Mood analysis

In October 2018, researcher Johannes Eichstaedt led a project to study how the words people use on social media reflect their underlying psychological state. Working with 1,200 patients at a Philadelphia emergency department, 114 of whom had a depression diagnosis, Eichstaedt's group studied their

In 2017, Britain's' two biggest supermarkets, Tesco and Sainsbury's, which jointly cover 45% of the UK's grocery market, announced they would offer discounts on car and home insurance based on customers' shopping habits. For example, based on data from its Nectar card loyalty scheme, Sainsbury's

In March 2018 the Palo Alto startup Mindstrong Health, founded by three doctors, began clinical tests of an app that uses patients' interactions with their smartphones to monitor their mental state. The app, which is being tested on people with serious illness, measures the way patients swipe, tap

In a 2018 interview, the Stanford professor of organisational behaviour Michal Kosinski discussed his research, which included a controversial and widely debunked 2017 study claiming that his algorithms could distinguish gay and straight faces; a 2013 study of 58,000 people that explored the

In 2018, the British army used paid Facebook messages to target 16-year-olds around the day GCSE results were announced to suggest that an army career might still be open to them if their grades were sub-par. The move was criticised for targeting teenagers at their most vulnerable and stressed

Nearly 700,000 Facebook users were subjects of a research study where researchers changed randomly selected users' newsfeeds to be more positive or negative to study whether those users then displayed a more positive or negative affect in response. The experiment showed the power of Facebook's control over the News Feed and the algorithms that determine which of the possible pieces of content shows up at the top at any given moment.

In 2016, Facebook and its photo-sharing subsidiary Instagram rolled out a new reporting tool that lets users anonymously flag posts that suggest friends are threatening self-harm or suicide. The act of flagging the post triggers a message from Instagram to the user in question offering support

Recruiters are beginning to incorporate emotional recognition technology into the processes they use for assessing video-based job applications. Human, a London-based start-up, claims its algorithms can match the subliminal facial expressions of prospective candidates to personality traits. It then

In 2018, pending agreement from its Institutional Review Board, the University of St Thomas in Minnesota will trial sentiment analysis software in the classroom in order to test the software, which relies on analysing the expressions on students' faces captured by a high-resolution webcam

In February 2018 the Canadian government announced a three-month pilot partnership with the artificial intelligence company Advanced Symbolics to monitor social media posts with a view to predicting rises in regional suicide risk. Advanced Symbolics will look for trends by analysing posts from 160

In 2014, the UK suicide prevention group The Samaritans launched Radar, a Twitter-based service intended to leverage the social graph to identify people showing signs of suicidal intent on social media and alert their friends to reach out to offer them help. The app was quickly taken offline after

"To the 53 people who’ve watched A Christmas Prince every day for the past 18 days: Who hurt you?" Netflix tweeted in December 2017. While the tweet did not contain any information that could have identified any of the 53 people, it still made many of those who saw it uncomfortable. A Christmas

Scientists at MIT have created an algorithm called "EQ Radio" that detects and measures individual heartbeats and therefore individuals' emotions by bouncing radio frequency signals - such as ordinary wifi- off of people. The algorithm works the same as an electrocardiogram but needs no leads to be

By 2016, a logical direction for data-driven personalisation efforts to go was toward the "Internet of Emotions": equipping devices with facial, vocal, and biometric sensors that use affective computing to analyse and influence the feelings of device owners. Of particular concern is the potential

In 2016, researchers at MIT's Computer Science and Artificial Intelligence Laboratory developed a new device that uses wireless signals that measure heartbeats by bouncing off a person's body. The researchers claim that this system is 87% accurate in recognising joy, pleasure, sadness, or anger

According to the US security firm Statfor the Chinese government has been builsing a system to analyse the massive amounts of data it has been collecting over the past years. The company claims: "The new grid management system aims to help the Chinese government act early to contain social unrest