<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-08-27 10:30:00, UNICEF from company unicef tweeted. The tweet was "We’re working with communities, for communities.
 
Tony Byamungu, Health manager, on how we're helping children in the world's second largest Ebola outbreak in DR Congo. <hyperlink>". The most similar tweets were, 
1. On 2019-11-02 00:28:33, IndependentNGR handle of company independent tweeted. The tweet was "WHO, Congo To Tighten Ebola Aftercare Rules <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2020-06-01 12:31:33, IndependentNGR handle of company independent tweeted. The tweet was "New Ebola Outbreak Kills 4 In Congo <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-05-20 09:47:07, IndependentNGR handle of company independent tweeted. The tweet was "Ebola: Traditional Healers Join Doctors To Treat Patients In Sierra Leone <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
