<|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 2018-12-29 20:30:08, CNN from company cnn tweeted. The tweet was "An Oregon hotel fires two employees after they asked a black guest to leave while he was taking a phone call with his mother in the lobby <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-12-29 17:45:05, CNN handle of company cnn tweeted. The tweet was "An Oregon hotel fires two employees after they asked a black guest to leave while he was taking a phone call with his mother in the lobby <hyperlink> <hyperlink>". This tweet got 969 number of likes. 
2. On 2018-07-05 02:52:50, CNN handle of company cnn tweeted. The tweet was "An Alabama restaurant refused in February to rent an event space to members of a predominantly black fraternity, telling them "we've had problems with your kind before," according to a lawsuit and the fraternity chapter president <hyperlink> <hyperlink>". This tweet got 565 number of likes. 
3. On 2019-08-06 07:48:05, CNN handle of company cnn tweeted. The tweet was "A Walmart employee and a customer helped 140 people escape from the El Paso shooting <hyperlink> <hyperlink>". This tweet got 664 number of likr 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
570<|im_end|>
