When you search "Facebook Live" on Google today, these are the most popular results you'll see:

Not "Facebook Live tips and tricks." Not "Facebook live funniest videos." All the most popular searches for Facebook Live revolve around murders, torture, and death. This is probably not what Facebook had in mind when it introduced Facebook Live to the public last April.

With the exception of the "Chewbacca Mom" video, Facebook Live only seems to get in the news cycle when a horrific incident occurs on the platform. Some examples:

These are just a handful of the dozens of examples you'll find online.

Facebook Live is currently in the news because, according to Cleveland police, an Ohio resident named Steve Stephens killed an elderly man on Facebook Live on Sunday and claimed to have killed more than a dozen other people in the same broadcast. State and local police are still searching for Stephens, with authorities and Cleveland Mayor Frank Johnson asking the man to turn himself in.

Now, it's important to note that live-streaming video platforms on the internet are a relatively new medium. And as Facebook, Twitter, Amazon and others continue investing in live video, it's unclear what, if anything, should be done when these incidents occur — from hiding these videos from web search, to preventing these gruesome and sad tragedies from being broadcast live in the first place. The fact is, even if Facebook is quick to take down these offending videos, it doesn't take much for these incidents to become news stories, which in turn leads people to search for the original videos through Google and other search engines. So as live video becomes more of a thing, hopefully we'll see Facebook and others make efforts to address this complex and sensitive issue.

Source : uk.businessinsider.com


Categorized in Social

Getting a new job, recovering from an abusive relationship, engaging in new kinds of activism, moving to a different countrythese are all examples of reasons one might decide to start using Facebook in a more private way. While it is relatively straightforward to change your social media use moving forward, it can be more complicated to adjust all the posts, photos, and videos you may have accumulated on your profile in the past. Individually changing the privacy settings for everything you have posted in the past can be impractical, particularly for very active users or those who have been using Facebook for a long time.

The good news is that Facebook offers a one-click privacy setting to retroactively change all your past posts to be visible to your friends only. With this tool, content on your timeline that you’ve shared to be visible to Friends of Friends or Public will change to be visible by Friends only. And the change will be “sticky”it cannot be reversed in one click, and would be very difficult to accidentally undo.

Watch this video for a step-by-step tutorial to change this setting and make your posts more private.

Privacy info. This embed will serve content from youtube.com

Keep in mind that, if you tagged someone else in a past post, that post will still be visible to them and to whatever audience they include in posts they are tagged in. And, if you shared a past post with a “custom” audience (like “Friends Except Acquaintances” or “Close Friends”), this setting won’t apply

Finally, this setting can only change the audience for posts that you have shared. When others tag you in their posts, then they control the audience. So share this blog post and video with your friends and encourage them to change their settings, because privacy works best when we work together.

Source : eff.org

Categorized in Internet Privacy

Amazon’s Alexa can summon an Uber and satisfy a four-year-old’s demand for fart noises. Siri can control your Internet-connected thermostat. Each serve millions of users each day. But a lucky group of around 10,000 people, mostly in California, know that Facebook’s assistant, named M, is the smartest of the bunch.

Recommend and reserve a romantic hotel in Morocco that’s also suitable for small children? No problem. Get quotes from local contractors for landscaping your front yard? Consider it done. Facebook’s experimental assistant, offered inside the company’s Messenger app, shows the value of having a true digital butler in your pocket. Instead of just retrieving simple pieces of information from databases, M can understand complex orders and take actions like booking theater tickets or contacting companies for information.

M is so smart because it cheats. It works like Siri in that when you tap out a message to M, algorithms try to figure out what you want. When they can’t, though, M doesn’t fall back on searching the Web or saying “I'm sorry, I don’t understand the question.” Instead, a human being invisibly takes over, responding to your request as if the algorithms were still at the helm. (Facebook declined to say how many of those workers it has, or to make M available to try.)

That design is too expensive to scale to the 1.2 billion people who use Facebook Messenger, so Facebook offered M to a few thousand users in 2015 as a kind of semi-public R&D project. Entwining human workers and algorithms was intended to reveal how people would react to an omniscient virtual assistant, and to provide data that would let the algorithms learn to take over the work of their human “trainers.”

