Showing posts with label facebook. Show all posts
Showing posts with label facebook. Show all posts
Friday, March 6, 2015
Wednesday, July 30, 2014
Twitter FaceBook Report
Twitter - Diversity Report
https://blog.twitter.com/2014/building-a-twitter-we-can-be-proud-of
http://techcrunch.com/2014/07/23/twitters-diversity-report-is-more-of-the-same/?utm_campaign=fb&ncid=fb
FaceBook - Facebook's Q2 Earnings
http://www.forbes.com/sites/jeffbercovici/2014/07/23/facebook-q2-earnings-ointment/
https://blog.shareaholic.com/social-media-traffic-trends-07-2014/
https://blog.twitter.com/2014/building-a-twitter-we-can-be-proud-of
http://techcrunch.com/2014/07/23/twitters-diversity-report-is-more-of-the-same/?utm_campaign=fb&ncid=fb
FaceBook - Facebook's Q2 Earnings
http://www.forbes.com/sites/jeffbercovici/2014/07/23/facebook-q2-earnings-ointment/
https://blog.shareaholic.com/social-media-traffic-trends-07-2014/
Monday, June 30, 2014
Even online, emotions can be contagious
http://www.newscientist.com/article/mg22229754.900-even-online-emotions-can-be-contagious.html#.U7FOzfl_sb1
Feelings, like viruses, can spread through online social networks.
A team of researchers, led by Adam Kramer at Facebook in Menlo Park, California, was curious to see if this phenomenon would occur online. To find out, they manipulated which posts showed up on the news feeds of more than 600,000 Facebook users. For one week, some users saw fewer posts with negative emotional words than usual, while others saw fewer posts with positive ones.
Feelings, like viruses, can spread through online social networks.
A team of researchers, led by Adam Kramer at Facebook in Menlo Park, California, was curious to see if this phenomenon would occur online. To find out, they manipulated which posts showed up on the news feeds of more than 600,000 Facebook users. For one week, some users saw fewer posts with negative emotional words than usual, while others saw fewer posts with positive ones.
Monday, April 14, 2014
Banks’ New Competitors: Starbucks, Google, and Alibaba
http://blogs.hbr.org/2014/02/banks-new-competitors-starbucks-google-and-alibaba/
Alibaba, China’s equivalent to Amazon, became a $16 billion lender in less than three years, and China’s largest seller of money market funds in only seven months.
Facebook is reportedly prepping an e-money service, and is close to getting approval in Ireland
http://thenextweb.com/facebook/2014/04/14/facebook-reportedly-prepping-e-money-service-close-getting-approval-ireland/
The report cites sources as saying that Facebook is weeks away from getting regulatory approval in Ireland for a service that lets users store money on Facebook and use it to pay others — what’s known as “e-money”. This means that Facebook will be able to issue units of stored monetary value that represent a claim against the company, and the e-money can be used throughout Europe in a process known as “passporting”.
Alibaba, China’s equivalent to Amazon, became a $16 billion lender in less than three years, and China’s largest seller of money market funds in only seven months.
Facebook is reportedly prepping an e-money service, and is close to getting approval in Ireland
http://thenextweb.com/facebook/2014/04/14/facebook-reportedly-prepping-e-money-service-close-getting-approval-ireland/
The report cites sources as saying that Facebook is weeks away from getting regulatory approval in Ireland for a service that lets users store money on Facebook and use it to pay others — what’s known as “e-money”. This means that Facebook will be able to issue units of stored monetary value that represent a claim against the company, and the e-money can be used throughout Europe in a process known as “passporting”.
Friday, March 28, 2014
OCULUS RIFT, KICKSTARTER, AND THE DELICATE LINE BETWEEN GROWING FAST AND SELLING OUT
Don’t worry about opting in: you’ve already agreed to be uploaded in our new Terms of Service.
[In the event that Facebook develops or acquires mind uploading, thought transfer, Von Neumann self replicating machines, or other singularity-inducing equipment, hereafter Upload Technology, you agree to grant Facebook an exclusive, worldwide, perpetual license to convert, destructively or otherwise, your brain state, including thoughts, memories, and personality, hereafter Soul, into digital form on Facebook's servers.]
Thursday, March 27, 2014
Friday, March 21, 2014
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
https://www.facebook.com/publications/546316888800776/
In modern face recognition, the conventional pipeline consists of four stages: detect => align => represent => classify. We revisit both the alignment step and the representation step by employing explicit 3D face modeling in order to apply a piecewise affine transformation, and derive a face representation from a nine-layer deep neural network. This deep network involves more than 120 million parameters using several locally connected layers without weight sharing, rather than the standard convolutional layers. Thus we trained it on the largest facial dataset to-date, an identity labeled dataset of four million facial images belonging to more than 4,000 identities, where each identity has an average of over a thousand samples. The learned representations coupling the accurate model-based alignment with the large facial database generalize remarkably well to faces in unconstrained environments, even with a simple classifier. Our method reaches an accuracy of 97.25% on the Labeled Faces in the Wild (LFW) dataset, reducing the error of the current state of the art by more than 25%, closely approaching human-level performance.
