"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."
"Recent reports suggest that an increasing number of organizations are using information from social media platforms such as Facebook.com to screen job applicants. Unfortunately, empirical research concerning the potential implications of this practice is extremely limited. We address the use of social media for selection by examining how recruiter ratings of Facebook profiles fare with respect to two important criteria on which selection procedures are evaluated: criterion-related validity and subgroup differences (which can lead to adverse impact). […] The overall results suggest that organizations should be very cautious about using social media information such as Facebook to assess job applicants."
"We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses."
"Social networking sites such as Facebook attract millions of users by offering highly interactive social communications. Recently, a counter movement of users has formed, deciding to leave social networks by quitting their accounts (i.e., virtual identity suicide). To investigate whether Facebook quitters (n=310) differ from Facebook users (n=321), we examined privacy concerns, Internet addiction scores, and personality."
"The National Network to End Domestic Violence and Facebook have teamed up to offer tips for survivors of abuse so that you can still use Facebook but maintain safety and control over your information. This guide is aimed at helping survivors of domestic violence, sexual assault and stalking know how to use Facebook in a way that ensures that they stay connected with friends and family, but control their safety and privacy to help prevent misuse by abusers, stalkers, and perpetrators to stalk and harass."
"We have just finished the third wave of our Young People’s Consumer Confidence (YPCC) Index, which is designed to help businesses understand what young people (16-34) think about their current and future economic and employment prospects, in both developed and growth markets. The index which covers 6000 16-34 year olds across six countries revealed some surprising results."
"Recently, we published a blog post that described how to opt out of seeing ads on Facebook targeted to you based on your offline activities. This post explained where these companies get their data, what information they share with Facebook, or what this means for your privacy. So get ready for the nitty-gritty details: who has your information, how they get it, and what they do with it. It’s a lot of information, so we’ve organized it into an FAQ for convenience.”
"This paper discusses the general characteristics of online markets from a competition theory perspective and the implications for competition policy. Three important Internet markets are analyzed in more detail: search engines, online auction platforms, and social networks. Given the high level of market concentration and the development of competition over time, we use our theoretical insights to examine whether leading Internet platforms have non-temporary market power. Based on this analysis we answer the question whether any specific market regulation beyond general competition law rules is warranted in these three online markets."
"Over the past decade, social network sites have experienced dramatic growth in popularity, reaching most demographics and providing new opportunities for interaction and socialization. Through this growth, users have been challenged to manage novel privacy concerns and balance nuanced trade-offs between disclosing and withholding personal information. To date, however, no study has documented how privacy and disclosure evolved on social network sites over an extended period of time. In this manuscript we use profile data from a longitudinal panel of 5,076 Facebook users to understand how their privacy and disclosure behavior changed between 2005|the early days of the network|and 2011."
"We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests."
"When you share content in an online social network, who is listening? Users have scarce information about who actually sees their content, making their audience seem invisible and difficult to estimate. However, understanding this invisible audience can impact both science and design, since perceived audiences influence content production and self-presentation online. In this paper, we combine survey and large-scale log data to examine how well users’ perceptions of their audience match their actual audience on Facebook. We find that social media users consistently underestimate their audience size for their posts, guessing that their audience is just 27% of its true size."
"Uit een brief die de vader van […] op 14 september 2012 aan diverse buurtbewoners schreef, blijkt dat op vrijdag 7 september het meisje via Facebook een uitnodiging voor haar ‘Sweet Little 16’- partijtje naar een groepje vrienden verstuurde, maar die per ongeluk op publiek had gezet. ‘Vervolgens is een vriend van een vriend ermee vandoor gegaan en heeft 500 vrienden uitgenodigd. Nog diezelfde vrijdag hebben wij de uitnodiging van internet gehaald maar toen was het kwaad al geschied.’ […] Onder de naam ‘Project X Haren’ ging de feestuitnodiging een eigen leven leiden. Duizenden mensen werden via Facebook, Twitter en blogs geattendeerd op het feest en accepteerden de invitatie. Er werden filmpjes op YouTube gepubliceerd en ook werd er geflyerd op diverse plekken in Groningen. Op 16 september kregen de traditionele media lucht van het op handen zijnde feest. Het artikel ‘Paniek in dorp: Meisje zet verjaardagsparty op Facebook’ op Joop.nl toonde de brief van de vader. Daarin schreef papa nog: ‘voorlopig zijn we van mening dat extra publiciteit het proces eerder versterkt dan dempt’, maar dat was toen al een gepasseerd station. Openlijk was het ouderlijk huis aan de Harense […] ten prooi gevallen aan een mediahype. Vanaf 18 september volgden eerst Trouw, toen Spits en daarna iedereen. Met als absoluut dieptepunt de oproep van Radio 3FM op vrijdag 21 september om met zijn allen massaal naar Haren af te reizen."
"Most teenage patients do not disclose their personal health information on social media, even though the study found a pervasive use of Facebook. Facebook is a place to be a "regular", rather than a sick teenager. It is a place where teenage patients stay up-to-date about their social life - it is not seen as a place to discuss their diagnosis and treatment."
"The practice of employers looking for background information about job candidates on social networking websites such as Facebook has grown dramatically.3 These sites, along with search engines, are now being used as a business tool by human resources departments to perform background checks on potential employees. Users of Facebook and other such sites should post information with their eyes wide open - considering the risks to their employment prospects, current and future. This paper provides important information and suggests ways of mitigating and minimizing such risks."
"Although the precise language has changed over time, Facebook’s Central Privacy Page and Profile Privacy Page have, in many instances, stated that the Profile Privacy Settings allow users to ‘control who can see’ their profile information, by specifying who can access it, e.g., ‘Only Friends’ or ‘Friends of Friends.’ […] Similarly, although the precise interface has changed over time, Facebook’s Profile Privacy Settings have continued to specify that users can restrict access to their profile information to the audience the user selects, e.g., ‘Only Friends,’ ‘Friends of Friends.’ […] None of the pages described in Paragraphs 10-13 have disclosed that a user’s choice to restrict profile information to ‘Only Friends’ or ‘Friends of Friends’ would be ineffective as to certain third parties. Despite this fact, in many instances, Facebook has made profile information that a user chose to restrict to ‘Only Friends’ or ‘Friends of Friends’ accessible to any Platform Applications that the user’s Friends have used (hereinafter ‘Friends’ Apps’). Information shared with such Friends’ Apps has included, among other things, a user’s birthday, hometown, activities, interests, status updates, marital status, education (e.g., schools attended), place of employment, photos, and videos."