“Everybody in this field is dreaming of creating the assistant that will finally be very, very, very smart,” says Alex Lebrun, who started the project. M is supposed to open a path to truly doing it.

Now two years down that path, Facebook’s research project can justifiably be called successful. Users like M, and the theory that software could learn to take over some work from the human trainers has been borne out. Yet M is still far from the point where it could be offered to the other 99.9 percent of Messenger users, and progress has been harder won than expected.

“We knew it was a huge challenge, but it’s even bigger than I thought,” says Lebrun. “The learning rate, the growth of the automation—we’ve seen that it would be slower than we hoped.” M’s story is a reminder of how far artificial intelligence has come in recent years—and how far it has to go.

M is for moonshot

People are surprisingly game to talk with dumb machines. The first chatbot was created in 1964, by MIT professor Joseph Weizenbaum. It trotted out canned lines in response to specific keywords, most successfully when playing the role of a therapist. To Weizenbaum’s annoyance, many people who tried it, including his own secretary, were smitten despite knowing that the bot, called Eliza, knew nothing. “I had not realized that extremely short exposures to a relatively simple computer program could induce powerful delusional thinking in quite normal people,” he later wrote.

Making a chatbot that helps you by getting things done, not just acting as a sounding board or confessor, is much harder. When a virtual servant is asked to do something, a vague or deflecting response won’t cut it. Today’s software is poor at understanding language and the world, so virtual assistants, such as Siri or Alexa, must be explicitly programmed to handle any given task.

That’s why bots on the market have restricted repertoires. And it probably explains why suggestions last year that chatbots were set to transform how we use computers much as mobile apps did, stoked by Microsoft, Facebook, and some tech investors, don’t seem to have amounted to much. “Bots are right now in the trough of despair,” says Greg Cohn, CEO of Burner, a mobile privacy company that has started helping Airbnb hosts create a simple bot to answer common questions from guests. “To industry observers it feels like they’re overhyped and under-delivering.”

Lebrun built M because he had spent more than a decade building conventional, narrow chatbots and dreamed of offering much more. He joined Facebook in early 2015 when the social network acquired Wit.ai, a company he cofounded to help businesses create chatbots for functions like customer support. Lebrun had previously sold a chatbot company to the speech recognition giant Nuance.

“Every single bot on the market, including mine, was rule-based, and you know that one day you’ll reach a ceiling and never go through,” says Lebrun. “Our children don’t work with rules or scripts, and one day they become smarter than you.”

M was initially offered only to Facebook employees, and then to some heavy Messenger users in California. And it didn’t take long to demonstrate that algorithms could indeed learn to do some of the work being done by the humans powering the assistant.

Facebook’s artificial-intelligence research group used M to test a new type of learning software called a memory network, which had shown aptitude at answering questions about simple stories. The software uses a kind of working memory to salt away important information for later use, a design Google is also testing to improve software’s reasoning skills.

Weizenbaum had suggested back in 1964 that something like this could make Eliza smarter, and within weeks it worked for M. Lebrun remembers being surprised after thanking the assistant for ordering movie tickets. It automatically generated the response “You’re welcome. Enjoy the movie.” M had learned to remember and use the context of the task it was helping with. “We were really blown away,” says Lebrun. “Nobody wrote a program to do that.”

Memory networks went on to do more. They now kick in if someone asks M to get flowers delivered, for example, automatically using key info from the request, such as budget or address, to generate suggestions from online florists. The human trainer then chooses which to offer the user.

Other discoveries have been less cheering. One is the huge appetite M unlocks in its users. With limited, fully automated assistants like Siri or Alexa, people tend to settle into using a few functions they find to work reliably. With M, they don’t.

“People try first to ask for the weather tomorrow; then they say ‘Is there an Italian restaurant available?’ Next they have a question about immigration, and after a while they ask M to organize their wedding,” says Lebrun. “We knew it would be dangerous, and it’s wider than our expectations.”

