| 1 | Trump | 10.81% | |
| 2 | Ram’s | 2.7% | |
| 3 | Max | 2.7% | |
| 4 | Palaszczuk | 2.7% | |
| 5 | Reel | 2.7% | |
| 6 | Rayner | 2.7% | |
| 7 | Tower | 2.7% | |
| 8 | White | 2.7% | |
| 9 | Worry | 2.7% | |
| 10 | Mythology | 2.7% | |
| 11 | MP | 2.7% | |
| 12 | Lesson | 2.7% | |
| 13 | Peckers | 2.7% | |
| 14 | Albanese’s | 2.7% | |
| 15 | House? | 2.7% | |
| 16 | Rally | 2.7% | |
| 17 | Annastacia | 2.7% | |
| 18 | Power | 2.7% | |
| 19 | Don’t | 2.7% | |
| 20 | Real | 2.7% | |
| 21 | April | 2.7% | |
| 22 | ‘A | 2.7% | |
| 23 | Minister | 2.7% | |
| 24 | UK’s | 2.7% | |
| 25 | Palaszczuk’s | 2.7% | |
| 26 | Angela | 2.7% | |
| 27 | Nato | 2.7% | |
| 28 | Maldives’ | 2.7% | |
| 29 | Trial | 2.7% | |
| 30 | US | 2.7% | |
| 31 | Politics | 2.7% | |
| 32 | Testimony | 2.7% | |
| 33 | pro-China | 2.7% | |
| 34 | Markson | 2.7% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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