IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025i3sp975-989.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-3s/975-989.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/translation-variances-across-online-tamil-news-platforms-in-malaysia/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dandan Qiao & Huaxia Rui & Qian Xiong, 2023. "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers 2312.04180, arXiv.org, revised Aug 2024.
    2. Yang, Ying & Zhang, Wei & Lin, Hongyi & Liu, Yang & Qu, Xiaobo, 2024. "Applying masked language model for transport mode choice behavior prediction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    3. Guo, Zixi & Zhao, Jinzhou & You, Zhenjiang & Li, Yongming & Zhang, Shu & Chen, Yiyu, 2021. "Prediction of coalbed methane production based on deep learning," Energy, Elsevier, vol. 230(C).
    4. Liu, Bokai & Wang, Yizheng & Rabczuk, Timon & Olofsson, Thomas & Lu, Weizhuo, 2024. "Multi-scale modeling in thermal conductivity of Polyurethane incorporated with Phase Change Materials using Physics-Informed Neural Networks," Renewable Energy, Elsevier, vol. 220(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:i:3s:p:975-989. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.