<|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 2020-08-09 14:46:47, BBCNews from company bbc tweeted. The tweet was "BBC boss Tony Hall apologises over racial slur in news report <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-04 12:09:35, cnni handle of company cnn tweeted. The tweet was "Lawmakers burst into applause as one UK MP calls on Prime Minister Boris Johnson to apologize for comments he made about Muslim women.

"When will the Prime Minister finally apologise for his derogatory and racist remarks?" <hyperlink> <hyperlink>". This tweet got 1290 number of likes. 
2. On 2019-09-24 09:44:09, Mike_P_Williams handle of company williams tweeted. The tweet was "Breaking: UK Supreme Court tells Boris to fuck right off <hyperlink>". This tweet got 428 number of likes. 
3. On 2018-01-12 14:30:05, CNN handle of company cnn tweeted. The tweet was ""I'm sorry, but there's no other word one can use but racist": The world reacts to President Trump's 'shithole countries' comment <hyperlink> <hyperlink>". This tweet got 786 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
