<|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 2020-10-27 16:52:38, BBCWorld from company bbc tweeted. The tweet was "Police and protesters have clashed across Italy over new restrictions to curb a second wave of Covid

Windows were smashed at shops in Turin, and petrol bombs thrown at officers

<hyperlink> <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2020-05-16 10:35:04, IndependentNGR handle of company independent tweeted. The tweet was "Italy To Lift COVID-19 Travel Ban From June 3 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-04-24 16:56:51, IndependentNGR handle of company independent tweeted. The tweet was "Italy Records Huge Drop In New COVID-19 Cases, Deaths <hyperlink> <hyperlink>". This tweet got 1 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