Human trainers gamely do their best when they receive tough queries like “Arrange for a parrot to visit my friend,” but sometimes they decline to help altogether. Even if M were to automatically turn down the most complex of user queries, though, the sheer variety of their requests makes the goal of having algorithms take over from human trainers harder to reach. A technique called deep learning has recently made machine learning more powerful (memory networks are an example). But learning to handle a wide variety of complex scenarios, with little data on each because they don’t arise often, is not the kind of problem deep learning excels at. “It’s much smarter, and it can learn very complex tasks, but it needs a lot of data,” says Lebrun.

Long haul

Slower-than-expected progress has led Facebook to reimagine its project. Last week a feature called M Suggestions appeared in Messenger, similar in function to the kinds of limited bots M is meant to displace. It looks at your chats with friends for clues that you might want to do things like order a ride with Uber, or send someone money, and offers a button to achieve those goals with a single tap.

“We decided to find a use case where we can accelerate delivering value to users,” says Laurent Landowski, who joined Facebook with Lebrun as cofounder of Wit.ai and now oversees M. (Lebrun returned to his native France in January, joining Facebook’s AI research lab in Paris.)

The original, human-dependent M is still out there, delivering much greater value to its few lucky users. Facebook says it is committed to the project, and the current moment in artificial intelligence is a good one for long-term bets. In the last couple of years, deep learning has upended established techniques and expectations for software that processes language, says Justine Cassell, a professor at Carnegie Mellon. “We’re in the glory days of these new machine-learning algorithms,” she says. Indeed, Google’s translation accuracy recently jumped to an almost human level.

That doesn’t mean it’s a foregone conclusion that software can learn to play butler by watching humans do it. “I don’t think we know yet,” says Cassell. But Facebook’s researchers say they have plenty of ideas to explore.

One is getting the automated side of M to learn from positive or negative feedback in the messages users send, using a technique inspired by the process of training animals with rewards (see “10 Breakthrough Technologies 2017: Reinforcement Learning”). M might advance faster if not solely dependent on aping what its human contractors do. To spark ideas in the broader research community, Facebook’s team has released tools to help others test and compare unscripted assistant bots. And promising new techniques can now also be tested at larger scale, in M Suggestions.

Lebrun and Landowski think that they’re still on track to eventually bring the real M to the masses. “Sometimes we say this is three years, or five years—but maybe it’s 10 years or more,” says Landowski.

Lebrun adds, “It’s so hard, and we make progress slowly, but I think we have everything we need.” He could be right, but you can also imagine someone who met Eliza in 1964 saying much the same thing.

Source : technologyreview.com

Categorized in Social

In general, social interaction helps people create and foster relationships. Although, as social networks have expanded over the past decade, their downsides have become apparent. Connecting virtually can lead to a decline in face-to-face relationships and meaningful activities, a sedentary lifestyle, internet addiction and low self-esteem.

The average Facebook user spends almost an hour on the platform every day, and a recent Deloitte study revealed that the first thing many smartphone owners do when they wake up is open their social media apps.

study co-authored by researchers from Yale University and the University of California, San Diego, uncovered how Facebook use influences a person’s well-being. Analyzing data from 5,208 adults over a two-year period, the researchers found that the average Facebook user’s well-being over declined time.

Over the two-year period, the researchers collected data in three waves. Each time, they measured a person’s well-being -- based on factors such as life satisfaction, self-reported mental and physical health and body mass index. They compared that data to each person’s Facebook usage, taking note of when respondents liked others’ posts, created posts and clicked on links.

Also, to help paint a picture of a respondent’s real-world (not online) social network and compare it to that person’s Facebook usage, the researchers asked respondents to name up to four friends with whom they discuss important topics and up to four friends with whom they spend their free time.

Nothing beats an in-person social relationship, the researchers found. Real-world relationships were positively associated with a person’s overall well-being, while Facebook interactions were negatively associated with overall well-being. And, while the researchers expected the action of liking others’ Facebook posts to have the strongest negative impact on one’s well-being (because it initiates social comparison), they found that all three actions (clicking on links, liking others’ content and creating posts) were similarly associated with diminished well-being.

Overall, the co-authors found that the decline of one’s well-being is a product of not just the quality of their social media interactions, but the quantity of them (time spent on them) as well.

Social networking companies have recognized the opportunity for them to foster valuable, healthy, offline connections. Facebook founder Mark Zuckerberg published a letter in February 2017 describing his vision for Facebook as a platform that builds real-life support systems. Tinder has recently developed new products within its app to encourage users to meet in person.

