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Title

Typology of unreal text-video information on social media

Pages

  5-27

Abstract

 Typology, alongside media developments, has always been taken into consideration. The advent of the Internet, and in particular the formation of social media, has paved the way for paying further attention to new forms. Given that one of the potentials of social media is to create a platform for dissemination of news and information, both true and false, this paper is an effort to take a step to classify the false artifacts published on social media from a typological perspective. The questions brought up in this writing are whether a collection of false artifacts published on social media can create a particular species? What are the characteristics if such a species is formed? Is it possible to identify such "subspecies" as well? To answer these questions, the research data, which were false (text-video) content published on social media during the period of 2016-19 and confirmed by the WikiHooks authentication website, were analyzed, using rhetorical critique. Findings of this analysis suggest a new species called "unreality" with stylistic and intrinsic characteristics. The stylistic characteristics of this species, based on the sample of research, broadly speaking are shortness, intermediate narration of the event, have a separate text and video with the interrelationship and intrinsic characteristics of this species, lack of accuracy despite their apparent correctness, lack of validation technique at the first encounter. Also, four sub-types of unreality, Unreal news, Unreal entertaining, Unreal art and Unreal transcendent have been identified for this main species

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    APA: Copy

    Ravadrad, َAzam, & Khelghati, Marzieh. (2021). Typology of unreal text-video information on social media. RASANEH, 32(1 ), 5-27. SID. https://sid.ir/paper/954637/en

    Vancouver: Copy

    Ravadrad َAzam, Khelghati Marzieh. Typology of unreal text-video information on social media. RASANEH[Internet]. 2021;32(1 ):5-27. Available from: https://sid.ir/paper/954637/en

    IEEE: Copy

    َAzam Ravadrad, and Marzieh Khelghati, “Typology of unreal text-video information on social media,” RASANEH, vol. 32, no. 1 , pp. 5–27, 2021, [Online]. Available: https://sid.ir/paper/954637/en

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