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Analysis of Arabic Language Learning Content on Instagram Media: Analisis Konten Pembelajaran Bahasa Arab pada Media Instagram

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  • Additional Information
    • Publication Information:
      UMSIDA Preprints Server
    • Publication Date:
      2024
    • Abstract:
      The Instagram platform currently offers a wealth of features and content related to learning Arabic, making it an engaging and popular medium in Indonesia, accessible to all for free. This study aims to: 1. Identify patterns in Arabic learning content on Instagram. 2. Determine the most popular types of Arabic learning content among Instagram users. 3. Analyze data on each pattern or type of Arabic learning content on Instagram. Using a qualitative approach and content analysis method, the study focuses on four Instagram creators: @taalum.id, @arabiyahtalks, @bahasaarablughotiy, and @marhaban.academy. The research examines videos related to Arabic learning, alongside follower comments and supporting literature. Researchers found three common types of content: mufradat learning, Arabic expressions, and Arabic grammar. The study concludes that Arabic vocabulary content is the most favored by Instagram users, achieving the highest engagement, and identifies characteristics that make such content easily viral.
    • File Description:
      application/pdf; application/zip
    • Relation:
      https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/41107; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/41108; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/44171; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/44179; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/44181; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/39409; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/44934; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527/39408; https://archive.umsida.ac.id/index.php/archive/preprint/view/5527
    • Accession Number:
      10.21070/ups.5527
    • Online Access:
      https://archive.umsida.ac.id/index.php/archive/preprint/view/5527
      https://doi.org/10.21070/ups.5527
    • Rights:
      Copyright (c) 2024 UMSIDA Preprints Server ; https://creativecommons.org/licenses/by/4.0
    • Accession Number:
      edsbas.16977220