“While screen time in general can be problematic, the tricky thing about social media is that while we are using it, we get the impression that we are engaging in meaningful social interaction,” co-authors Holly B. Shakya and Nicholas A. Christakis write in Harvard Business Review. “Our results suggest that the nature and quality of this sort of connection is no substitute for the real world interaction we need for a healthy life.”

Source: entrepreneur.com

Categorized in Social
Facebook may have revolutionized how we stay in touch with friends and family, but a new study has found that too much time on social media actually leads to increased feelings of isolation.

The study, published Monday in the American Journal of Preventive Medicine, examined feelings of social isolation among more than 1,787 US adults between the ages of 19 and 32. 

The researchers defined social isolation as the lack of a sense of belonging, true engagement with others, and fulfilling relationships.

Participants were given a questionnaire which assessed how socially isolated a person felt, as well as how much and how often they used 11 popular social media platforms – Facebook, YouTube, Twitter, Google Plus, Instagram, Snapchat, Reddit, Tumblr, Pinterest, Vine, and LinkedIn.

The researchers found that participants spent an average of just over an hour (61 minutes) on social media each day, and visited social media sites a median of 30 times each week.

Twenty-seven percent of the participants reported feeling high levels of social isolation, with researchers concluding that greater social media use was linked to greater feelings of social isolation.

For instance, those who used social media more than two hours daily were around twice as likely to report feeling high levels of social isolation. Those who visited social media sites 58 times or more per week were about three times as likely to report feeling high levels of social isolation.

“We are inherently social creatures, but modern life tends to compartmentalize us instead of bringing us together,” lead author Brian Primack, director of the Center for Research on Media, Technology and Health at the University of Pittsburgh, said in a press release. 

“While it may seem that social media presents opportunities to fill that social void, I think this study suggests that it may not be the solution people were hoping for,” he continued.

The researchers noted that part of the problem could be that social media can give people the impression that others are leading happier lives, because people sometimes portray themselves unrealistically online.

Another theory is that people spending a lot of time on social media have less time for real-world interactions, and that such sites can make people feel excluded – such as when a person sees their friends at a party they weren't invited to.

However, the problem doesn't necessarily stem directly from social media. The researchers said it's possible that those who already felt socially isolated are simply more likely to spend a lot of time on social media.

“We do not yet know which came first – the social media use or the perceived social isolation,” co-author Elizabeth Miller, professor of pediatrics at the University of Pittsburgh, said in a statement.

“It’s possible that young adults who initially felt socially isolated turned to social media. Or it could be that their increased use of social media somehow led to feeling isolated from the real world.”

Miller also said it “could be a combination of both,” but noted that if social isolation came first, it does not seem to be alleviated by spending time online.

Source : rt.com 

Categorized in Social

1. Teach your friends how to *actually* pronounce your name.

Teach your friends how to *actually* pronounce your name.
Go to your profile page, then About, click Details About You, then under Name pronunciation, click “How do you say your name?“
Nicole Nguyen / BuzzFeed
This is how it shows up on your profile!
Categorized in Social

Short Bytes: Do you know about all the things you can do using Facebook’s search engine? It’s way powerful that you think. Using a combination of different search phrases, you can search all the posts, news, places, and photos. You can even use it to shop, play games, or listen music. But, it’s a lot different that regular web search engines like Google.

Facebook’s internal search engine is one of the most underrated and under-used tools we come across every day. Also, apart from Google’s search engine, it’s one of the most powerful search tools that we have at our fingertips.

Our most Facebook search activity is limited to typing the names of friends and pages in the search box and seldom we use for other purposes. This isn’t entirely our fault. After the introduction of Graph Search in 2014, apart from becoming more popular, Facebook’s search engine has become trickier. Now, there are many option and query syntax.

What exactly can I find using Facebook search?

If you take a look at Facebook’s search prompt, it says “Search Facebook.” That’s right, this search lets you search any post you’ve seen before on Facebook, all the friends, all publicly shared items, etc.

