Language Preferences on Websites and in Google Searches for Human Health and Food Information

Reviewer: Bar-Ilan, Judit [This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2007/2/e18/ ] Background: While it is known that the majority of pages on the World Wide Web are in English, little is known about the preferre...

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Published in:Journal of Medical Internet Research
Main Authors: Singh, Punam Mony, Wight, Carly A, Sercinoglu, Olcan, Wilson, David C, Boytsov, Artem, Raizada, Manish N
Language:English
Published: Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada 2007
Subjects:
Online Access:http://hdl.handle.net/1807/9834
https://doi.org/10.2196/jmir.9.2.e18
id ftunivtoronto:oai:localhost:1807/9834
record_format openpolar
institution Open Polar
collection University of Toronto: Research Repository T-Space
op_collection_id ftunivtoronto
language English
topic Original Paper
Health
Internet
Google
language
indigenous
food security
immigrant
avian flu
tuberculosis
maize
schizophrenia
nutrition
linguistic
spellingShingle Original Paper
Health
Internet
Google
language
indigenous
food security
immigrant
avian flu
tuberculosis
maize
schizophrenia
nutrition
linguistic
Singh, Punam Mony
Wight, Carly A
Sercinoglu, Olcan
Wilson, David C
Boytsov, Artem
Raizada, Manish N
Language Preferences on Websites and in Google Searches for Human Health and Food Information
topic_facet Original Paper
Health
Internet
Google
language
indigenous
food security
immigrant
avian flu
tuberculosis
maize
schizophrenia
nutrition
linguistic
description Reviewer: Bar-Ilan, Judit [This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2007/2/e18/ ] Background: While it is known that the majority of pages on the World Wide Web are in English, little is known about the preferred language of users searching for health information online. Objectives: (1) To help global and domestic publishers, for example health and food agencies, to determine the need for translation of online information from English into local languages. (2) To help these agencies determine which language(s) they should select when publishing information online in target nations and for target subpopulations within nations. Methods: To estimate the percentage of Web publishers that translate their health and food websites, we measured the frequency at which domain names retrieved by Google overlap for language translations of the same health-related search term. To quantify language choice of searchers from different countries, Google provided estimates of the rate at which its search engine was queried in six languages relative to English for the terms “avian flu,” “tuberculosis,” “schizophrenia,” and “maize” (corn) from January 2004 to April 2006. The estimate was based on a 20% sample of all Google queries from 227 nations. Results: We estimate that 80%-90% of health- and food-related institutions do not translate their websites into multiple languages, even when the information concerns pandemic disease such as avian influenza. Although Internet users are often well-educated, there was a strong preference for searching for health and food information in the local language, rather than English. For “avian flu,” we found that only 1% of searches in non-English-speaking nations were in English, whereas for “tuberculosis” or “schizophrenia,” about 4%-40% of searches in non-English countries employed English. A subset of searches for health information presumably originating from immigrants occurred in their native tongue, not the language of the adopted country. However, Spanish-language online searches for “avian flu,” “schizophrenia,” and “maize/corn” in the United States occurred at only <1% of the English search rate, although the US online Hispanic population constitutes 12% of the total US online population. Sub-Saharan Africa and Bangladesh searches for health information occurred in unexpected languages, perhaps reflecting the presence of aid workers and the global migration of Internet users, respectively. In Latin America, indigenous-language search terms were often used rather than Spanish. Conclusions: (1) Based on the strong preference for searching the Internet for health information in the local language, indigenous language, or immigrant language of origin, global and domestic health and food agencies should continue their efforts to translate their institutional websites into more languages. (2) We have provided linguistic online search pattern data to help health and food agencies better select languages for targeted website publishing.
