In its latest dystopian innovation, Facebook has decided it would like to surreptitiously spy on people through their cameras, employing contentious facial recognition technology to analyze their emotions — in essence, this amounts to reading a person’s mind.
A recently-resurfaced patent filed by Facebook previously evinces the social media platform’s remarkably Orwellian goal of reading users’ emotions upon encountering various content — information which would then be used to tailor material for relevance to a person’s mood.
Flatly called “Techniques for emotion detection and content delivery,” the patent — filed in November 2015 and rediscovered by New York-based marketing intelligence firm, CB Insights, upon its granting on May 25, 2017 — “would automatically add emotional information to text messages, predicting the user’s emotion based on methods of keyboard input.
“The visual format of the text message would adapt in real time based on the user’s predicted emotion. As the patent notes (and as many people have likely experienced), it can be hard to convey mood and intended meaning in a text-only message; this system would aim to reduce misunderstandings.
Read Entire Article »
A recently-resurfaced patent filed by Facebook previously evinces the social media platform’s remarkably Orwellian goal of reading users’ emotions upon encountering various content — information which would then be used to tailor material for relevance to a person’s mood.
Flatly called “Techniques for emotion detection and content delivery,” the patent — filed in November 2015 and rediscovered by New York-based marketing intelligence firm, CB Insights, upon its granting on May 25, 2017 — “would automatically add emotional information to text messages, predicting the user’s emotion based on methods of keyboard input.
“The visual format of the text message would adapt in real time based on the user’s predicted emotion. As the patent notes (and as many people have likely experienced), it can be hard to convey mood and intended meaning in a text-only message; this system would aim to reduce misunderstandings.
Read Entire Article »
