Twitter and Emoticons (in the wild)

According to these are the 25 most used emoticons on Download the whole data set yourself here.

1 13458831 ๐Ÿ™‚
2 3990560 :d
3 3182129 ๐Ÿ˜ฆ
4 2935301 ๐Ÿ˜‰
5 2082486 ๐Ÿ™‚
6 1461383 =)
7 1439234 :p
8 1013758 ๐Ÿ˜‰
9 979947 (:
10 669086 xd
11 656784 :/
12 595140 =d
13 527391 =]
14 490897 :]
15 398246 ๐Ÿ˜ฆ
16 367208 ๐Ÿ˜ฎ
17 350291 d:
18 332427 ;d
19 321328 =(
20 310343 =/
21 252914 =p
22 247794 ):
23 240355 :-d
24 217052 ๐Ÿ˜
25 179184 ^_^

Info about the data:
“This data comes from a scrape of the Twitter social network conducted by the Monkeywrench Consultancy. The full scrape consists of 35 million users, 500 million tweets, and 1 billion relationships between users.
This dataset is a corpus of tokens collected from tweets sent between March 2006 and November 2009. A โ€œtokenโ€ is either a hashtag (#data), a URL, or an emoticon (smiley face โ€” ;)). Think about comparing this data to the stock market, new movies, new video games, or even For example, use it to look at the social networking adoption of Google Wave on the rate of its mentions.”

Actually, all that I got in the free download was emoticon counts for the period between March 2006 and November 2009. So I got to thinking about what you could possibly do with this data in a useful way. What I was thinking about doing is trying to get a break out of emoticon usage by day or hour over the last few years. Then try to look for spikes in smileys, or frowns, or winks and see if these spikes are related to anything. Do you think we can measure world happiness or sadness based on emoticon use? (Probably not, but it’s an interesting thought, right?)



Posted on July 22, 2010, in Uncategorized. Bookmark the permalink. Leave a comment.

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