FaceBook researchers analyzed over 3 million posts containing over - TopicsExpress

FaceBook researchers analyzed over 3 million posts containing over 122 million words and used an algorithm to characterize the language as positive or negative. Facebook’s data team then adjusted the amount of positive or negative Facebook language users were exposed to on their News Feeds to see how they would react..... and ...found that when users were exposed to fewer positive posts, they would themselves produce fewer positive posts and more negative posts. The reverse was true when they were exposed to fewer negative posts.

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