Comments
Twitter Posts Betray Illness
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Kristin Burnham
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Kristin Burnham,
User Rank: Author
4/15/2014 | 2:31:09 PM
Re: Accuracy
I agree, Whoopty. (Plus, the last thing on my mind when I have the flu is tweeting about it.)
Susan Fourtané
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Susan Fourtané,
User Rank: Ninja
4/15/2014 | 10:19:11 AM
Re: Tipoffs?
Thomas, 

"Actually, they dropped individuals who, for example, didn't have Twitter accounts."

Well, of course. There is no point in analyzing tweets of non-existing accounts. Yet, the whole thing doesn't make too much sense to me. 

Do you believe this research is accurate, or useful in any way? 

-Susan
Thomas Claburn
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Thomas Claburn,
User Rank: Author
4/15/2014 | 9:54:35 AM
Re: Tipoffs?
>In other words, they discarded the individuals who hadn't given any clue about their flu in their tweets. :D

Actually, they dropped individuals who, for example, didn't have Twitter accounts.
Whoopty
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Whoopty,
User Rank: Ninja
4/15/2014 | 7:09:32 AM
Accuracy
Considering there is absolutely no way to verify any of the information collected this way, without somehow having access to that person's medical records AND they would have had to had visited a medical professional to confirm it themselves, this seems like an entirely redudant exercise. 
Susan Fourtané
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Susan Fourtané,
User Rank: Ninja
4/15/2014 | 3:07:11 AM
Re: Tipoffs?
Thomas, 

"After discarding the data of a handful of individuals for a variety of reasons, the researchers set out to analyze the tweets from both groups in their study to determine whether they could diagnose influenza from Twitter posts."

In other words, they discarded the individuals who hadn't given any clue about their flu in their tweets. :D

-Susan
Susan Fourtané
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Susan Fourtané,
User Rank: Ninja
4/15/2014 | 3:04:03 AM
Re: Tipoffs?
Laurianne, 

You don't have to be a data scientist to read my tweets from last week and conclude that I had a flu. Between the text analysis of my own tweets and the replies I got it was pretty obvious. 

Penn University should occupy its data scientists in something more productive. 

-Susan
Charlie Babcock
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Charlie Babcock,
User Rank: Author
4/14/2014 | 5:41:33 PM
Crowd awareness corrupts social net analysis
My diagnosis: Crowd awareness of Google Flu Trends leads to trend results corruption. If you have the flu and know Google is watching your searches, you may modify your key word choices to maintain a little privacy.
Thomas Claburn
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Thomas Claburn,
User Rank: Author
4/14/2014 | 5:02:09 PM
Re: Tipoffs?
Not really. It was a combination of keyword analysis and other data.
Laurianne
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Laurianne,
User Rank: Author
4/14/2014 | 4:56:54 PM
Tipoffs?
Did the researchers share any sample Twitter post tipoffs that you had the flu? Was it people saying they were tired, for instance, or was it that someone's typical Twitter volume went down?


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