<|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 2020-11-01 10:34:45, BBCAfrica from company bbc tweeted. The tweet was "This small town in the USA has welcomed thousands of refugees for 50 years. Some of the African migrants here say racism is one of the biggest problems they face. 

And for some of them, this year’s election will be the first time they can vote. <hyperlink>". The most similar tweets were, 
1. On 2018-01-01 21:08:02, AmerIndependent handle of company independent tweeted. The tweet was "#ResistanceHighlights: In stunning rebuke of Trump, Montana elects Liberian refugee as state’s first black mayor 
<hyperlink> <hyperlink>". This tweet got 105 number of likes. 
2. On 2018-01-01 13:53:02, AmerIndependent handle of company independent tweeted. The tweet was "#ResistanceHighlights: In stunning Trump rebuke, Montana elects Liberian refugee as state’s first black mayor 

<hyperlink> <hyperlink>". This tweet got 105 number of likes. 
3. On 2018-01-01 04:24:02, AmerIndependent handle of company independent tweeted. The tweet was "#ResistanceHighlights: In stunning Trump rebuke, Montana elects Liberian refugee as state’s first black mayor 
<hyperlink> <hyperlink>". This tweet got 68 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
