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Read 2025 year report. Millions of articles published yearly mentioning public figures. We publish an exclusive yearly report for you!
Newspapers are talking about Patricia de Lille, Malusi Gigaba, Cyril Ramaphosa and others.
Patricia de Lille

1. Patricia de Lille

Top newspapers talking about Patricia de Lille

Patricia de Lille (née Lindt; born 17 February 1951) is a South African politician who is the current Minister of Tourism and leader of the political party Good. She served as Minister of Public Works and Infrastructure from 2019 to 2023. Wikipedia

Patricia De Lille will cease to be Cape Town's Mayor from 7pm tonight
ENCA · about 7 years
Patricia De Lille will cease to be Cape Town's Mayor from 7pm tonight
Tonight with Jane Dutton Mazzone on De Lille’s resignation 31 October 2018
ENCA · about 7 years
Tonight with Jane Dutton Mazzone on De Lille’s resignation 31 October 2018
News24.com Madikizela hits back at De Lille 'Her relationship with the DA ended a long time ago'
News24 · about 7 years · 2
Bowmans was colluding with politicians – Patricia de Lille
EWN · about 7 years
De Lille on resignation
ENCA · about 7 years
De Lille on resignation

News count in South Africa

News number everyday from October 01 and for about 1 month
  • 0
    Post
  • 611
    Tweet
  • 60
    Video
  • 342
    Article
Malusi Gigaba
2. Malusi Gigaba
Cyril Ramaphosa
3. Cyril Ramaphosa
Donald Trump
4. Donald Trump
Solomon Mahlangu
5. Solomon Mahlangu
Qedani Mahlangu
6. Qedani Mahlangu
An Na
7. An Na
Heavy D
8. Heavy D
Woman A
9. Woman A
Tony Leon
10. Tony Leon
Angela Merkel
11. Angela Merkel
Tarō Asō
12. Tarō Asō
Duane Vermeulen
13. Duane Vermeulen
Narendra Modi
14. Narendra Modi
Theresa May
15. Theresa May
Mmusi Maimane
16. Mmusi Maimane
He Min
17. He Min
Riek Machar
18. Riek Machar
Natalie Portman
19. Natalie Portman
Kevin Anderson
20. Kevin Anderson
Malcolm Marx
21. Malcolm Marx
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who is popular today © 2026
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Who is popular today, a project that regularly archives news and public figures from the Wikipedia, then links current events with public figures, and then comes the statistics, information extraction and patterns recognision. The project aims primarily at analyzing news to extract information and linking it more favorably to the reader, instead of reading the news randomly. The other goal is to archive news as profiles for public figures, making them a permanent reference for researchers. The project depends on some of the links between the unstructured texts (news) and entities (people) through the analysis of text and the approach with the names of public figures, in addition to some of the process of identifying the images of the characters through the news in which it was mentioned.