author Singh, Punam Mony
Wight, Carly A
Sercinoglu, Olcan
Wilson, David C
Boytsov, Artem
Raizada, Manish N
author_facet Singh, Punam Mony
Wight, Carly A
Sercinoglu, Olcan
Wilson, David C
Boytsov, Artem
Raizada, Manish N
author_sort Singh, Punam Mony
title Language Preferences on Websites and in Google Searches for Human Health and Food Information
title_short Language Preferences on Websites and in Google Searches for Human Health and Food Information
title_full Language Preferences on Websites and in Google Searches for Human Health and Food Information
title_fullStr Language Preferences on Websites and in Google Searches for Human Health and Food Information
title_full_unstemmed Language Preferences on Websites and in Google Searches for Human Health and Food Information
title_sort language preferences on websites and in google searches for human health and food information
publisher Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada
publishDate 2007
url http://hdl.handle.net/1807/9834
https://doi.org/10.2196/jmir.9.2.e18
genre Avian flu
genre_facet Avian flu
op_relation Pandia Search Engine News. The size of the World Wide Web. 2007 Feb 25. Pandia.com
Cooper Crystale Purvis, Mallon Kenneth P, Leadbetter Steven, Pollack Lori A, Peipins Lucy A. Cancer Internet search activity on a major search engine, United States 2001-2003. J Med Internet Res Jul 1, 2005. Vol. 7(3) p. e36.
Phillipov George, Phillips Patrick J. Frequency of health-related search terms on the Internet. JAMA Nov 5, 2003. Vol. 290(17) p. 2258-9.
Eysenbach Gunther, Köhler Christian. Health-related searches on the Internet. JAMA Jun 23, 2004. Vol. 291(24) p. 2946.
Giustini Dean. How Google is changing medicine. BMJ Dec 24, 2005. Vol. 331(7531) p. 1487-8.
Fox S. Online Health Search 2006: Most internet users start at a search engine when looking for health information online. Very few check the source and date of the information they find Pew Internet & American Life Project; Washington, DC. 2006.
Tang Hangwi, Ng Jennifer Hwee Kwoon. Googling for a diagnosis--use of Google as a diagnostic aid: internet based study. BMJ Dec 2, 2006. Vol. 333(7579) p. 1143-5.
Gordon R. Ethnologue: Languages of the World. 15th edition SIL International; Dallas, TX. 2005.
Usage and Population Statistics. 2006. Internet World Stats
Bar-Ilan J, Gutman T. How do search engines respond to some non-English queries?. J Info Sci 2005. Vol. 31(1) p. 13-28.
Epidemiology of WHO-confirmed human cases of avian influenza A(H5N1) infection. Wkly Epidemiol Rec Jun 30, 2006. Vol. 81(26) p. 249-57.
Epidemic and Pandemic Alert and Response Database. World Health Organization (WHO) World Health Organization; Geneva, Switzerland. 2006.
Organisation Mondiale de la Santé Animale (OiE) [World Organisation for Animal Health]. Animal Diseases Data: Avian Influenza World Organisation for Animal Health; Paris, France. 2006.
Harries A D, Dye C. Tuberculosis. Ann Trop Med Parasitol 2006. Vol. 100(5-6) p. 415-31.
World Health Organization (WHO). Global Tuberculosis Database: Global Health Atlas World Health Organization; Geneva, Switzerland. 2004.
World Health Organization (WHO). The World Health Report: 2001: Mental Health: New Understanding, New Hope World Health Organization; Geneva, Switzerland. 2001.
World Health Organization (WHO). Project Atlas: Resources for Mental Health and Neurological Disorders World Health Organization; Geneva, Switzerland. 2005.
Mathers C, Stein C, Ma Fat D, Rao C, Inoue M, Tomijima N. Global Burden of Disease 2000: Version 2 Methods and Results. GPE Discussion paper No. 50 World Health Organization; Geneva, Switzerland. 2002.
Food and Agricultural Organization, Statistical Division (FAOSTAT). FAOSTAT Database FAOSTAT; Rome, Italy. 2006.
