Trends

Trending in Taiwan
on Mar 4, 2025

The most searched Wikipedia pages in Taiwan: discover what people are looking for!

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  1. ZH
    Darren Wang
    new
  2. ZH
    The First Frost
    - 6%
  3. ZH
    2026 World Baseball Classic qualification
    + 3%
  4. ZH
    Khalil Fong
    - 121%
  5. ZH
    C. C. Wei
    new
  6. ZH
    Jingzhe
    + 41%
  7. ZH
    Ling Tao
    new
  8. ZH
    Zhang Ruonan
    - 7%
  9. ZH
    Bai Jingting
    - 5%
  10. ZH
    Ariel Sha
    - 187%
  11. ZH
    The Best Thing
    - 7%
  12. ZH
    Friendly Rivalry
    + 14%
  13. ZH
    Tony Sun
    - 204%
  14. ZH
    TSMC
    new
  15. ZH
    Anora
    - 240%
  16. ZH
    World Baseball Classic
    - 14%
  17. ZH
    Solo Leveling
    - 24%
  18. ZH
    hail
    + 40%
  19. ZH
    2026 World Baseball Classic
    - 7%
  20. ZH
    Mark Liu
    new
  21. ZH
    I Am Married... But!
    - 16%
  22. ZH
    Buried Hearts
    - 16%
  23. ZH
    Angel Han
    - 149%
  24. ZH
    Johanne Liou
    new
  25. COMMONS
    Wiki Loves Folklore 2025
    - 2%
  26. ZH
    Zhang Linghe
    - 9%
  27. ZH
    Hidden Love
    - 7%
  28. ZH
    228 Incident
    - 60%
  29. ZH
    Undercover High School
    - 5%
  30. ZH
    Fiona Sit
    - 54%
  31. ZH
    Simba Tseng
    + 24%
  32. ZH
    Morris Chang
    new
  33. ZH
    Edward Chen
    + 5%
  34. ZH
    Our Times
    new
  35. ZH
    The Brutalist
    - 84%
  36. ZH
    Volodymyr Zelenskyy
    - 47%
  37. ZH
    The Apothecary Diaries
    - 22%
  38. ZH
    Mikey Madison
    - 217%
  39. ZH
    John Chen
    - 9%
  40. ZH
    Monster Hunter Wilds
    - 15%
  41. ZH
    Ne Zha 2
    - 6%
  42. ZH
    Flow
    - 24%
  43. ZH
    Fu Kun-chi
    - 34%
  44. ZH
    Donald Trump
    new
  45. ZH
    Allison Lin
    - 9%
  46. ZH
    Chu Yu-ning
    - 10%
  47. ZH
    Adrien Brody
    - 147%
  48. ZH
    Baháʼí Faith
    - 141%
  49. ZH
    Chen Ting-fei
    new
  50. ZH
    G-Dragon
    new
Those data refers to the most visited pages on Wikipedia from Taiwan on Mar 4, 2025.
The green, red and yellow indicators on each row are based on data from the day before: to get insights about the historical records, click here.
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