"For years, before Elon Musk purchased the app, Twitter had struggled to grow its user base, reaching a peak of . Twitter was so frustrated by its stagnant growth that it changed its categorization to "News" on the App Store, instead of "Social Media," in order to avoid negative comparison to Facebook, which had continued to add millions more users every quarter, hurting Twitter's market standing (note: Twitter couldn't switch to "News" on Android because Google restricts apps that are primarily UGC from this segment)."
"Our machine learning algorithms are fed by millions of websites' and apps' first-party analytics, both proprietary and sourced through partners."
Twitter experienced prolonged stagnation in user growth, reaching a peak of . The company changed its App Store categorization from "Social Media" to "News" to avoid unfavorable comparison with Facebook, which continued to add millions of users every quarter and weakened Twitter’s market standing. Android policies prevented the same recategorization because Google restricts apps that are primarily user-generated content from the News segment. Twitter’s machine learning algorithms ingest first-party analytics from millions of websites and apps, combining proprietary datasets and partner-sourced data to train and inform models.
Read at Social Media Today
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