<|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 2020-03-16 11:14:47, BBCWorld from company bbc tweeted. The tweet was "Venice resident Marianna shows us around her city that has been transformed by the coronavirus shutdown in Italy

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-20 21:24:53, IWF handle of company independent tweeted. The tweet was "Good news out of Italy 👏👏👏

First coronavirus patient in Italy's Modena to recover is a 95-year-old grandma <hyperlink>

#StopTheSpread #StayHome #GoodNews <hyperlink>". This tweet got 72 number of likes. 
2. On 2020-03-24 18:35:00, Independent handle of company independent tweeted. The tweet was "'We will send police. With flamethrowers': Italy's mayors rage at residents ignoring coronavirus lockdown <hyperlink>". This tweet got 52 number of likes. 
3. On 2020-03-08 04:50:24, cnnbrk handle of company cnn tweeted. The tweet was "Italian Prime Minister has signed a decree that will put most of northern Italy under lockdown because of the coronavirus outbreak <hyperlink> <hyperlink>". This tweet got 826 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
