Trends

Trending in Italy
on Oct 26, 2023

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

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Image credits: CC BY-SA 4.0 Niccolò Caranti
  1. IT
    Shiva
    new
  2. IT
    murder of Elisa Claps
    - 201%
  3. IT
    Monster
    new
  4. IT
    The Lions of Sicily
    - 9%
  5. IT
    Pietrangelo Buttafuoco
    new
  6. IT
    Douglas Costa
    + 61%
  7. IT
    Gemini Man
    new
  8. IT
    Facebook
    stable
  9. IT
    Israel
    - 8%
  10. IT
    Hamas
    + 2%
  11. IT
    Gaza Strip
    - 3%
  12. IT
    State of Palestine
    - 7%
  13. IT
    Troy
    new
  14. IT
    Josip Iličić
    new
  15. IT
    Massimiliano Varrese
    new
  16. IT
    Beatrice Luzzi
    new
  17. IT
    Francesca Fagnani
    - 33%
  18. IT
    Aileen Wuornos
    new
  19. IT
    Blanca
    new
  20. IT
    Florio
    + 4%
  21. IT
    Killers of the Flower Moon
    - 14%
  22. IT
    Jannik Sinner
    + 17%
  23. IT
    Laura Pausini
    new
  24. IT
    RAI
    - 6%
  25. IT
    Vincenzo Florio
    new
  26. IT
    Palestine
    - 7%
  27. IT
    Israeli–Palestinian conflict
    - 14%
  28. IT
    Lee Curreri
    new
  29. IT
    SSC Napoli
    - 52%
  30. IT
    Melissa Satta
    - 84%
  31. IT
    David Beckham
    - 2%
  32. IT
    Giampiero Mughini
    new
  33. IT
    Martha Argerich
    new
  34. IT
    FK Čukarički
    new
  35. IT
    Achilles
    new
  36. IT
    Halloween
    new
  37. IT
    Saw X
    new
  38. IT
    Giorgia Meloni
    - 18%
  39. IT
    Romelu Lukaku
    new
  40. IT
    Warren Zaïre-Emery
    - 80%
  41. IT
    Per Elisa - Il caso Claps
    - 208%
  42. IT
    Roberta Morise
    new
  43. IT
    Stephan El Shaarawy
    new
  44. IT
    Saw
    new
  45. IT
    Israel–Hamas war
    - 2%
  46. IT
    David Holmes
    new
  47. IT
    Charlize Theron
    new
  48. IT
    Kylian Mbappé
    - 141%
  49. IT
    Italy
    new
  50. IT
    Trojan War
    new
Those data refers to the most visited pages on Wikipedia from Italy on Oct 26, 2023.
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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