Facebook celebrated LGBT Pride Month by introducing Rainbow Emoji
12 million people are a part of 76,000 Facebook Groups in support of the LGBTQ community
Facebook added Pride-themed frames and wished users “Happy Pride” on their News Feeds
June 11, 2017: Facebook has introduced a rainbow emoji to honour the LGBT Pride Month — celebrated every year in June — and show support to their community and cause.
“As Pride celebrations begin around the world, Facebook is proud to support our diverse community, including those that have identified themselves on Facebook as gay, lesbian, bi-sexual, transgender or gender non-conforming,” the company said in a press release.
Over 12 million people across the globe are part of one of the 76,000 Facebook Groups in support of the LGBTQ community.
Despite facing flak for leakage of personal data of millions of its users in recent times, Facebook is seeking to patent a software that could help it build profile of an user’s household – the number of people in the household, the interests that they share, nature of their relationships or even the devices that they use.
The software, which could be used to target ads, would analyse images posted to Facebook or Instagram, The Los Angeles Times reported on Friday.
An online system that predicts household features of a user — household size and demographic composition — provides improved and targeted content delivery to the user and the user’s household, according to the patent application.
To help determine whether people live in the same home, the software could look at how often people are tagged in pictures together and at the captions of the photos, it said.
“Without such knowledge of a user’s household features, most of content items that are sent to the user are poorly tailored to the user and are likely ignored,” said the patent application, which was filed last year and made public on Thursday.
Facebook could also incorporate “past posts, status updates, friendships, messaging history, past tagging history” and web browsing history to put together a profile of a household or family, the report added.
The proposed online system seeks to apply one or more models trained using deep learning techniques to generate the predictions.
“For example, a trained image analysis model identifies each individual depicted in the photos of the user; a trained text analysis model derive household member relationship information from the user’s profile data and tags associated with the photos,” stated the application.