engine or High-quality Knowledge Q&A and Sharing Community, and develops the collection and use methods of students' innovation and entrepreneurship resource retrieval data. It makes the feature selection of the keyword sequence and the corresponding time lag sequence selected by the higher vocational students' innovation and entrepreneurship resource retrieval and builds the prediction model of the vocational ability demand for innovation and entrepreneurship of higher vocational students. Experimental results verify the effectiveness of the proposed model.

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“…Fake news is comprehended as a piece of fabricated and usually sensational information spread under the garb of news. Propaganda, news updates not liked by people, hidden advertising, or biased journalism also fall under fake news 3 . Fake news is synonymously used for terms like disinformation (intentionally providing false information) and misinformation (unintentionally providing false information) [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Fake News Mapping the Fakeness through Scholarly Output Lenses

Shueb

Shafiq²,

Gul

et al. 2021

DESIDOC Jl. Lib. Info. Technol.

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The study attempts to map the trends across the scholarly publications published in the field of “Fake News.” Data were collected from one of the extensive indexing/abstracting services, Web of Science, the top indexing/abstracting service and a proprietary of Clarivate Analytics. The study reveals that the research on “Fake News” is mainly published as “articles” in English. Research on “Fake News” in terms of publication count and citation score shows a steady increase. “Lecture Notes in Computer Science,” “Professional De La Informacion,” and “New Media Society” stay as the prioritised platforms for researchers to publish their research. “Computer Science,” “Communication,” “Engineering,” “Information Science and Library Science,” and “Government Law” are the prioritised research domains in which research on “Fake News” stays a high priority. The highest number of articles are published from the U.S.A. The U.S.A., England, and Germany have the highest collaboration (links) with other countries, and the USA-China collaboration ranks first. Arizona State University is the top-ranked institute with the highest number of articles published on “Fake News,” and “Pennycook G” stays the most productive author. Six hundred ninety funding agencies support the funded research papers with The National Science Foundation N.S.F., U.S.A. as the top sponsor.

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The “Fake-News” Phenomenon and Transformation of Information Strategies in the Digital Society

Cited by 6 publications

References 9 publications

Fake news: a classification proposal and a future research agenda

Fake news: a classification proposal and a future research agenda

Higher Vocational Students’ Innovation and Entrepreneurship Ability Demand Prediction

Fake News Mapping the Fakeness through Scholarly Output Lenses

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