In modern face recognition, the conventional pipeline consists of four stages: detect => align => represent => classify. We revisit both the alignment step and the representation step by employing explicit 3D face modeling in order to apply a piecewise affine transformation, and derive a face representation from a nine-layer deep neural network. This deep network involves more than 120 million parameters using several locally connected layers without weight sharing, rather than the standard convolutional layers. Thus we trained it on the largest facial dataset to-date, an identity labeled dataset of four million facial images belonging to more than 4,000 identities, where each identity has an average of over a thousand samples. The learned representations coupling the accurate model-based alignment with the large facial database generalize remarkably well to faces in unconstrained environments, even with a simple classifier. Our method reaches an accuracy of 97.25% on the Labeled Faces in the Wild (LFW) dataset, reducing the error of the current state of the art by more than 25%, closely approaching human-level performance.
Friday, January 10, 2014
Digital Ads: How Facebook, Google, And Twitter Target Us
http://readwrite.com/2014/01/01/digital-ads-personalization-google-facebook-twitter#awesm=~ossO1WlW8R4y8P
What kind of personal data do the social giants collect for advertisers?
What kind of personal data do the social giants collect for advertisers?
Reaching The Right People
Finding The Target Demographic
Tracking Behavioral Rituals
One More Time: Remarketing
Google On The Hot Seat
Tuesday, October 29, 2013
Researchers Draw Romantic Insights From Maps of Facebook Networks
http://bits.blogs.nytimes.com/2013/10/28/spotting-romantic-relationships-on-facebook/?_r=0
In the graphic of one person’s network neighborhood, the cluster at the top is the individual’s co-workers. The cluster at the right is old college friends. The node (friend) in the lower left quadrant of the graphic, with links to the two dense clusters — but at a distance from those clusters — is the user’s spouse.
In the graphic of one person’s network neighborhood, the cluster at the top is the individual’s co-workers. The cluster at the right is old college friends. The node (friend) in the lower left quadrant of the graphic, with links to the two dense clusters — but at a distance from those clusters — is the user’s spouse.
Friday, October 12, 2012
Monday, September 17, 2012
Zuckerberg Could Make Facebook Members, Advertisers & Investors Happier
http://www.readwriteweb.com/archives/zuckerberg-could-make-facebook-members-advertisers-investors-happier.php
how to use FB for your biz? according to Zuckerberg...
1. Make Better Use Of Data
2. Improve Mobile And Try Mobile Banner Ads
3. Tap Into Video Advertisements
how to use FB for your biz? according to Zuckerberg...
1. Make Better Use Of Data
2. Improve Mobile And Try Mobile Banner Ads
3. Tap Into Video Advertisements
Saturday, May 19, 2012
Facebook: A Profile of its 'Friends'
http://pewresearch.org/pubs/2262/facebook-ipo-friends-profile-social-networking-habits-privacy-online-behavior?src=prc-newsletter
• On average, users make 7 new Facebook friends per month; they initiate 3 requests and accept 4.
• Women average 21 updates to their Facebook status per month while men average 6.
• In a month, about half of our sample made a comment on a friend's content, and about half received a comment.
• Fewer than 5% of users hid content from another user on their Facebook feed.
• Women average 21 updates to their Facebook status per month while men average 6.
• In a month, about half of our sample made a comment on a friend's content, and about half received a comment.
• Fewer than 5% of users hid content from another user on their Facebook feed.
Monday, April 9, 2012
Facebook can lead to 'addiction', especially among the poorly educated - and heavy users feel less happy about their lives
http://www.dailymail.co.uk/sciencetech/article-2126181/Facebook-lead-addiction-especially-poorly-educated.html#ixzz1rP39Ny5z
Swedish survey, which polled 1,000 people aged 18-73
- 70% of users log in as soon as they start their PC
- Can lead to 'addiction' say researchers
- Poorly educated use site the most
- Heavy users feel less happy and content with their lives
The average user spends 75 minutes per day on Facebook
The average user logs on to Facebook 6.1 times per day
70% log in every time they start their computer or web reader
26% feel ill at ease if they do not get to log in regularly
Women spend on average 81 minutes per day on Facebook
Men spend on average 64 minutes per day on Facebook
Swedish survey, which polled 1,000 people aged 18-73
Sunday, March 4, 2012
The Mounting Minuses at Google+ The Mounting Minuses at Google+
http://online.wsj.com/article/SB10001424052970204653604577249341403742390.html
Visitors using personal computers spent an average of about three minutes a month on Google+ between September and January, versus six to seven hours on Facebook each month over the same period, according to comScore, which didn't have data on mobile usage.