But, to do so, often Facebook needs you to phrase your search queries using natural language. Basically, it’s very different from Google’s search engine. As you enter a phrase or friend’s name, Facebook starts showing you prompts and suggestions that are automatically generated. These suggestions are personalized, which means that they are different for all Facebook users and vary according to their past activities.

1. Use Facebook to find friends, groups, and pages, obviously

Facebook experience is all about your friends and there are many ways you can search your friends. Apart from directly searching for any user, you can sort the search results based on city, education, work, and mutual friends. Alternatively, you can also use following patterns:

  • My friends
  • My close friends
  • Friends of my friends
  • Friends of Sarah

2. Tips and trick to easily search interests, likes, photos, etc.

The new Facebook search makes it easy to find what your friends have liked. For example, you can start typing Friends who like…. and it’ll start showing top suggestions. To narrow the search results, you need to click on a filter like People, Photos, Pages, etc.


You can use phrases like Photos of…. to look for your photos, pictures of your friends, etc. You can also search your previously liked photos and posts. Simply search Photos/posts liked by me. You can also use this search syntax to find the photos/posts liked by your friends and family. Simply replace me by my friends or some particular friend.

Facebook search also supports other keyword searches to help you find what you’re looking for. You can start searching with keywords like cake recipe Carol, Lisa wedding, etc.

You can use the phrases that you remember from a particular post.


3. Find hotels, restaurants, etc. using Facebook

Just in case you’re looking for some pizza place nearby, you can try related searches. As Facebook supports search for places, you’ll be able to search for hotels, businesses, restaurants, services, etc. You can combine phrases like liked by my friends, liked by me, etc. to get more specific results.


4. Search videos using Facebook search

You can also search for videos on Facebook. Simply use phrases like videos, trailer, music video, etc. to get what you want. Ex. La La Land Trailer


5. Find latest news articles on Facebook

In recent times, Facebook has emerged as one of the most common source of news for its users. You can use phrases like Links/news/posts about… or use hashtags to specify the search result:


6. Search games and music

Facebook is also home to various games and music. You can search for games like Candy Crush, Words With Friends, etc. You can also search your favorite music artists and bands, and get updates on their latest releases and videos.


7. Find things on Facebook and shop

You might haven’t realized but you can do shopping on Facebook. Simply search for the thing you’re looking for and narrow down the query using the top filters. You also get the option to sort the shop results according to their price.


8. Search your own Facebook history

Apart from using Facebook search option to find your posts and photos, you can search your activity log by visiting this URL: https://www.facebook.com/me/allactivity


9. Find phone number on Facebook

Last but not the least, you can search for a phone number on Facebook. Simply enter your phone number (if it’s public), you can see it for yourself.


Important: Combine the search keywords

As said above, you can combine these phrases together and add things like time, location, interests, likes, etc. to get more specific results. For ex., Photos of my friends before 2000. You should also keep in mind that Facebook’s Graph Search isn’t a typical web search engine. It’s best for searching specific content types like photos, people, posts, places, and businesses.facebook-search-tips-tricks-6

It goes without saying that the search results are affected by the privacy settings. Facebook also makes sure that your privacy settings are taken care of.

Did you find this Facebook search tips and tricks interesting? Don’t forget to share your views and feedback.

Source : fossbytes.com

Categorized in How to

Yandex, the Google of Russia, has built a voice-activated visual search engine for Facebook. Codenamed “Wonder,” the mobile app lets people ask what businesses friends have visited and what content they’ve consumed, sources confirm. The question is if Facebook will permit the app. Its policy prohibits use of its data in search engines without permission, and Wonder resembles Facebook “Nearby.”

I talked to multiple industry sources who’ve seen Wonder first-hand or currently have a build of it on their iOS device (though an Android version may have been developed, too). The logo you see above is my attempt at an artist rendition of what sources say an early version of the app’s logo looked like. One source said Wonder is “about more than Facebook” which means it could pull in more traditional search results, or just make use of data from the partners I detail below.

A Yandex spokesperson said Yandex “can’t confirm and can’t comment” on Wonder. However, they did admit that “Yandex is working on mining social data. We are building social products.” It also noted it would have an announcement to make on that front in the coming weeks or months, which could certainly be a reveal of Wonder.

Here’s a rundown of how an alpha version of Wonder worked, but note that some design and partnership details may change if it’s released.

