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Linguistic Detective: Gamified Storyboard for Scam Detection

Author

Listed:
  • Nursyaidatul Kamar Md Shah

    (Academy of Language Studies, Universiti Teknologi MARA, Cawangan Melaka, MALAYSIA)

  • Ameiruel Azwan Ab Aziz

    (Academy of Language Studies, Universiti Teknologi MARA, Cawangan Melaka, MALAYSIA)

  • Ariff Imran Anuar Yatim

    (Academy of Language Studies, Universiti Teknologi MARA, Cawangan Melaka, MALAYSIA)

  • Amirah Mohd Juned

    (Academy of Language Studies, Universiti Teknologi MARA, Cawangan Melaka, MALAYSIA)

  • Wan Farah Wani Wan Fakhruddin

    (Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, MALAYSIA)

Abstract

‘Linguistic Detective: Gamified Storyboard for Scam Detection’ is an innovative project aimed at empowering players to become adept at detecting scammers through language analysis. In today’s digital age, where scams proliferate across various communication channels, understanding the linguistic cues scammers use is essential for safeguarding oneself against scams. The project combines elements of gamification and storytelling to create an immersive experience that educates and entertains players. Players assume the role of a linguistic expert recruited by a cybercrime task force, and the mission is to detect the language of scammers and bring them to justice. The game unfolds through a series of levels, each presenting a different scam scenario for players to dissect. Players must analyse the language scammers use to identify persuasive tactics, emotional manipulation, urgency, and linguistic inconsistencies in investment, e-commerce, and other social media scams. Players develop proficiency in detecting subtle linguistic markers of deception through tutorials, challenges, and tools such as linguistic tips and scam dictionaries. Success in the game translates to real-world vigilance against scams, empowering players to protect themselves and others from falling victim to fraudulent schemes. ‘Linguistic Detective’ provides a dynamic and engaging platform for players and the public to hone their linguistic identifying skills while combating scams in the real world. The project opens avenues for commercialisation, ranging from developing educational materials and consultation services to software solutions, training programs, research partnerships, and public awareness campaigns aimed at detecting scams effectively at all levels.

Suggested Citation

  • Nursyaidatul Kamar Md Shah & Ameiruel Azwan Ab Aziz & Ariff Imran Anuar Yatim & Amirah Mohd Juned & Wan Farah Wani Wan Fakhruddin, 2024. "Linguistic Detective: Gamified Storyboard for Scam Detection," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 708-713, October.
  • Handle: RePEc:bcp:journl:v:8:y:2024:i:10:p:708-713
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    References listed on IDEAS

    as
    1. Aspalella A. Rahman & Ruzita Azmi & Rosylin Mohd Yusof, 2020. "Get-Rich Quick scheme: Malaysian current legal development," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 28(1), pages 49-59, August.
    2. Yoshihiko Kadoya & Mostafa Saidur Rahim Khan & Tomomi Yamane, 2020. "The rising phenomenon of financial scams: evidence from Japan," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 27(2), pages 387-396, January.
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