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Global mapping of artificial intelligence in Google and Google Scholar

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Omar, M., Mehmood, A., Choi, G.S., Park, H.W.@ (2017 Online First). Global mapping of artificial intelligence in Google and Google Scholar. Scientometrics.
https://link.springer.com/article/10.1007%2Fs11192-017-2534-4

#인공지능 분야의 국가별 현황과 전망을 #웹보메트릭스 #빅데이터 #구글데이터 이용해서 세계지도를 그렸습니다.

Publicada em: Dados e análise
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Global mapping of artificial intelligence in Google and Google Scholar

  1. 1. Is Boom in Artificial Intelligence a Global One? Presented by Han Woo Park Co-Authors Muhammad Omar, Arif Mehmood, Gyu Sang Choi Yeungnam University Omar, M., Mehmood, A., Choi, G.S., Park, H.W.@ (2017 Online First). Global mapping of artificial intelligence in Google and Google Scholar. Scientometrics. https://link.springer.com/article/10.1007%2Fs11192-017-2534-4 #인공지능 분야의 국가별 현황과 전망을 #웹보메트릭스 #빅데이터 #구글데이터 이용해서 세계지도를 그렸습니다. Presented at DISC 2016 http://watef.org/home/bbs/sub_disc_program.php https://jceasia.org/about-journal/
  2. 2. The Study Investigation of world wide prevalence of AI using – Google Trends (GT) - https://www.google.com/trends • Using News, Web, and YouTube Categories – Google Books Ngram Viewer- https://books.google.com/ngrams • Using various corpora – URL data of Search Engine(SE) results • Google- https://www.google.com • Google Scholar (GS)- https://scholar.google.com/
  3. 3. Selection of Query, “artificial intelligence” The bi-gram, artificial intelligence, umbrellas all the related terms
  4. 4. Selection of Query, “artificial intelligence” The bi-gram, artificial intelligence, umbrellas all the related terms
  5. 5. Selection of Query, “artificial intelligence” The bi-gram, artificial intelligence, is popular world wide
  6. 6. Results- Google Books Ngram Viewer The bi-gram, artificial intelligence, is more popular in books published in Great Britain and United States.
  7. 7. Results- Google Trends Top-5 countries (a) Emphasizing a search category- You Tube, Web, and News. (b) & (c) Emphasizing a country and its top search category.
  8. 8. URLs Data Collection • Search Engines Choice – Google Scholar Vs. all • Van Noorden et al. survey paper in Nature 2014, shows in terms of scholarly-reach GS was ranked 1st, followed by ResearchGate 2nd, LinkedIn 3rd, Facebook 4th, Google+ 5th, Twitter 6th, ReseacherID 7th, Mendley 8th, ORCID 9th, Academia.edu 10th, BiomedExperts 11th, Microsoft Academic Search 12th – Google Vs. Bing Vs. Yahoo Vs. Naver ? • https://www.similarweb.com/website/google.com?c ompetitors=bing.com
  9. 9. URLs Data Collection- Google is famous! https://pro.similarweb.com
  10. 10. URLs Data Collection- Search Query https://pro.similarweb.com – We collected data for years 2004-2016 – Search Query • allintitle: "artificial intelligence“ • The title of a webpage is unique • Title is an important factor in search engine optimization (SEO)
  11. 11. URLs Data Collection- Web Scraping https://pro.similarweb.com – Data Miner https://data-miner.io • Google chrome extension • Free for moderate size data (free for 500 pages/month) • Using data extraction rules, i.e. recipes, we extracted URLs associated with hyperlinked tiles (query results) • No programming background required • Easy to use • May be available fully free for academics
  12. 12. Findings- GS is more popular in %
  13. 13. Findings … To quantify a concept, like AI, • we need different approaches • GTs, Google Ngrams Viewer and URLs data complements each other • GTs doesn’t show an important country for AI • Google Books Ngram Viewer is old (upto 2008) and don’t provide information of end users • We also need small and targeted local area analysis in addition to Big Data
  14. 14. Findings … URLs data manipulation provides Big Data analysis easy • We don’t need traditional hardware and software for Big Data analytics • We scraped/analyzed Big web data for free
  15. 15. Findings … • Top ranked results show that AI is popular mostly amongst professionals researchers, programmers – Top results reveal few countries – But low ranked results show AI dominance all over the globe from low income countries to high income • If AI-based systems come to dominate human society, humans will become completely dependent on digital information. • We also need to study impact of AI using theories like McDonaldization proposed by George Reitzer.
  16. 16. Thank You

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