Keusch Gerald T. The history of nutrition: malnutrition, infection and immunity. J Nutr Jan 2003. Vol. 133(1) p. 336S-340S.
Brin S, Page L. The anatomy of a large-scale hypertextual web search engine. Comput Networks ISDN 1998. Vol. 30(1-7) p. 107-117.
Wolfram D, Spink A, Jansen B, Saracevic T. Vox populi: the public searching of the Web. J Amer Soc Info Sci 2001. Vol. 52(12) p. 1073-1074.
Freitas-Junior H, Ribeiro-Neto B, Vale R, Laender A, Lima L. Categorization-driven cross-language retrieval of medical information. J Amer Soc Info Sci Tech 2006. Vol. 57(4) p. 501-510.
Miller Greg. Mental health in developing countries. The unseen: mental illness's global toll. Science Jan 27, 2006. Vol. 311(5760) p. 458-61.
Rahman M M. Emigration and development: the case of a Bangladeshi village. Int Migr 2000. Vol. 38(4) p. 109-30.
A Year in Review: U.S. Hispanic Internet Usage. ComScore Press Release, Comscore Networks. 2003 Nov 13
Sluyter Andrew, Dominguez Gabriela. Early maize (Zea mays L.) cultivation in Mexico: dating sedimentary pollen records and its implications. Proc Natl Acad Sci U S A Jan 24, 2006. Vol. 103(4) p. 1147-51.
Edejer T T. Disseminating health information in developing countries: the role of the internet. BMJ Sep 30, 2000. Vol. 321(7264) p. 797-800.
Bar-Ilan J. Expectations versus reality – Search engine features needed for Web research at mid 2005. Cybermetrics 2005. Vol. 9 p. Paper 2.
Eysenbach Gunther, Powell John, Kuss Oliver, Sa Eun-Ryoung. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA 2002. Vol. 287(20) p. 2691-700.
Craigie M, Loader B, Burrows R, Muncer S. Reliability of health information on the Internet: an examination of experts' ratings. J Med Internet Res Jan 17, 2002. Vol. 4(1) p. e2.
Punam Mony Singh, Carly A Wight, Olcan Sercinoglu, David C Wilson, Artem Boytsov, Manish N Raizada. Language Preferences on Websites and in Google Searches for Human Health and Food Information. J Med Internet Res 2007;9(2):e18
1438-8871
http://dx.doi.org/10.2196/jmir.9.2.e18
http://hdl.handle.net/1807/9834
op_rights © Punam Mony Singh, Carly A Wight, Olcan Sercinoglu, David C Wilson, Artem Boytsov, Manish N Raizada. Originally published in the Journal of Medical Internet Research (http://www.jmir.org, 28.06.2007). Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, including full bibliographic details and the URL (see "please cite as" above), and this statement is included.