Welcome To Wonder

Wonder users can search using voice for things such as “restaurants in Los Angeles my friends have visited.” A horizontal, tile-by-tile scrolling interface lets them view one at a time the restaurants where their Facebook friends have taken photos or checked in. Wonderers can also type to search instead of using voice, or ask to see where a specific friend has gone.

Clicking on a business shows a horizontal stream of photos and recommendations of that place posted by their friends. Another tap brings up Foursquare-powered venue info such as a map, address, and phone number.

Wonder isn’t just for local businesses like Facebook’s recently launched “Nearby” feature built by the acquired Gowalla team. Wonder can pull up music that friends have listened to, let you learn about artists thanks to Last.fm-powered profiles, or preview or buy songs from iTunes. There’s a news discovery component, too. You can see news articles recently read by all your friends or a specific friend and read them within the app through an internal browser.

Yandex’s Passport To The USA

Yandex Maps AppYandex has largely limited itself to Russia and Russian-speaking markets over the years — a market where it is currently the largest search provider. But its share in its home market has come down and been hovering around 60 percent in the last year with competition from Google and others, so it is turning to growth elsewhere.

Just as Google has extended into mobile to expand the potential footprint for its advertising network, Yandex has done the same.

Chief among those efforts have been Yandex’s moves in mobile. A little over a year ago, it bought a company called SPB Software, which develops cross-platform mobile applications and user interfaces.

Some of projects SPB may have helped Yandex with include apps discovery for musicbusiness listings, taxi services (similar to Uber, with a very popular app in Moscow) and more (this Google Play list includes apps for movie listings, ecommerce, Yandex’s Dropbox-like app Yandex.disc, and Yandex.market for ‘personal shopping’ ). In fact, you could think of these as a composite for some of the features of Wonder.

Perhaps most important of all, are Yandex’s location-based and mapping efforts. Yandex’s maps have replaced Google on iOS devices in Russia, and it also provides the search (but not native maps) on Windows Phone devices in the country. These location-based services might just be Yandex’s passport out of Russia (or so it hopes).

Yandex’s Dream, Facebook’s Nightmare?

So Wonder sounds great, especially compared to Facebook’s internal search engine, which is glaringly deficient. There’s no way to search for news read by friends, searching an artist’s name in the music category returns zero results, and if you figure out how to use the Places tab to search for restaurants, you’re met with standard-looking search results. Finding photos or recommendations of businesses from your friends is tough.

Facebook Search Results Places
Facebook tried to fix some of this with Nearby, and did a pretty good job with the business search. Built into a tab in Facebook’s primary mobile apps, Nearby shows you places friends have been, Liked, or recommended. It took a browse-by-category approach to minimizing mobile typing, in contrast to Wonder’s focus on voice commands. However, Nearby doesn’t surface photos taken by friends at places yet, and it might be better off as a standalone app rather than being buried in Facebook for iOS and Android’s navigation.

The problem is that Yandex’s Wonder may be a bit too great and employ too much of Facebook’s data. In May, Facebook updated its Platform Policies to include the statement “You must not include data obtained from us in any search engine or directory without our written permission.” Facebook tells me this was designed to keep your friends from volunteering your private information to public search engines. But Wonder could definitely be interpreted as a search engine, especially considering its built by Yandex, and the policy doesn’t only apply to private data.

facebook-nearby-map TitledIn fact, Facebook apparently learned that Yandex was developing Wonder around the time it changed its policy, and the line could have been added to protect Facebook’s future endeavors in search from invaders like Yandex. Therefore, Wonder might get its public Facebook data access shut down if it doesn’t have permission, and I’ve heard Yandex is actually worried this will happen pre- or post-launch.

CEO Mark Zuckerberg himself explained at TechCrunch Disrupt SF that Facebook is getting into search:

“Search is interesting. I think search engines are really evolving to give you a set of answers…’I have this specific question, answer this question for me’. Facebook is pretty uniquely positioned to answer the questions people have. ‘What sushi restaurants have my friends gone to in New York in the last six months and Liked?’ These are questions that you could potentially do at Facebook if we built out this system that you couldn’t do anywhere else. And at some point we’ll do it. We have a team working on search.”

