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Carri Bugbee

Emoticon language is 'shaping the brain' › News in Science (ABC Science) - 0 views

  • Emoticons such as smiley faces are a new language that is changing our brain, according to new Australian research published in the journal Social Neuroscience.
  • "Emoticons are a new form of language that we're producing," says researcher, Dr Owen Churches, from the school of psychology at Flinders University in Adelaide, "and to decode that language we've produced a new pattern of brain activity.
  • According to Churches, faces are very special from a psychological point of view.
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  • 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.
Carri Bugbee

This is Your Brain on Emojis. Here's How to Use Them in Your Marketing - 0 views

  • Scientists have discovered that when we look at a smiley face online, the same parts of the brain are activated as when we look at a real human face. Our mood changes, and we might even alter our facial expressions to match the emotion of the emoticon.
Carri Bugbee

The Emoji Have Won the Battle of Words - The New York Times - 0 views

  • ne day I spent a full 10 minutes obsessing over the perfect way to say “I’m a writer. I don’t do math” in a message to my accountant: [Girl symbol] (meaning me) + [Pen and paper] (writer) + [calculator] (math) = “?!?!?” Right, it doesn’t sound so complicated. But by finding said emoji, putting them in sequence and spacing them out, I could have typed the statement 17 times.
  • It wasn’t until 2008 that a uniform emoji alphabet was created (the idea was to minimize inconsistency across platforms), and Apple adopted it in 2011, adding it to its iOS5 operating system.
Carri Bugbee

Emojineering Part 1: Machine Learning for Emoji Trends - Instagram Engineering - 0 views

  • It is a rare privilege to observe the rise of a new language. Instagram has always supported emoji, but they did not see wide adoption until the introduction of the emoji keyboard on iOS (October 2011) and on most Android platforms (July 2013). The graph below shows the percentage of text (comments and captions) containing emoji characters graphed over time
  • In the month following the introduction of the iOS emoji keyboard, 10% of text on Instagram contained emoji.
  • Usage continued to grow and in March of this year, nearly half of text contained emoji
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  • 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.”
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