| 1 | Goldstein | 2.6% | |
| 2 | Australia | 2.6% | |
| 3 | Hegseth | 2.6% | |
| 4 | China | 2.6% | |
| 5 | UK | 2.6% | |
| 6 | Trump | 2.6% | |
| 7 | Politics | 2.6% | |
| 8 | Ed | 2.6% | |
| 9 | Dallas | 1.3% | |
| 10 | Fairer | 1.3% | |
| 11 | June | 1.3% | |
| 12 | Sydney | 1.3% | |
| 13 | Kangana | 1.3% | |
| 14 | Adrian | 1.3% | |
| 15 | James | 1.3% | |
| 16 | Keynesianism’ | 1.3% | |
| 17 | Hamilton | 1.3% | |
| 18 | Wednesday | 1.3% | |
| 19 | Russia | 1.3% | |
| 20 | Greater | 1.3% | |
| 21 | Supreme | 1.3% | |
| 22 | Wilson | 1.3% | |
| 23 | SNP | 1.3% | |
| 24 | PM | 1.3% | |
| 25 | Dem | 1.3% | |
| 26 | Lib | 1.3% | |
| 27 | Iowa | 1.3% | |
| 28 | Happy | 1.3% | |
| 29 | Reform | 1.3% | |
| 30 | Ranaut | 1.3% | |
| 31 | WA | 1.3% | |
| 32 | MP | 1.3% | |
| 33 | NBC | 1.3% | |
| 34 | Marles | 1.3% | |
| 35 | Lone | 1.3% | |
| 36 | Star | 1.3% | |
| 37 | Ardern | 1.3% | |
| 38 | Minister’s | 1.3% | |
| 39 | Davey | 1.3% | |
| 40 | GDP; | 1.3% | |
| 41 | GDP | 1.3% | |
| 42 | Cabinet | 1.3% | |
| 43 | Cook | 1.3% | |
| 44 | Albanese | 1.3% | |
| 45 | Musk | 1.3% | |
| 46 | Donald | 1.3% | |
| 47 | Larkhall | 1.3% | |
| 48 | DOGE | 1.3% | |
| 49 | Tory | 1.3% | |
| 50 | ‘Act | 1.3% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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