Trends

Trending in Italy
on Nov 14, 2024

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

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  1. IT
    Claudio Ranieri
    - 51%
  2. IT
    Elon Musk
    - 17%
  3. IT
    Nicolò Rovella
    new
  4. IT
    Domenico Tedesco
    new
  5. IT
    Jannik Sinner
    + 45%
  6. IT
    Daniil Medvedev
    new
  7. IT
    Gladiator II
    + 48%
  8. IT
    Jake Paul
    + 46%
  9. IT
    ATP Finals
    + 17%
  10. IT
    Heysel Stadium disaster
    new
  11. IT
    Mike Tyson
    + 48%
  12. IT
    UEFA Nations League
    new
  13. IT
    Spinning Man
    new
  14. IT
    Murder on the Orient Express
    new
  15. IT
    Moise Kean
    new
  16. IT
    Juror No. 2
    + 36%
  17. IT
    Donald Trump
    - 6%
  18. IT
    Ilie Năstase
    new
  19. IT
    Parthenope
    - 36%
  20. IT
    Alessia Fabiani
    new
  21. IT
    Franco Ferrarotti
    - 32%
  22. IT
    King Baudouin Stadium
    new
  23. IT
    Destiny Udogie
    new
  24. IT
    883
    - 15%
  25. IT
    Gladiator
    new
  26. IT
    Sandro Tonali
    new
  27. EN
    ChatGPT
    new
  28. IT
    Carlos Acosta
    new
  29. IT
    2024–25 UEFA Nations League
    new
  30. IT
    Max Pezzali
    + 11%
  31. IT
    Alex Baroni
    new
  32. IT
    My Brilliant Friend
    - 69%
  33. IT
    A.S. Roma
    - 32%
  34. IT
    Adriano
    new
  35. IT
    Interstellar
    - 29%
  36. IT
    Matt Gaetz
    new
  37. IT
    RAI
    new
  38. IT
    Achille Lauro
    new
  39. EN
    Jake Paul vs. Mike Tyson
    new
  40. IT
    Caravaggio
    - 217%
  41. IT
    The Substance
    - 27%
  42. IT
    Lidia Poët
    - 12%
  43. IT
    ChatGPT
    new
  44. IT
    This Is Not Hollywood - Avetrana
    - 10%
  45. IT
    Mauro Repetto
    - 10%
  46. IT
    Romelu Lukaku
    new
  47. IT
    Raffaele Fitto
    - 8%
  48. IT
    Marco Giampaolo
    new
  49. IT
    Alessandro Buongiorno
    new
  50. IT
    woke
    new
Those data refers to the most visited pages on Wikipedia from Italy on Nov 14, 2024.
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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