LEADER 00000cam 2200649Ii 4500 001 ocn944189411 003 OCoLC 005 20170927054918.9 006 m o d 007 cr mn||||||||| 008 160309t20162016caua ob 000 0 eng d 019 945391446 020 9780833094445|q(electronic bk.) 020 0833094440|q(electronic bk.) 035 (OCoLC)944189411|z(OCoLC)945391446 037 22573/ctt1b6gkg8|bJSTOR 040 AWC|beng|erda|epn|cAWC|dJSTOR|dCOO|dYDXCP|dOCLCF 049 CKEA 050 4 UB323|b.J34 2016eb 082 04 355.2/230973|223 088 RR-1197-A 100 1 Jahedi, Salar,|eauthor. 245 10 Searching for information online :|busing big data to identify the concerns of potential Army recruits /|cSalar Jahedi, Jennie W. Wenger, Douglas Yeung. 264 1 Santa Monica, Calif. :|bRAND Corporation,|c[2016] 264 4 |c©2016 300 1 online resource (22 pages) :|bcolor illustrations. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file|bPDF|2rda 490 1 Rand Corporation research report series ;|vRR-1197-A 500 Series from web site. 500 "Arroyo Center." 504 Includes bibliographical references (pages 21-22). 505 0 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 520 "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. 588 Description based on online resource; title from PDF title page (RAND, viewed March 9, 2016). 610 10 United States.|bArmy|xRecruiting, enlistment, etc. 610 10 United States.|bArmy|xData processing. 610 17 United States.|bArmy.|2fast|0(OCoLC)fst00533532 650 0 Recruiting and enlistment|xData processing. 650 0 Big data. 650 7 COMPUTERS / Internet / General.|2bisacsh 650 7 Armed Forces|xData processing.|2fast|0(OCoLC)fst01351761 650 7 Big data.|2fast|0(OCoLC)fst01892965 650 7 Recruiting and enlistment.|2fast|0(OCoLC)fst01091944 650 7 Recruiting and enlistment|xData processing.|2fast |0(OCoLC)fst01431999 700 1 Wenger, Jennie W.,|eauthor. 700 1 Yeung, Douglas,|eauthor. 710 2 Arroyo Center,|eissuing body. 710 2 Rand Corporation,|epublisher. 830 0 Research report (Rand Corporation) ;|vRR-1197-A. 914 ocn944189411 994 92|bCKE
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