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Instagram CEO Kevin Systrom on Free Speech, Artificial Intelligence, and Internet Addiction.

WIRED

It was a long conversation, but here is a 20-minute overview in which Systrom talks about the artificial intelligence Instagram has been developing to filter out toxic comments before you even see them. NT: These are the comments: "Succ," "Succ," "Succ me," "Succ," "Can you make Instagram have auto-scroll feature? And what we realized was there was this giant wave of machine learning and artificial intelligence--and Facebook had developed this thing that basically--it's called deep text NT: Which launches in June of 2016, so it's right there. And then you say, "Okay, machine, go and rate these comments for us based on the training set," and then we see how well it does and we tweak it over time, and now we're at a point where basically this machine learning can detect a bad comment or a mean comment with amazing accuracy--basically a 1 percent false positive rate.


How AI became Instagram's weapon of choice in the war on cyberbullying

#artificialintelligence

But instead of putting the responsibility on their users to report abuse, as Facebook and Twitter have done, Instagram is the first social media outlet to use machine learning to eliminate abusive language on its platform. To address cyberbullying head-on, Instagram recently announced a new strategy: Integrating a machine learning algorithm to detect and block potential bullies on its platform. "Machine learning algorithms have proven to be effective ways to detect hate speech and cyberbullying," said Tom Davidson, graduate student at Cornell University and coauthor of reports on hate speech and cyberbullying on social media, focusing on Twitter. Zeerak Waseem, Ph.D. student at the University of Sheffield focusing on abusive language detection and hate speech on Twitter, told TechRepublic that "these attempts are lacking in effect."


Picture of Mental Health? What Your Instagram Photos Reveal About You

#artificialintelligence

Whether you like posting black-and-white photos or prefer adding filters that make colors pop, your Instagram account may provide clues about your mental health, a new study finds. Using the Instagram photos and mental health history collected in the first part of the study, the researchers then pitted a different group of volunteers against a machine-learning algorithm to see if humans or AI did do a better job of identifying individuals with depression based on their Instagram posts. The new group of volunteers was asked to rate the last 100 photos posted by users with depression diagnoses before those users were first diagnosed with the condition. In addition, the volunteers were asked to rate photos from the group of people without depression diagnoses -- in this case, those users' most recent 100 photos.


Instagram photos reveal predictive markers of depression

#artificialintelligence

Instagram posts made by individuals diagnosed with depression can be reliably distinguished from posts made by healthy controls, using only measures extracted computationally from posted photos and associated metadata. In studies associating mood, color, and mental health, healthy individuals identified darker, grayer colors with negative mood, and generally preferred brighter, more vivid colors [16–19]. Instagram posts made by depressed individuals prior to the date of first clinical diagnosis can be reliably distinguished from posts made by healthy controls. The authors analyzed 118 studies that evaluated general practitioners' abilities to correctly diagnose depression in their patients, without assistance from scales, questionnaires, or other measurement instruments.


AI can spot signs of depression from Instagram photos

Daily Mail

An AI breakthrough that allows a computer to detect depression in photos uploaded to social media could lead to a new mental health app. They gathered 43,950 photos provided by 166 people with 71, just under half, reporting experiences of clinical depression in the previous three years. This latter group preferred filters like Valencia, that gave their photos a warmer brighter tone. Researchers gathered 43,950 photos provided by 166 people with 71, just under half, reporting experiences of clinical depression in the previous three years.


Is Snapchat developing a flying camera?

Daily Mail

In a bid to overtake its rivals, including Facebook and Instagram, Snap looks like it could soon be developing a drone. Snapchat recently hired 50 hardware engineers and designers as it continues its drive into technology research. 'We were thinking about how they could be more innovative than their competitors and since Snapchat has re-branded themselves as a camera app, we thought'what could be changed about a mobile device to make the camera and messaging at the forefront.'' The Android device boasts at 360-degree camera, volume buttons that let users scroll through filters in the app and a one-touch capture function that can be pressed or held when the phone is locked.


Millennials spend over half an hour on Instagram every day

Daily Mail

The Facebook owned app revealed users under 25 are on the app for 32 minutes on average daily, while older users spend 25 minutes each day using it. The Facebook owned app revealed users under 25 are on the app for 32 minutes on average daily, while older users spend 25 minutes each day using it. That means that after just one year, Instagram Stories has 84 million more users than Snapchat, which launched almost five years ago on the disappearing content feature alone. Instagram head of product Kevin Weil defended the company's move to steal Snapchat features when grilled about if employees felt guilty, if it's moral and if he sees any disadvantages to'copying instead of building something original' The introduction of Stories has had a clear impact on Instagram's recent growth and Snapchat's recent decline.


This AI turns #FoodPorn into recipes you can use

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Pic2Recipe!, a website created by MIT electrical engineering and computer science student Nick Hynes, is a neural network that's been trained to recognise food from more than one million recipes on Food.com and AllRecipes. "It can look at a photo of a dish and be able to predict the ingredients and even suggest similar recipes," Hynes says. The website lets anyone upload images that are then analysed by machine learning systems. When the system is able to determine food in photos it then searches against a database and suggests similar recipes.


Are dating apps the new social networks?

Mashable

There are still plenty of people out there in search of the perfect match, but the dating app Hater, which matches people based on the things they mutually dislike, has discovered an interesting trend among its users. There weren't always enough users in any given region, so the app expanded the radius for people in those areas, allowing users to start matching all over the globe. One recent survey found that more than 90 percent of college students are using dating apps for purposes other than hooking up or finding love -- mainly they're there for entertainment and the ego boost you get from being "liked." In an effort to capitalize on this, Bumble added BumbleBFF in early 2016, and Tinder launched Tinder Social a year ago.


Facebook hires former Uber PR chief Rachel Whetstone

The Guardian

Rachel Whetstone, the former top public relations executive at Uber, is joining Facebook as vice-president of communications for Instagram, WhatsApp and Messenger. Whetstone, a British public relations guru who worked for some of the UK's most powerful Conservative politicians, stepped down as head of public policy and communications at Uber in April following a string of corporate scandals. Before Uber, Whetstone worked at Google as the head of communications and public policy. Before Whetstone's departure, Uber was also dealing with negative press surrounding a video of CEO Travis Kalanick berating a driver, a high-stakes legal battle with Google surrounding the alleged theft of autonomous vehicle technology and revelations about secretive programs that Uber used to deceive regulators and spy on its rival.