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In 2007, Facebook launched Facebook Pages for brands and celebrities to interact with their fanbases. [ 48 ] [ 49 ] 100,000 Pages [ further explanation needed ] launched in November. [ 50 ] In June 2009, Facebook introduced a "Usernames" feature, allowing users to choose a unique nickname used in the URL for their personal profile, for easier ...
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This article contains a list of the top 50 accounts with the largest number of followers on the social media platform Facebook. [1] [2] As of March 2024, the most-followed page is Facebook App's page with more than 188 million. The most-followed person is Portuguese footballer Cristiano Ronaldo, with over 170 million followers as of March 2024.
Meta Platforms, Inc., [10] doing business as Meta, [11] and formerly named Facebook, Inc., and TheFacebook, Inc., [12] [13] is an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates Facebook, Instagram, Threads, and WhatsApp, among other products and services. [14]
Facebook allows users to upload photos, and to add them to albums. In December 2010, the company enabled facial recognition technology, helping users identify people to tag in uploaded photos. [91] In May 2011, Facebook launched a feature to tag specific Facebook pages in photos, including brands, products, and companies. [92]
The site also makes it easier for Facebook to differentiate between accounts that have been caught up in a botnet and those that legitimately access Facebook through Tor. [6] As of its 2014 release, the site was still in early stages, with much work remaining to polish the code for Tor access.
A user viewing the British Armed Forces Facebook page. A brand page (also known as a page or fan page), in online social networking parlance, is a profile on a social networking website which is considered distinct from an actual user profile in that it is created and managed by at least one other registered user as a representation of a non-personal online identity.
Facebook announces algorithm changes that penalize "clickbait" titles, based on a score assigned by a machine-learned model. The model is trained based on cases where users like a link, click it, and then immediately bounce and unlike pages. The algorithm is applied both at the web domain level and at the Facebook page level. [561] [562] [563] 2016