In a study, researchers developed a social

emotion mining computer model that one day could be used to better predict people's emotional reactions to Facebook posts, said Jason Zhang, a research assistant in Penn State's College of Information Sciences and Technology. While Facebook once featured only one official emoticon reaction—the like button—the  site added five more buttons—love, haha, wow, sad and angry—in early 2016.
"We want to understand the user's reactions behind these clicks on the emoticons by modeling the problem as the ranking problem—given a Facebook post, can an algorithm predict the right ordering among six emoticons in terms of votes?" said Zhang. "But, what we found out was that existing solutions predict the user's emotions and their rankings poorly in some times."