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Social media affects sleep, so you might want to avoid any late night browsing of your accounts.

According to a broad study, social media affects sleep. So if you’re one of those persons that pick up the phone and starts browsing various news feeds in order to get sleepy, you should reconsider your night time online activities.

A post-doc researcher, Jessica Levinson, conducted a broad study that concluded that social media affects sleep. According to her paper, almost thirty percent of constant social networks users experience difficulty when trying to sleep.

In order to reach these conclusions, Levinson, and her team created a questionnaire. They then asked approximately 1,700 individuals aged 17 to 32 to respond to its questions. The primary focus of the survey was the number of social media platforms the users were frequently visiting, the average amount they spent on each platform, the amount of physical exercise they engaged in and the quality of sleep they were getting.

The survey was conducted on eleven of the most popular social media websites like Tumblr, Facebook, Twitter, YouTube, Instagram, Google Plus, Reddit, Snapchat, LinkedIn, Pinterest, and Vine. The average time that participants spent on an account daily was 61 minutes. They also visited their individual accounts roughly 31 times per week.

According to Levinson, this is the first broad study to determine that social media affects sleep patterns. The good news is that the virtual media aficionados who preferred to keep their phones in their pockets and alternate the online world with the real one had more chances of getting a resting snooze at the end of the day than those who regularly checked their accounts for notifications.

Furthermore, the participants that spent more time than the average 60 minutes a day browsing their social networks accounts had 50 percent more chances of experiencing difficulties falling asleep and getting insufficient rest at night.

While your Facebook account keeps you in contact with your long-lost friends, your Twitter always lets you find out all the latest celebrity feuds and updates, your LinkedIn enables you to develop your business image and Reddit fills your need for having fun, social media affects your sleep.

The post-doctoral student is advising all individuals with social media accounts to avoid spending time on the virtual platforms before going to bed. She also urges people to switch their smartphones on “silent” mode whenever they have the opportunity and enjoy the outdoors as often as they get a chance.

Social media affects sleep, but exercising helps you combat the effects of too much news feed browsing. The secret is keeping the two activities balanced.

Image source: Pixabay

"Tweet Machine Knows When You’re Plastered "

A team of computer scientists from the University of Rochester developed an algorithm that can tell if you’re drunk when you write a Twitter post.

Ever wondered what scientists do on their off days? They create computer algorithms that can tell if you’re drunk while posting stuff on Twitter or Facebook. Apparently, the machine is so far off, that it can predict with an 80 percent accuracy you’re location and how drunk you are based on your text.

Leaving the joke aside, a team of scientists from the University of Rochester managed to shift the boundary of understanding deep-learning machines. Recently, the said team developed a highly sophisticated computerized algorithm that can predict with an uncanny accuracy your level of inebriation based on your social media posts.

If you’re wondering how those boys found out about the extra keg of beer you’re keeping under the couch in case your ex shows up, well things are quite tricky.

According to their statement, it seems that the first step they took in order translate a drunk tweet in machine language was to find some drunk Tweeters. Using geotags, the team tracked down several Tweets to New York City and Monroe County.

So, how did they figure the difference between a Tweet post written by someone who was sober, and a Tweet written by someone who was totally plastered? Quite simple. They’ve looked for words attributed to alcohol-related experience such as “party”, “keg”, “alcohol” or “drunk”.

After the first phase was over, the research team asked the help of Amazon’s Mechanical Turk in order to analyze more than 10.000 alcohol-related Tweets.

What were the results of their endeavor?

The in-depth analysis helped the computer to differentiate between a person posting about alcohol and a person who was drunk while tweeting. Thus, the team was able to find out that most of the so-called drunk tweets were coming from homes rather than pubs.

In the end, the team subjected their algorithm to a little test. Given a series of tweets, the computer had to find out if the person tweeting was drunk, and where they were posting from.

To their surprise, they’ve discovered that most drunken tweets originated from New York City, and most of the people sending messaged after having too much to drink were actually tweeting from home.

However, the scientists also added that the algorithm does not prove that New Yorkers drink more than other than the inhabitants of other cities. The goal of the project was to study how the inebriation process looks like from an online perspective and how social media pressure can affect one’s drinking habits.

So, next time you’re drunk, and you decide to post something utterly useless on Twitter, remember there might be someone at the end of the line laughing out loud.

Photo credits:deviantart

Tweet Machine Knows When You’re Drunk

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