Facebook Nearby, since it launched, could answer that sushi question, but so could Wonder thanks to Facebook’s data. With local business discovery comes lots of opportunity for monetization through sponsored placement and other channels. Facebook may not want some other company cashing in on this.

There is hope, though. Facebook struck a status update licensing deal with Yandex in 2010 to allow public posts from Pages to appear in the Russian search engine. In exchange Facebook got a widget on the Yandex home page that helped it sign up Russian users when it was still fighting off local social network VKontakte. Russian news outlet Ria Novosti also reported that Zuckerberg visited Yandex’s headquarters in Moscow in the Fall and held talks with management there.

Perhaps Facebook and Yandex could come to some sort of partnership around Wonder, such as a revenue share or allowing it to use Facebook data in exchange for more promotion of Facebook on Yandex. Other possibilities include Facebook buying the app from Yandex, cloning it the way Facebook copied Snapchat to build Poke, or working out a larger deal where Yandex assists Facebook with its search strategy. If Facebook was really feeling generous, it could just give Yandex permission to use the necessary data in Wonder.

No matter the outcome, sources say Yandex has proven there’s wondrous potential for Facebook in mobile search.

Author : Josh Constine

Source : techcrunch.com

Categorized in Search Engine

Just a few days after Google added live location sharing to Maps, now Facebook is doing something similar on Messenger.

You could already share your location on the app, but it was basically just a quick snapshot of your location on a map. Now you can see where your friends are in real time as they move around a city, which will come in handy for all those times your friends are “on their way” but haven’t even finished taking a shower (or make it harder for you to lie about where you are).

To try it out, simply tap the new location icon, or tap the ‘more’ icon and then select location. Locations are shared for 60 minutes (though you can stop at any time), and work in group conversations as well. You’ll also get an ETA of how long it would take you to get to the other person’s place, if you both have location sharing on.

It’s a welcome addition. More than just stalking friends and family, it can come in handy when you’re visiting a new city and want to make sure no one gets lost, or if you want to make sure your friend arrived home safely after a late night out. That said, it would be nice to be able to change the time limits to always have it turned on with specific people.

Live Location sharing is rolling out globally to iOS and Android now.

Introducing Live Location in Messenger on Facebook

Source : thenextweb.com

Categorized in News & Politics

If we knew how much data we willingly handed out each day, would it matter? If ignorance truly is bliss, as they say, we’re a society of happy internet users that are blissed out of our goddamn minds.

A new tool called Stalkscan gives users a peek at just how sweet ignorance can be.

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Created by self-proclaimed ethical hacker, Inti De Ceukelaire, Stalkscan taps the power of a mostly-forgotten Facebook feature to offer up shocking insight into anyone that hasn’t completely locked down their Facebook profile (or Page).

In 2013 Facebook launched a powerful new feature called Graph Search. The robust new search engine allowed users open access to many data sources Facebook had previously kept to itself. From the simple, like finding photos of your neighbor when she was 21; to the creepy, such as stalking single friends’ comments, events they’ve attended, statuses they’ve liked, and even seeing which bars they visit most often; all things were possible through Graph Search.

Facebook quietly back-burnered the service shortly after launch. It’s still functional, but privacy concerns and the relative complexity of using it sort of shifted the narrative away from a discrete feature and into something that just existed — even if most weren’t sure how to access it.

De Ceukelaire told Motherboard:

Graph Search and its privacy issues aren’t new, but I felt like it never really reached the man on the street. With my actions and user-friendly tools I want to target the non-tech-savvy people because most of them don’t have a clue what they are sharing with the public.

Instead of remembering the required search strings to access Graph Search, Stalkscreen puts it all at your fingertips with a simple UI. Just enter the profile URL of your victim friend and tell Stalkscreen what you want to find; it’ll do the rest, and display just what you’re looking for in a new Facebook window.

I can’t imagine this will be around for long.

Update 02/15: Stalkscan.com seems to be down.

Update #2 02/15: It’s back! 


Source : https://thenextweb.com/facebook/2017/02/15/creepy-facebook-tool-reminds-us-graph-search-terrible-idea/#.tnw_GtaWajHO#.tnw_W8PlRwcn

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