| 1 | Ukraine | 3.7% | |
| 2 | Good | 3.7% | |
| 3 | Genocide | 1.85% | |
| 4 | Opposing | 1.85% | |
| 5 | Watch | 1.85% | |
| 6 | NPA | 1.85% | |
| 7 | Mtolo | 1.85% | |
| 8 | McConnell | 1.85% | |
| 9 | Carlson | 1.85% | |
| 10 | Senate | 1.85% | |
| 11 | Ramaphosas | 1.85% | |
| 12 | Gupta | 1.85% | |
| 13 | New | 1.85% | |
| 14 | Nelson | 1.85% | |
| 15 | Africans | 1.85% | |
| 16 | Wenzeni | 1.85% | |
| 17 | WATCH | 1.85% | |
| 18 | LIVE | 1.85% | |
| 19 | PM | 1.85% | |
| 20 | KZN | 1.85% | |
| 21 | Israel | 1.85% | |
| 22 | MP | 1.85% | |
| 23 | Lee | 1.85% | |
| 24 | uZuma? | 1.85% | |
| 25 | Odisha | 1.85% | |
| 26 | Field | 1.85% | |
| 27 | Frank | 1.85% | |
| 28 | Cyril | 1.85% | |
| 29 | Southampton | 1.85% | |
| 30 | Mandelas | 1.85% | |
| 31 | Tucker | 1.85% | |
| 32 | China | 1.85% | |
| 33 | Fix | 1.85% | |
| 34 | Trump | 1.85% | |
| 35 | Niger | 1.85% | |
| 36 | Washington | 1.85% | |
| 37 | Maimane’s | 1.85% | |
| 38 | US | 1.85% | |
| 39 | Proves | 1.85% | |
| 40 | He | 1.85% | |
| 41 | Labour | 1.85% | |
| 42 | South | 1.85% | |
| 43 | Politics | 1.85% | |
| 44 | That | 1.85% | |
| 45 | Mitch | 1.85% | |
| 46 | Summer | 1.85% | |
| 47 | Post | 1.85% | |
| 48 | Bosa | 1.85% | |
| 49 | Bheki | 1.85% | |
| 50 | Policy | 1.85% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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