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Author Jahedi, Salar, author.

Title Searching for information online : using big data to identify the concerns of potential Army recruits / Salar Jahedi, Jennie W. Wenger, Douglas Yeung.

Publication Info. Santa Monica, Calif. : RAND Corporation, [2016]
2016

Copies

Location Call No. OPAC Message Status
 Axe JSTOR Open Ebooks  Electronic Book    ---  Available
Description 1 online resource (22 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Rand Corporation research report series ; RR-1197-A
Research report (Rand Corporation) ; RR-1197-A.
Note Series from web site.
"Arroyo Center."
Bibliography Includes bibliographical references (pages 21-22).
Contents Introduction -- What is big data? -- What can internet search data tell us about attitudes and trends? -- Internet search data : three publicly available analytic tools and Army-relevant examples -- Implications and future work -- Tips, tricks, and other considerations.
Summary "This report assesses empirical applications of web search data and discusses the prospective value such data can offer Army recruiting efforts. The authors examine three different tools -- Google Trends, Google AdWords, and Google Correlate -- that can be used to access and analyze readily available, anonymous data from Internet searches related to the Army and to Army service. They found that Google search queries can inform how interest in military careers has evolved over time and by geographic location and can identify the foremost Army-related concerns that potential recruits have. Moreover, by analyzing how search terms correlate across time, it is possible to predict with reasonable accuracy what non-Army related terms people are searching for in the months before or after an Army query. These queries serve as leading and lagging indicators of army-related searches and can offer a glimpse into the concerns of individuals near the time period when they are considering joining. The results suggest that search terms can serve as an indicator of propensity and can be incorporated into models to predict highly qualified Army accessions"--Publisher's web site.
Note Online resource; title from PDF title page (RAND, viewed March 9, 2016).
Subject United States. Army -- Recruiting, enlistment, etc.
United States. Army -- Data processing.
United States. Army. (OCoLC)fst00533532
Recruiting and enlistment -- Data processing.
Big data.
COMPUTERS -- Internet -- General.
Armed Forces -- Data processing. (OCoLC)fst01351761
Big data. (OCoLC)fst01892965
Recruiting and enlistment. (OCoLC)fst01091944
Recruiting and enlistment -- Data processing. (OCoLC)fst01431999
Genre/Form Electronic books.
Electronic books.
Added Author Wenger, Jennie W., author.
Yeung, Douglas, author.
Arroyo Center, issuing body.
Rand Corporation, publisher.
ISBN 9780833094445 (electronic bk.)
0833094440 (electronic bk.)
9780833094148
0833094149

 
    
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