| Rank | Trending Topic | Tweet Data Analytics | Tweet Volume |
|---|---|---|---|
| 1 | Japan | 853859 | |
| 2 | Neymar | 644936 | |
| 3 | Brazil | 623878 | |
| 4 | Richarlison | 453240 | |
| 5 | England | 286549 | |
| 6 | Vini | 285191 | |
| 7 | Mbappe | 226543 | |
| 8 | Pele | 208182 | |
| 9 | Baba | 145231 | |
| 10 | Senegal | 99952 | |
| 11 | Raphinha | 83010 | |
| 12 | BREAKING NEWS | 75140 | |
| 13 | Bellingham | 67341 | |
| 14 | Smell | 64007 | |
| 15 | #BRAKOR | 61822 | |
| 16 | Modric | 61336 | |
| 17 | Mane | 52188 | |
| 18 | Giroud | 51536 | |
| 19 | Samba | 37416 | |
| 20 | Happy New Week | 29653 | |
| 21 | Dennis | 29018 | |
| 22 | Antony | 26715 | |
| 23 | Henderson | 20605 | |
| 24 | #FraPol | 18897 | |
| 25 | Ruto | 18660 | |
| 26 | Foden | 15178 | |
| 27 | #ENGSEN | 13076 | |
| 28 | Raila | 13030 | |
| 29 | Bukayo Saka | 11263 | |
| 30 | Ombachi | Less than 10k | |
| 31 | #mainaandkingangi | Less than 10k | |
| 32 | #theultimateprogram | Less than 10k | |
| 33 | Onyango | Less than 10k | |
| 34 | Juliana Cherera | Less than 10k | |
| 35 | Machakos University | Less than 10k | |
| 36 | IEBC | Less than 10k | |
| 37 | the lions of teranga | Less than 10k | |
| 38 | Murathe | Less than 10k | |
| 39 | Winnie Odinga | Less than 10k | |
| 40 | menengai 5 | Less than 10k | |
| 41 | Koulibaly | Less than 10k | |
| 42 | KEMSA | Less than 10k | |
| 43 | Mendy | Less than 10k | |
| 44 | Livestock | Less than 10k | |
| 45 | Kamukunji | Less than 10k | |
| 46 | EALA MPs | Less than 10k | |
| 47 | Martha Karua | Less than 10k | |
| 48 | ChatGPT | Less than 10k | |
| 49 | general meakins | Less than 10k | |
| 50 | Kidero | Less than 10k |