Twitter as a Potential Data Source for Cardiovascular Disease Research.
Twitter as a Potential Data Source for Cardiovascular Disease Research.
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DOI:
10.1001/jamacardio.2016.3029
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发表时间:
2016-12-01
期刊:
影响因子:
24
通讯作者:
Merchant, Raina M.
中科院分区:
文献类型:
--
作者:
Sinnenberg, Lauren;DiSilvestro, Christie L.;Mancheno, Christina;Dailey, Karl;Tufts, Christopher;Buttenheim, Alison M.;Barg, Fran;Ungar, Lyle;Schwartz, H.;Brown, Dana;Asch, David A.;Merchant, Raina M.
Twitter has recently been explored as a data source by researchers in multiple fields, though, as a whole, the research remains nascent. Even less is known about using Twitter to study cardiovascular disease. We sought to characterize the volume and content of tweets related to cardiovascular disease, and the characteristics of Twitter users. We used the Twitter Application Programming Interface (API) to access a random sample of tweets from July 2009 to February 2015. We filtered approximately 10 billion tweets for keywords related to cardiovascular disease. We included only English tweets originating from US counties. We characterized each tweet relative to estimated user demographics. A random subset of 2,500 tweets was hand-coded for tweet content and modifiers. Twitter, a social media platform Twitter users tweeting about cardiovascular disease None Our main outcomes included the volume of tweets about cardiovascular disease on Twitter and the content of these tweets. Diabetes (n=239,989) and myocardial infarction (269,907) terms were used more frequently than heart failure (9,414) terms. Users tweeting about cardiovascular disease were more likely to be older than the average Twitter population (mean age= 28.68 vs. 25.36, p<0.01), and less likely to be male (47% vs. 49%, p <0.01). Most tweets (94%) were health related. Common themes included tweets related to risk factors (42%), awareness (23%) and management (23%). Twitter offers promise to characterize public understanding and communication about heart disease.
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DOI:
10.1197/jamia.m1761
发表时间:
2006-01-01
影响因子:
6.4
作者:
Zeng, QT;Tse, T
通讯作者:
Tse, T
影响因子:
3.7
作者:
Schwartz HA;Eichstaedt JC;Kern ML;Dziurzynski L;Ramones SM;Agrawal M;Shah A;Kosinski M;Stillwell D;Seligman ME;Ungar LH
通讯作者:
Ungar LH
影响因子:
8.2
作者:
Eichstaedt JC;Schwartz HA;Kern ML;Park G;Labarthe DR;Merchant RM;Jha S;Agrawal M;Dziurzynski LA;Sap M;Weeg C;Larson EE;Ungar LH;Seligman ME
通讯作者:
Seligman ME
影响因子:
1.7
作者:
LINDBERG, DAB;HUMPHREYS, BL;MCCRAY, AT
通讯作者:
MCCRAY, AT