<|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 2018-01-23 10:16:31, AirbnbPolicy from company airbnb tweeted. The tweet was "How guests spend across these local neighbourhoods is directly impacting Ireland’s economy and the local communities where these guests stay. <hyperlink>". The most similar tweets were, 
1. On 2020-04-10 00:48:33, IndependentNGR handle of company independent tweeted. The tweet was "Airbnb Restricts Bookings On Its Platform In Britain <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-08-21 16:02:54, TheAAie handle of company aa tweeted. The tweet was "Unsure about how your travel plans could be affected by <mention>'s visit to Ireland this weekend? Check out our guide to everything you need to know here: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-04-07 15:30:16, HywelPlaidCymru handle of company williams tweeted. The tweet was "I have written to <mention> on behalf of <mention> seeking firm guarantee that they will now in no way promote or enable the movement of visitors to #Wales. 
 
AirBnB owners flouting the law should also be permanently excluded from their services. #StayHomeSaveLives <hyperlink>". This tweet got 183 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
