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Analysis of Digital Data on Social Network TikTok During COVID-19

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Intelligent Sustainable Systems (ICoISS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 665))

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Abstract

TikTok has been one of the fastest-growing social networks in recent years. It has more than 1 billion active users so far. In that context, this study aims to answer the following research question: What is the trend of studies on the social network TikTok during COVID-19? Information was collected through systematic review (SR) and the PRISMA method. Seventeen articles were selected from the Scopus database. The information was analyzed and divided into four categories. The results indicate that, in general, TikTok is a platform that is not only used for entertainment but also as a study tool and information resource. However, mass production and poor control put content reliability at risk and challenge producers, users, and researchers interested in this social network.

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Authors and Affiliations

  1. Universidad Privada del Norte, Lima, Peru

    Andrea Maricielo Malca-Liza, Angelo Aldahir Solano-García, Adriana Margarita Turriate-Guzman & Luis-Rolando Alarcón-Llontop

Authors
  1. Andrea Maricielo Malca-Liza
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  2. Angelo Aldahir Solano-García
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  3. Adriana Margarita Turriate-Guzman
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  4. Luis-Rolando Alarcón-Llontop
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Corresponding author

Correspondence to Adriana Margarita Turriate-Guzman .

Editor information

Editors and Affiliations

  1. Gnanamani College of Engineering and Technology, Namakkal, Tamil Nadu, India

    Jennifer S. Raj

  2. Department of Computer Engineering and Informatics, University of Patras, Kato Kastritsi, Greece

    Isidoros Perikos

  3. Aurel Vlaicu, University of Arad, Arad, Romania

    Valentina Emilia Balas

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Malca-Liza, A.M., Solano-García, A.A., Turriate-Guzman, A.M., Alarcón-Llontop, LR. (2023). Analysis of Digital Data on Social Network TikTok During COVID-19. In: Raj, J.S., Perikos, I., Balas, V.E. (eds) Intelligent Sustainable Systems. ICoISS 2023. Lecture Notes in Networks and Systems, vol 665. Springer, Singapore. https://doi.org/10.1007/978-981-99-1726-6_15

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