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Translation Variances across Online Tamil News Platforms in Malaysia

Author

Listed:
  • Gomathi Batumalai

    (Department of Foreign Language, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia)

  • Manimangai Mani

    (Department of Foreign Language, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia)

  • Veeramohan Veeraputhran

    (Department of Foreign Language, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia)

Abstract

This study aims to identify and address translation issues in Malaysian Tamil online news platforms, with a focus on improving accuracy and reducing the spread of misinformation. The study is based on Peter Newmark’s Translation Theory (1988), which provides a framework for analyzing translation accuracy and effectiveness. The research employs a text analysis method to examine translated content from various Malaysian Tamil online news platforms. The findings indicate that many translations on these platforms are inaccurate compared to the source text, leading to the dissemination of false information. The study highlights the challenges faced by translators and emphasizes the need for careful and precise translation to maintain the credibility and impact of news content across different language communities. The study suggests the importance of improving translation practices in media to ensure accurate communication and prevent the spread of misinformation. This research provides valuable insights into the quality of media translations in the context of Malaysian Tamil news platforms, contributing to the broader understanding of translation accuracy in digital media.

Suggested Citation

  • Gomathi Batumalai & Manimangai Mani & Veeramohan Veeraputhran, 2025. "Translation Variances across Online Tamil News Platforms in Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 975-989, February.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:3s:p:975-989
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    References listed on IDEAS

    as
    1. Mumtaz Aini Alivi & Akmar Hayati Ahmad Ghazali & Ezhar Tamam & Mohd Nizam Osman, 2018. "A Review of New Media in Malaysia: Issues Affecting Society," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(2), pages 12-29, February.
    2. Martin Popel & Marketa Tomkova & Jakub Tomek & Łukasz Kaiser & Jakob Uszkoreit & Ondřej Bojar & Zdeněk Žabokrtský, 2020. "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
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