Searching for information online : using big data to identify the concerns of potential Army recruits /

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Bibliographic Details
Author / Creator:Jahedi, Salar, author.
Imprint:Santa Monica, Calif. : RAND Corporation, [2016]
©2016
Description:1 online resource (22 pages) : color illustrations
Language:English
Series:Rand Corporation research report series ; RR-1197-A
Research report (Rand Corporation) ; RR-1197-A.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11397635
Hidden Bibliographic Details
Other authors / contributors:Wenger, Jennie W., author.
Yeung, Douglas, author.
Arroyo Center, issuing body.
Rand Corporation, publisher.
ISBN:9780833094445
0833094440
9780833094148
0833094149
Digital file characteristics:text file
PDF
Notes:Series from web site.
"Arroyo Center."
Includes bibliographical references (pages 21-22).
Online resource; title from PDF title page (RAND, viewed March 9, 2016).
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
Other form:Print version: Jahedi, Salar. Searching for information online. Santa Monica, Calif. : RAND Corporation, [2016]