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The rise in mobile shopping also brings about another fascinating trend, what we’re calling “always-on shopping”. Computer-based traffic to ecommerce sites traditionally peaked between Monday and Friday and trailed off during the weekend. Mobile traffic has somewhat opposite behaviour since shoppers use their phones most during the weekends. So when you combine mobile, tablet and computer traffic to ecommerce sites, you no longer find any discernable spikes when people are shopping online. In other words, shopping is no longer something people go and do anymore; it’s something they are always doing.

Churches wanted to find out if the same applied when we looked at a smiley face emoticon, which is a stylised representation of a smiling human face.

The smiley face emoticon first appeared in a post to Carnegie Mellon University computer science general board from Professor Scott E Fahlman in 1982.

Since then, the same pattern of activity as evoked by faces has become attached to what was previously just punctuation.

Approximately two-thirds of the marketers indicate they will outsource one or more projects involving content creation, creative development, ad unit creation and online production/services.

Event spending will rise sharply as 70% of respondents plan on increases for 2012 with a significant shift to small/local roundtable programs and virtual events.

An amazing 95% of the respondents watch tech videos and three-quarters of them share or post video.  What respondents look for in video varies from one region to another with in-depth product reviews and how-to videos being of most interest.  Most people said they watch on their computers with the majority of viewings after business hours and on weekends.

Having learned a good representation for emoji, we can begin to ask questions about similarity. Namely, for a given emoji, what English words are semantically similar? For each emoji, we compute the “angle” (equivalently the cosine similarity) between it and other words. Words with a small angle are said to be similar and provide a natural, English-language translation for that emoji.

Using our algorithm, we find that many of our popular emoji have meanings in-line with early internet slang:

It seems that the most popular emoji have similar semantics to words like “lol/hehe” (

Many clusters emerge: food emoji on the left, opposite the work emoji in the top right. Shoes (bottom right) are associated closely to handbags while bathing suits are closer to the water and marine animals (top left). Alcoholic drinks (bottom left) cluster together with bowling. Towards the center, we see a large clustering of facial expressions bordered by sadness, shock, laughter, happiness and coolness. As we travel downwards, we can see happy, love leading all the way the family and wedding emoji.

On Instagram, emoji are becoming a valid and near-universal method of expression in all languages. Emoji usage is shifting the people’s vocabulary on Instagram and becoming an important means of expression: their use is anti-correlated with internet slang like “lol” and “xoxo.”

when a user gives Facebook a phone number for two-factor authentication or in order to receive alerts about new log-ins to a user’s account, that phone number became targetable by an advertiser within a couple of weeks

I’ve been trying to get Facebook to disclose shadow contact information to users for almost a year now. But it has even refused to disclose these shadow details to users in Europe, where privacy law is stronger and explicitly requires companies to tell users what data it has on them.

To test the shadow information finding, the researchers tried a real-world test. They uploaded a list of hundreds of landline numbers from Northeastern University. These are numbers that people who work for Northeastern are unlikely to have added to their accounts, though it’s very likely that the numbers would be in the address books of people who know them and who might have uploaded them to Facebook in order to “find friends.” The researchers found that many of these numbers could be targeted with ads, and when they ran an ad campaign, the ad turned up in the Facebook news feed of Mislove, whose landline had been included in the file; I confirmed this with my own test targeting his landline number.

“I think that many users don’t fully understand how ad targeting works today: that advertisers can literally specify exactly which users should see their ads by uploading the users’ email addresses, phone numbers, names+dates of birth, etc,” said Mislove. “In describing this work to colleagues, many computer scientists were surprised by this, and were even more surprised to learn that not only Facebook, but also Google, Pinterest, and Twitter all offer related services. Thus, we think there is a significant need to educate users about how exactly targeted advertising on such platforms works today.”

There are certainly creepier practices happening in the advertising industry, but it’s troubling this is happening at Facebook because of its representations about letting you control your ad experience. It’s disturbing that Facebook is reducing the privacy of people who want their accounts to be more secure by using the information they provide for that purpose to data-mine them for ads.

When I asked the company last year about whether it used shadow contact information for ads, it gave me inaccurate information, and it hadn’t made the practice clear in its extensive messaging to users about ads