This page features an article from The Atlantic titled 'Be Better at Twitter: The Definitive, Data-Driven Guide.' The article discusses a study conducted by researchers from Carnegie Mellon, MIT, and Georgia Tech to analyze 43,000 Twitter responses to understand what users like or dislike in tweets. The main conclusion is that tweets should not be overly long, contain stale information, overuse hashtags, be excessively personal, mundane, or whiny, advising users to avoid "sandwich tweets" – people generally don't care about others' food habits.
Be Better at Twitter: The Definitive, Data-Driven Guide - Megan Garber - Technology - The Atlantic