| 1 | Iran | 2.39% | |
| 2 | ZimEye | 1.99% | |
| 3 | Israel | 1.99% | |
| 4 | Mnangagwa | 1.2% | |
| 5 | South | 1.2% | |
| 6 | Ukraine | 1.2% | |
| 7 | LIVE | 1.2% | |
| 8 | Currency | 1.2% | |
| 9 | New | 1.2% | |
| 10 | TikTok | 1.2% | |
| 11 | Russia | 1.2% | |
| 12 | DRC | 1.2% | |
| 13 | Chamisa | 1.2% | |
| 14 | ZITF | 1.2% | |
| 15 | Man | 0.8% | |
| 16 | Channel | 0.8% | |
| 17 | Town | 0.8% | |
| 18 | Rwanda | 0.8% | |
| 19 | Zim | 0.8% | |
| 20 | Rank | 0.8% | |
| 21 | Irans | 0.8% | |
| 22 | Structured | 0.8% | |
| 23 | Sydney | 0.8% | |
| 24 | UAE | 0.8% | |
| 25 | Zimbabwe | 0.8% | |
| 26 | Raisi | 0.8% | |
| 27 | Chiwenga | 0.8% | |
| 28 | Girl | 0.8% | |
| 29 | US | 0.8% | |
| 30 | Biden | 0.8% | |
| 31 | UNSC | 0.8% | |
| 32 | Gaza | 0.8% | |
| 33 | RBZ | 0.8% | |
| 34 | Cape | 0.8% | |
| 35 | Wife | 0.8% | |
| 36 | Loan | 0.4% | |
| 37 | S-300 | 0.4% | |
| 38 | Why | 0.4% | |
| 39 | Bulawayo | 0.4% | |
| 40 | Africa’s | 0.4% | |
| 41 | America | 0.4% | |
| 42 | Foreign | 0.4% | |
| 43 | De-Dollarization | 0.4% | |
| 44 | Viral | 0.4% | |
| 45 | Arrests | 0.4% | |
| 46 | Gospel | 0.4% | |
| 47 | Pulls | 0.4% | |
| 48 | Own | 0.4% | |
| 49 | Changers | 0.4% | |
| 50 | State | 0.4% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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