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Global mapping of artificial intelligence in Google and Google Scholar

Author

Listed:
  • Muhammad Omar

    (YeungNam University
    The Islamia University of Bahawalpur)

  • Arif Mehmood

    (YeungNam University)

  • Gyu Sang Choi

    (YeungNam University)

  • Han Woo Park

    (YeungNam University)

Abstract

The worldwide presence of AI needs to be quantified. This study proposes a descriptive approach and the use of multiple methods and data. An extensive electronic corpus of books was utilized to see the worldwide drift of intellectuals’ minds toward AI and identified related terms, their future trends, and convergence. Using the best bigram proposed by Ngrams Viewer, this study explores the human mind through Google query data, linking popular regions, countries, and related topics to the concept of AI. URL datasets were collected using two popular search engines (SEs), Google and Google Scholar (GS). A URL analysis identified key entities (organizations, institutes, and countries) and their yearly trends. Top-level domains revealed the global web ecology and the annual information growth of AI in SE environments. Information gathered through one approach was fed into the other, revealing a complementary relationship. AI is popular across the globe, and has left traces in many different countries. In this field, GS dominates Google, in relation to the number of sites and domains it includes. Top results reveal the popularity of AI among professionals, artists, programmers, and researchers. The pros and cons of the approaches are also discussed. In addition, this study aims to predict the impact of AI on society, as interpreted through the lenses of well-established theories. The dominance of AI may trap society into aspiring toward an easy life, dependent on intelligent machines. Consistent policies are needed to smooth out future economic cycles in the AI field.

Suggested Citation

  • Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2534-4
    DOI: 10.1007/s11192-017-2534-4
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    References listed on IDEAS

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    1. Loet Leydesdorff & Caroline Wagner & Lutz Bornmann, 2016. "Replicability and the public/private divide," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(7), pages 1777-1778, July.
    2. Blaise Cronin & Herbert W. Snyder & Howard Rosenbaum & Anna Martinson & Ewa Callahan, 1998. "Invoked on the Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(14), pages 1319-1328.
    3. Martin Hilbert, 2016. "Big Data for Development: A Review of Promises and Challenges," Development Policy Review, Overseas Development Institute, vol. 34(1), pages 135-174, January.
    4. Werner Marx & Lutz Bornmann & Andreas Barth & Loet Leydesdorff, 2014. "Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 751-764, April.
    5. Sulan Yan & Ronald Rousseau & Shuiqing Huang, 2016. "Contributions of chinese authors in PLOS ONE," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 543-549, March.
    6. Loet Leydesdorff & Lutz Bornmann, 2016. "The operationalization of “fields” as WoS subject categories (WCs) in evaluative bibliometrics: The cases of “library and information science” and “science & technology studies”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 707-714, March.
    7. Han Park & Mike Thelwall, 2008. "Link analysis: Hyperlink patterns and social structure on politicians’ Web sites in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 687-697, October.
    8. Eli Arditi & Eldad Yechiam & Gal Zahavi, 2015. "Association between Stock Market Gains and Losses and Google Searches," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-12, October.
    9. Kayvan Kousha & Mike Thelwall, 2014. "Disseminating research with web CV hyperlinks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(8), pages 1615-1626, August.
    10. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2016. "Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 741-748, March.
    11. Kayvan Kousha & Mike Thelwall & Somayeh Rezaie, 2011. "Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2147-2164, November.
    12. Mike Thelwall, 2008. "Quantitative comparisons of search engine results," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1702-1710, September.
    13. Mike Thelwall & Kayvan Kousha, 2015. "ResearchGate: Disseminating, communicating, and measuring Scholarship?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(5), pages 876-889, May.
    14. Susanne E. Baumgartner & Loet Leydesdorff, 2014. "Group-based trajectory modeling (GBTM) of citations in scholarly literature: Dynamic qualities of “transient” and “sticky knowledge claims”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 797-811, April.
    15. Nabeil Maflahi & Mike Thelwall, 2016. "When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 191-199, January.
    16. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    17. Lutz Bornmann & Caroline Wagner & Loet Leydesdorff, 2015. "BRICS countries and scientific excellence: A bibliometric analysis of most frequently cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1507-1513, July.
    18. Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.
    19. Mike Thelwall, 2006. "Interpreting social science link analysis research: A theoretical framework," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 60-68, January.
    20. Richard Van Noorden, 2014. "Online collaboration: Scientists and the social network," Nature, Nature, vol. 512(7513), pages 126-129, August.
    21. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    22. Loet Leydesdorff & Wouter Nooy, 2017. "Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 197-213, January.
    23. Kayvan Kousha & Mike Thelwall & Somayeh Rezaie, 2011. "Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2147-2164, November.
    24. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    25. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    26. Tao Chen & Erin Pik Ki So & Liang Wu & Isabel Kit Ming Yan, 2015. "The 2007–2008 U.S. Recession: What Did The Real-Time Google Trends Data Tell The United States?," Contemporary Economic Policy, Western Economic Association International, vol. 33(2), pages 395-403, April.
    27. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    28. Mike Thelwall & Alesia Zuccala, 2008. "A university-centred European Union link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 407-420, June.
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    Cited by:

    1. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    2. Han Woo Park & Jungwon Yoon, 2019. "Structural characteristics of institutional collaboration in North Korea analyzed through domestic publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 771-787, May.
    3. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    5. Naveed Naeem Abbas & Tanveer Ahmed & Syed Habib Ullah Shah & Muhammad Omar & Han Woo Park, 2019. "Investigating the applications of artificial intelligence in cyber security," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1189-1211, November.
    6. Chung Joo Chung & Han Woo Park, 2018. "Beyond data, innovation, social network, and convergence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 515-518, March.
    7. Yalcin, Haydar & Daim, Tugrul & Moughari, Mahdieh Mokhtari & Mermoud, Alain, 2024. "Supercomputers and quantum computing on the axis of cyber security," Technology in Society, Elsevier, vol. 77(C).

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