What Your Twitter Really Says About You
What does one's tweeting and twittering really say about them?
Imagine for a moment, that along with me, you have also been following two guys on twitter. Same job, same field but a whole lot different in the "chat-it-up" category that makes some twitter-users attract followers like flies to honey and others, well....not so much. It doesn't take us long, as we follow these two guys, to figure out that Mr. Twittering Guy #1 is quite a bit more verbose than Mr. Twittering Guy #2. The more we hear from T.G. #1 (Twittering Guy), the more we come to expect even though his tweets are not usually about the job/marketplace/anything related to work. Although T.G. #2 tweets less often, his are consistently related to work issues and are generally quite helpful and insightful. T.G. #1 may tweet a exorbinant amount of times in relation to T.G. #2 but we find ourselves paying closer attention to the more infrequent but relevant tweets. Interesting. Suddenly, T.G. #1 drops any and all mention of work from his twittering life altogether. Not a word about work. Nary a tweet or link in a tweet to anything related to his marketplace. As we contemplate whether or not to stop following T.G. #1, he solves said problem for us himself and just completely falls off the tweeting bandwagon. "How odd", we think. "Where'd he go?", we wonder. "Is he ok?", we ask. No way to know. T.G. #1 is gone. But.....ta da! About a month later, he's back and all is (seemingly) well. He's back AND he's tweeting about pertinent-to-the-job information again. Ood, yes, but glad to have him back. Meanwhile, in another part of town, T.G. #2 has been faithfully plodding along and giving us his not-so-earth-shattering-but-still-relevant-to-the-subject-at-hand tweets on a regular, consistent basis. So, here's the deal. When twitter users change their behavior, the data is easily skewed. Errors also come into play. Whenever you're plugging numbers, there is always the possibility for error based on a litany of reasons. This is ever true in the twitter influence data gathering. If the numbers say T.G. #1 or #2 has changed the frequency of their tweets, there still needs to be considerations made for the subject (relevancy and influence) of their information. If they're still tweeting the same amount but the content and possibly purpose has changed, that changes all the facts and figures. Any gathering of twitter data needs to be aware of the myriad of influences behind-the-scenes for any user (influencer!).
Imagine for a moment, that along with me, you have also been following two guys on twitter. Same job, same field but a whole lot different in the "chat-it-up" category that makes some twitter-users attract followers like flies to honey and others, well....not so much. It doesn't take us long, as we follow these two guys, to figure out that Mr. Twittering Guy #1 is quite a bit more verbose than Mr. Twittering Guy #2. The more we hear from T.G. #1 (Twittering Guy), the more we come to expect even though his tweets are not usually about the job/marketplace/anything related to work. Although T.G. #2 tweets less often, his are consistently related to work issues and are generally quite helpful and insightful. T.G. #1 may tweet a exorbinant amount of times in relation to T.G. #2 but we find ourselves paying closer attention to the more infrequent but relevant tweets. Interesting. Suddenly, T.G. #1 drops any and all mention of work from his twittering life altogether. Not a word about work. Nary a tweet or link in a tweet to anything related to his marketplace. As we contemplate whether or not to stop following T.G. #1, he solves said problem for us himself and just completely falls off the tweeting bandwagon. "How odd", we think. "Where'd he go?", we wonder. "Is he ok?", we ask. No way to know. T.G. #1 is gone. But.....ta da! About a month later, he's back and all is (seemingly) well. He's back AND he's tweeting about pertinent-to-the-job information again. Ood, yes, but glad to have him back. Meanwhile, in another part of town, T.G. #2 has been faithfully plodding along and giving us his not-so-earth-shattering-but-still-relevant-to-the-subject-at-hand tweets on a regular, consistent basis. So, here's the deal. When twitter users change their behavior, the data is easily skewed. Errors also come into play. Whenever you're plugging numbers, there is always the possibility for error based on a litany of reasons. This is ever true in the twitter influence data gathering. If the numbers say T.G. #1 or #2 has changed the frequency of their tweets, there still needs to be considerations made for the subject (relevancy and influence) of their information. If they're still tweeting the same amount but the content and possibly purpose has changed, that changes all the facts and figures. Any gathering of twitter data needs to be aware of the myriad of influences behind-the-scenes for any user (influencer!).
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