op_rightsnorm CC-BY
op_doi https://doi.org/10.2196/jmir.9.2.e18
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spelling ftunivtoronto:oai:localhost:1807/9834 2023-05-15T15:34:19+02:00 Language Preferences on Websites and in Google Searches for Human Health and Food Information Singh, Punam Mony Wight, Carly A Sercinoglu, Olcan Wilson, David C Boytsov, Artem Raizada, Manish N 2007 87247 bytes 154442 bytes 33108 bytes 216064 bytes 125 bytes text/html text/xml application/pdf application/vnd.ms-excel image/gif http://hdl.handle.net/1807/9834 https://doi.org/10.2196/jmir.9.2.e18 en_US eng Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada Pandia Search Engine News. The size of the World Wide Web. 2007 Feb 25. Pandia.com Cooper Crystale Purvis, Mallon Kenneth P, Leadbetter Steven, Pollack Lori A, Peipins Lucy A. Cancer Internet search activity on a major search engine, United States 2001-2003. J Med Internet Res Jul 1, 2005. Vol. 7(3) p. e36. Phillipov George, Phillips Patrick J. Frequency of health-related search terms on the Internet. JAMA Nov 5, 2003. Vol. 290(17) p. 2258-9. Eysenbach Gunther, Köhler Christian. Health-related searches on the Internet. JAMA Jun 23, 2004. Vol. 291(24) p. 2946. Giustini Dean. How Google is changing medicine. BMJ Dec 24, 2005. Vol. 331(7531) p. 1487-8. Fox S. Online Health Search 2006: Most internet users start at a search engine when looking for health information online. Very few check the source and date of the information they find Pew Internet & American Life Project; Washington, DC. 2006. Tang Hangwi, Ng Jennifer Hwee Kwoon. Googling for a diagnosis--use of Google as a diagnostic aid: internet based study. BMJ Dec 2, 2006. Vol. 333(7579) p. 1143-5. Gordon R. Ethnologue: Languages of the World. 15th edition SIL International; Dallas, TX. 2005. Usage and Population Statistics. 2006. Internet World Stats Bar-Ilan J, Gutman T. How do search engines respond to some non-English queries?. J Info Sci 2005. Vol. 31(1) p. 13-28. Epidemiology of WHO-confirmed human cases of avian influenza A(H5N1) infection. Wkly Epidemiol Rec Jun 30, 2006. Vol. 81(26) p. 249-57. Epidemic and Pandemic Alert and Response Database. World Health Organization (WHO) World Health Organization; Geneva, Switzerland. 2006. Organisation Mondiale de la Santé Animale (OiE) [World Organisation for Animal Health]. Animal Diseases Data: Avian Influenza World Organisation for Animal Health; Paris, France. 2006. Harries A D, Dye C. Tuberculosis. Ann Trop Med Parasitol 2006. Vol. 100(5-6) p. 415-31. World Health Organization (WHO). Global Tuberculosis Database: Global Health Atlas World Health Organization; Geneva, Switzerland. 2004. World Health Organization (WHO). The World Health Report: 2001: Mental Health: New Understanding, New Hope World Health Organization; Geneva, Switzerland. 2001. World Health Organization (WHO). Project Atlas: Resources for Mental Health and Neurological Disorders World Health Organization; Geneva, Switzerland. 2005. Mathers C, Stein C, Ma Fat D, Rao C, Inoue M, Tomijima N. Global Burden of Disease 2000: Version 2 Methods and Results. GPE Discussion paper No. 50 World Health Organization; Geneva, Switzerland. 2002. Food and Agricultural Organization, Statistical Division (FAOSTAT). FAOSTAT Database FAOSTAT; Rome, Italy. 2006. Keusch Gerald T. The history of nutrition: malnutrition, infection and immunity. J Nutr Jan 2003. Vol. 133(1) p. 336S-340S. Brin S, Page L. The anatomy of a large-scale hypertextual web search engine. Comput Networks ISDN 1998. Vol. 30(1-7) p. 107-117. Wolfram D, Spink A, Jansen B, Saracevic T. Vox populi: the public searching of the Web. J Amer Soc Info Sci 2001. Vol. 52(12) p. 1073-1074. Freitas-Junior H, Ribeiro-Neto B, Vale R, Laender A, Lima L. Categorization-driven cross-language retrieval of medical information. J Amer Soc Info Sci Tech 2006. Vol. 57(4) p. 501-510. Miller Greg. Mental health in developing countries. The unseen: mental illness's global toll. Science Jan 27, 2006. Vol. 311(5760) p. 458-61. Rahman M M. Emigration and development: the case of a Bangladeshi village. Int Migr 2000. Vol. 38(4) p. 109-30. A Year in Review: U.S. Hispanic Internet Usage. ComScore Press Release, Comscore Networks. 2003 Nov 13 Sluyter Andrew, Dominguez Gabriela. Early maize (Zea mays L.) cultivation in Mexico: dating sedimentary pollen records and its implications. Proc Natl Acad Sci U S A Jan 24, 2006. Vol. 103(4) p. 1147-51. Edejer T T. Disseminating health information in developing countries: the role of the internet. BMJ Sep 30, 2000. Vol. 321(7264) p. 797-800. Bar-Ilan J. Expectations versus reality – Search engine features needed for Web research at mid 2005. Cybermetrics 2005. Vol. 9 p. Paper 2. Eysenbach Gunther, Powell John, Kuss Oliver, Sa Eun-Ryoung. