Googling the news: Opportunities and challenges in studying news events through Google Search

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Googling the news : Opportunities and challenges in studying news events through Google Search. / Ørmen, Jacob.

In: Digital Journalism, Vol. 4, No. 1, 2016, p. 107-124.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Ørmen, J 2016, 'Googling the news: Opportunities and challenges in studying news events through Google Search', Digital Journalism, vol. 4, no. 1, pp. 107-124. https://doi.org/10.1080/21670811.2015.1093272

APA

Ørmen, J. (2016). Googling the news: Opportunities and challenges in studying news events through Google Search. Digital Journalism, 4(1), 107-124. https://doi.org/10.1080/21670811.2015.1093272

Vancouver

Ørmen J. Googling the news: Opportunities and challenges in studying news events through Google Search. Digital Journalism. 2016;4(1):107-124. https://doi.org/10.1080/21670811.2015.1093272

Author

Ørmen, Jacob. / Googling the news : Opportunities and challenges in studying news events through Google Search. In: Digital Journalism. 2016 ; Vol. 4, No. 1. pp. 107-124.

Bibtex

@article{e32de4f21a444372bde1085dddd83404,
title = "Googling the news: Opportunities and challenges in studying news events through Google Search",
abstract = "Search engines provide a window into the changing association between websites and keywords across cultures and countries and over time. As such, they offer journalism and news researchers an opportunity to study how search engines, in this case Google, mediate news events and stories online. However, search results are not straightforward to study. Since search results are made in the act of searching and will have to be retrieved from Google Search in real-time, there is a range of different ontological and methodological issues related to this data source. This paper addresses these issues by discussing how factors in the search algorithm can be used proactively to study variations across searchers and in time. The paper identifies various endogenous and exogenous factors in the search algorithm one has to pay attention to and discusses ways to archive search results accordingly. Through a small case study, ways to work with the influence of endogenous factors (keywords, language settings, geo-location, Web history and clicking behaviour) and mitigate the effects of the exogenous factors (experimentation and randomisation) are suggested. Then, a new approach to studying search results is put forward, which builds on purposeful sampling of real-world participants or constructed research profiles. Finally, perspectives for news and journalism scholars in studying algorithmically generated content in a broader context are offered.",
keywords = "Faculty of Humanities, algorithm, Google, news event, personalisation, search results",
author = "Jacob {\O}rmen",
year = "2016",
doi = "10.1080/21670811.2015.1093272",
language = "English",
volume = "4",
pages = "107--124",
journal = "Digital Journalism",
issn = "2167-0811",
publisher = "Routledge",
number = "1",

}

RIS

TY - JOUR

T1 - Googling the news

T2 - Opportunities and challenges in studying news events through Google Search

AU - Ørmen, Jacob

PY - 2016

Y1 - 2016

N2 - Search engines provide a window into the changing association between websites and keywords across cultures and countries and over time. As such, they offer journalism and news researchers an opportunity to study how search engines, in this case Google, mediate news events and stories online. However, search results are not straightforward to study. Since search results are made in the act of searching and will have to be retrieved from Google Search in real-time, there is a range of different ontological and methodological issues related to this data source. This paper addresses these issues by discussing how factors in the search algorithm can be used proactively to study variations across searchers and in time. The paper identifies various endogenous and exogenous factors in the search algorithm one has to pay attention to and discusses ways to archive search results accordingly. Through a small case study, ways to work with the influence of endogenous factors (keywords, language settings, geo-location, Web history and clicking behaviour) and mitigate the effects of the exogenous factors (experimentation and randomisation) are suggested. Then, a new approach to studying search results is put forward, which builds on purposeful sampling of real-world participants or constructed research profiles. Finally, perspectives for news and journalism scholars in studying algorithmically generated content in a broader context are offered.

AB - Search engines provide a window into the changing association between websites and keywords across cultures and countries and over time. As such, they offer journalism and news researchers an opportunity to study how search engines, in this case Google, mediate news events and stories online. However, search results are not straightforward to study. Since search results are made in the act of searching and will have to be retrieved from Google Search in real-time, there is a range of different ontological and methodological issues related to this data source. This paper addresses these issues by discussing how factors in the search algorithm can be used proactively to study variations across searchers and in time. The paper identifies various endogenous and exogenous factors in the search algorithm one has to pay attention to and discusses ways to archive search results accordingly. Through a small case study, ways to work with the influence of endogenous factors (keywords, language settings, geo-location, Web history and clicking behaviour) and mitigate the effects of the exogenous factors (experimentation and randomisation) are suggested. Then, a new approach to studying search results is put forward, which builds on purposeful sampling of real-world participants or constructed research profiles. Finally, perspectives for news and journalism scholars in studying algorithmically generated content in a broader context are offered.

KW - Faculty of Humanities

KW - algorithm

KW - Google

KW - news event

KW - personalisation

KW - search results

UR - http://www.tandfonline.com/doi/pdf/10.1080/21670811.2015.1093272

U2 - 10.1080/21670811.2015.1093272

DO - 10.1080/21670811.2015.1093272

M3 - Journal article

VL - 4

SP - 107

EP - 124

JO - Digital Journalism

JF - Digital Journalism

SN - 2167-0811

IS - 1

ER -

ID: 146207521