This app helps you find and cheer up the saddest people on Twitter

Excerpt from this article:

A lot of people are probably having a crappy day and are tweeting about just how horrible they are feeling… Using Twitter’s API and MetaMind’s sentiment analysis API, [CheerUpper] culls the social media platform for downer tweets. When you click on the “Cheer someone up!” button, you are given a random, sad tweet to respond to.

And here’s a radio excerpt (audio) about this phenomenon, which is where I first heard about this app.

Editorial note: We will be taking a short break from posting while your digital insights blogger takes some vacation days (so no CheerUppering needed here!). Back after the UK bank holiday weekend with more fun, fascinating content.

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Samaritans Radar analyses Twitter to identify users at risk for suicide

Samaritans Radar is a web app that works across various devices.

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Samaritans Radar launched today as a website that will “flag potentially worrying tweets that you may have missed” once Twitter users register their details.

Developed by digital agency Jam, the service will analyse tweets for phrases and keywords that may indicate someone is at risk for suicide, then email friends registered with Samaritans Radar with advice on how to help.The phrases include “tired of being alone”, “hate myself”, “depressed”, “help me” and “need someone to talk to”, although Samaritans admits that the algorithm is likely to evolve over the coming months, to avoid false positives.

Never mind Facebook bragging, INSTAGRAM is the most depressing social network due to the smug photos we post

A journalist for U.S magazine Slate puts forward the idea that Instagram is the most depressing social network, and is worse than Facebook for people bragging, posting smug photos and creating feelings of jealousy

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Instagram is the most depressing social network and even worse than Facebook, according to a U.S magazine.

Jessica Winter from Slate claims that Instagram takes the parts of Facebook that make people feel depressed and unsatisfied with their lot, such as looking at other people’s photos and friend’s broadcasting how great their lives are, and accentuates them.

This then creates feelings of intense jealousy and also crosses the ‘grey line of stalkerism’.

Selfie-Loathing

Joyful woman in bikini runs to the sea

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The Human–Computer Institute at Carnegie Mellon has found that your “passive consumption” of your friends’ feeds and your own “broadcasts to wider audiences” on Facebook correlate with feelings of loneliness and even depression. Earlier this year, two German universities showed that “passive following” on Facebook triggers states of envy and resentment in many users, with vacation photos standing out as a prime trigger. Yet another study, this one of 425 undergrads in Utah, carried the self-explanatory title “ ‘They Are Happier and Having Better Lives Than I Am’: The Impact of Using Facebook on Perceptions of Others’ Lives.” Even the positive effects of Facebook can be double-edged: Viewing your profile can increase your self-esteem, but it also lowers your ability to ace a serial subtraction task.

Twitter Data Shows When We’re Happy, Sad, Hungover

Hungover

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It’s a Monday in March, and that means Twitter users are likely “hungover” and “late to work.” At least that’s what the data tells us.

Twitter compiled data published Monday that looks at when users tweet certain words and phrases like “feel happy,” “feel sad,” “hungover,” and “late to work.” The data, which is broken down by month and day of the week, looked at tweets in English from 2013 to get a feel for what users are feeling, and when.

The Happiest Countries In The World (On Instagram)

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Jetpac is a clever app that analyzes Instagram photos to create city guides. By identifying markers like how much lipstick people are wearing, or the number of mustaches showing, it rates places as, say, “bars women love” or “hipster hangouts” (a mustache indicating hipsterism in some cities).

Now, Jetpac has turned its technology to happiness. Crunching through 150 million images, and awarding “smile scores” based on the incidence and strength of smiling, it gives us a ranking of the world’s happiest places. You may be surprised by the results.