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA 2002. Vol. 287(20) p. 2691-700. Craigie M, Loader B, Burrows R, Muncer S. Reliability of health information on the Internet: an examination of experts' ratings. J Med Internet Res Jan 17, 2002. Vol. 4(1) p. e2. Punam Mony Singh, Carly A Wight, Olcan Sercinoglu, David C Wilson, Artem Boytsov, Manish N Raizada. Language Preferences on Websites and in Google Searches for Human Health and Food Information. J Med Internet Res 2007;9(2):e18 1438-8871 http://dx.doi.org/10.2196/jmir.9.2.e18 http://hdl.handle.net/1807/9834 © Punam Mony Singh, Carly A Wight, Olcan Sercinoglu, David C Wilson, Artem Boytsov, Manish N Raizada. Originally published in the Journal of Medical Internet Research (http://www.jmir.org, 28.06.2007). Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, including full bibliographic details and the URL (see "please cite as" above), and this statement is included. CC-BY Original Paper Health Internet Google language indigenous food security immigrant avian flu tuberculosis maize schizophrenia nutrition linguistic 2007 ftunivtoronto https://doi.org/10.2196/jmir.9.2.e18 2020-06-17T11:09:55Z Reviewer: Bar-Ilan, Judit [This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2007/2/e18/ ] Background: While it is known that the majority of pages on the World Wide Web are in English, little is known about the preferred language of users searching for health information online. Objectives: (1) To help global and domestic publishers, for example health and food agencies, to determine the need for translation of online information from English into local languages. (2) To help these agencies determine which language(s) they should select when publishing information online in target nations and for target subpopulations within nations. Methods: To estimate the percentage of Web publishers that translate their health and food websites, we measured the frequency at which domain names retrieved by Google overlap for language translations of the same health-related search term. To quantify language choice of searchers from different countries, Google provided estimates of the rate at which its search engine was queried in six languages relative to English for the terms “avian flu,” “tuberculosis,” “schizophrenia,” and “maize” (corn) from January 2004 to April 2006. The estimate was based on a 20% sample of all Google queries from 227 nations. Results: We estimate that 80%-90% of health- and food-related institutions do not translate their websites into multiple languages, even when the information concerns pandemic disease such as avian influenza. Although Internet users are often well-educated, there was a strong preference for searching for health and food information in the local language, rather than English. For “avian flu,” we found that only 1% of searches in non-English-speaking nations were in English, whereas for “tuberculosis” or “schizophrenia,” about 4%-40% of searches in non-English countries employed English. A subset of searches for health information presumably originating from immigrants occurred in their native tongue, not the language of the adopted country. However, Spanish-language online searches for “avian flu,” “schizophrenia,” and “maize/corn” in the United States occurred at only <1% of the English search rate, although the US online Hispanic population constitutes 12% of the total US online population. Sub-Saharan Africa and Bangladesh searches for health information occurred in unexpected languages, perhaps reflecting the presence of aid workers and the global migration of Internet users, respectively. In Latin America, indigenous-language search terms were often used rather than Spanish. Conclusions: (1) Based on the strong preference for searching the Internet for health information in the local language, indigenous language, or immigrant language of origin, global and domestic health and food agencies should continue their efforts to translate their institutional websites into more languages. (2) We have provided linguistic online search pattern data to help health and food agencies better select languages for targeted website publishing. Other/Unknown Material Avian flu University of Toronto: Research Repository T-Space Journal of Medical Internet Research 9 2 e18