WOW!!!: Google+ has some original features—including "Hangouts," which lets people start a video conference with up to 10 people
Facebook has 845 million monthly active users.
Google+ acts as an auxiliary to Google services—such as Gmail and YouTube—by adding a "personal" social-networking layer on top of them.
Visitors using personal computers spent an average of about three minutes a month on Google+ between September and January, versus six to seven hours on Facebook each month over the same period, according to comScore, which didn't have data on mobile usage.
WOW!!!: Google+ has some original features—including "Hangouts," which lets people start a video conference with up to 10 people
Facebook has 845 million monthly active users.
Google+ acts as an auxiliary to Google services—such as Gmail and YouTube—by adding a "personal" social-networking layer on top of them.
Last August, for instance, social-games company Zynga Inc. began offering its
games "CityVille" and "Zynga Poker" to people who use Google+. Zynga now has
46.8 million monthly active users of "CityVille" on Facebook and 33.2 million
for "Zynga Poker," according to tracking service AppData.com. But the growth of
its game players on Google+ has been slow, Zynga said, declining to reveal
underlying numbers.
Saturday, February 4, 2012
THE FACEBOOK FASCINATION ON SOCIAL MEDIA
http://www.journalism.org/index_report/facebook_fascination_social_media?src=prc-newsletter
Overall, it has been users of the competing social network, Twitter, far more than bloggers that have shown a strong interest in news about Facebook. During the past two and a half years, Facebook made the top story list on Twitter in 35 weeks, compared to seven weeks on blogs (there were three occasions when Facebook was on the list of both platforms). Some of that discrepancy may be tied in part to the more tech-centric nature of Twitter and because Twitter, more than blogs, is often a vehicle for simply passing along new information.
Overall, it has been users of the competing social network, Twitter, far more than bloggers that have shown a strong interest in news about Facebook. During the past two and a half years, Facebook made the top story list on Twitter in 35 weeks, compared to seven weeks on blogs (there were three occasions when Facebook was on the list of both platforms). Some of that discrepancy may be tied in part to the more tech-centric nature of Twitter and because Twitter, more than blogs, is often a vehicle for simply passing along new information.
CHART OF THE DAY: Here's Facebook's Next Big Business
http://www.businessinsider.com/chart-of-the-day-heres-facebooks-next-big-business-2012-2?utm_medium=email&utm_campaign=SAI_COTD_020312&utm_source=Triggermail&nr_email_referer=1&utm_term=SAI%20Chart%20Of%20The%20Day
Payments are becoming a big deal as well for Facebook.
Payments are becoming a big deal as well for Facebook.
Monday, January 30, 2012
Only 1% of Facebook Page users engage with brands
http://www.zdnet.com/blog/facebook/only-1-of-facebook-page-users-engage-with-brands/8142
1.3 percent of Facebook users who Like a Page also engage with it. If you subtract new Likes, only 0.45 percent engage with the Pages they Like. Is this really as bad as it sounds?
1.3 percent of Facebook users who Like a Page also engage with it. If you subtract new Likes, only 0.45 percent engage with the Pages they Like. Is this really as bad as it sounds?
Monday, January 9, 2012
Wednesday, December 21, 2011
Facebook can be sued over use of ads liked by friends, rules court
앞으로 소셜 메시지를 활용한 마케팅에 대한 중요한 소송될 듯...
http://news.cnet.com/8301-1023_3-57344989-93/facebook-can-be-sued-over-use-of-ads-liked-by-friends-rules-court/
http://www.zdnet.co.kr/news/news_view.asp?artice_id=20111221015746&type=xml
캘리포니아 홍보법권리(California's Right of Publicity Statute)를 위반했는가? 여부가 핵심.
법에는 사람의 이름이나 사진을 그의 동의없이 돈받는 광고에 사용되는 것을 금하고 있다.
“좋아요”버튼을 클릭하는 것이 권한 위임, 또는 ‘사용자의견의 표현’이 아님 vs. “좋아요”와 연계된 회원들의 이름과 사진을 사용하는 것은 광고보다는 뉴스의 가치
http://news.cnet.com/8301-1023_3-57344989-93/facebook-can-be-sued-over-use-of-ads-liked-by-friends-rules-court/
http://www.zdnet.co.kr/news/news_view.asp?artice_id=20111221015746&type=xml
캘리포니아 홍보법권리(California's Right of Publicity Statute)를 위반했는가? 여부가 핵심.
법에는 사람의 이름이나 사진을 그의 동의없이 돈받는 광고에 사용되는 것을 금하고 있다.
“좋아요”버튼을 클릭하는 것이 권한 위임, 또는 ‘사용자의견의 표현’이 아님 vs. “좋아요”와 연계된 회원들의 이름과 사진을 사용하는 것은 광고보다는 뉴스의 가치
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