<|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 2019-03-31 17:18:53, SABCNews from company sabc tweeted. The tweet was "#TheBigDebate: How can one get away with #corruption <hyperlink>". The most similar tweets were, 
1. On 2020-04-12 18:20:47, SABCNews handle of company sabc tweeted. The tweet was "Fake, fake, fake... remember you can go to jail / fined for fake news. <hyperlink>". This tweet got 2093 number of likes. 
2. On 2018-03-01 13:41:32, sabcinfolib handle of company sabc tweeted. The tweet was "We got #NewBooks   <mention> #ThePresidentsKeepers  <mention> <mention> <mention> 😍📚 <hyperlink>". This tweet got 125 number of likes. 
3. On 2020-11-05 05:10:55, SABCNews handle of company sabc tweeted. The tweet was "#USElection2020 | Results update <hyperlink> #Elections2020 #SABCNews <hyperlink>". This tweet got 131 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
99<|im_end|>
