<|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 2020-04-12 19:44:00, BBCNews from company bbc tweeted. The tweet was "Stop, and think: Here’s how you can help stop fake news about coronavirus spreading 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-08 06:57:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Combat #FakeNews about #coronavirus on social media, stick to trusted and verified sources of information via <mention> <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2020-07-29 11:55:08, cnnphilippines handle of company cnn tweeted. The tweet was "Vice President <mention> calls for urgent government action to contain spread of coronavirus. <hyperlink> <hyperlink>". This tweet got 695 number of likes. 
3. On 2020-03-02 12:05:18, CNN handle of company cnn tweeted. The tweet was "CNN's <mention> has a brand new podcast, “Coronavirus: Fact vs Fiction,” where he makes sense of the headlines, speaks with experts, and gives you the information you need to stay safe and healthy.

Subscribe and listen now: <hyperlink> <hyperlink>". This tweet got 922 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
