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The Global Resonance of Human Rights: What Google Trends Can Tell Us

Published online by Cambridge University Press:  19 April 2023

GEOFF DANCY*
Affiliation:
University of Toronto, Canada
CHRISTOPHER J. FARISS*
Affiliation:
University of Michigan, United States
*
Geoff Dancy, Associate Professor, Department of Political Science, University of Toronto, Canada, geoff.dancy@utoronto.ca.
Christopher J. Fariss, Assistant Professor, Department of Political Science, University of Michigan, United States, cfariss@umich.edu.
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Abstract

Where is the human rights discourse most resonant? We use aggregated cross-national Google search data to test two divergent accounts of why human rights appeal to some populations but not others. The top-down model predicts that nationwide interest in human rights is attributable mainly to external factors such as foreign direct investment, transnational NGO campaigns, or international legalization, whereas the bottom-up model highlights the importance of internal factors such as economic growth and persistent repression. We find more evidence for the latter model: not only is interest in human rights more concentrated in the Global South, but the discourse is also most resonant where people face regular state violence. In drawing these inferences, this article confronts high-level debates over whether human rights will remain relevant in the future, and whether the discourse still animates counter-hegemonic modes of resistance. The answer to both questions, our research suggests, is “yes.”

Information

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Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Pairwise Comparisons of Relative Search Term RatesNote: In each plot, the purple line represents the higher searched term relative to the green line that represents the lower searched term. Moving from left to right, in the top-left panel, the term “time” is searched more often than “war.” In the top-middle panel, the term “war” is searched more than “god,” and so on. The term “human rights” is searched slightly more than the terms “terrorism” and “malaria,” and more often than the term “injustice.”

Figure 1

Figure 2. Global Weekly Search Rates from Google Trends for Five Language Groups (2015–19)Note: Absolute comparisons of the global rate are valid within each figure but not between figures because of the min–max transformation described above (95% CI). Relative comparisons of change in the trend over time are possible between panels. Note that the human rights topic (lower right panel) pools searching across language group. In Section C of the Supplementary Material, we present global trends for other 5-year periods: 2012–16, 2013–17, and 2014–28.

Figure 2

Figure 3. Map of Google Search Rates for “Human Rights” in the English LanguageNote: Darker colors indicate a higher relative rate of searching compared to other countries conducting the same search. The rectangular projection (i.e., Plate Carrée projection) is defined by equally spaced parallels, equally spaced straight meridians, and is true to scale at 0 latitude.

Figure 3

Figure 4. Rate of Google Searches for “Human Rights” in the English Language across Country-Weeks, 2015–19Note: Top 1–12 countries displayed in descending order.

Figure 4

Figure 5. Map of Google Search Rates for “Derechos Humanos” in the Spanish LanguageNote: Darker colors indicate a higher relative rate of searching compared to other countries conducting the same search. The rectangular projection (i.e., Plate Carrée projection) is defined by equally spaced parallels, equally spaced straight meridians, and is true to scale at 0 latitude.

Figure 5

Figure 6. Rate of Google Searches for “Derechos Humanos” in the Spanish Language across Country-Weeks, 2015–19Note: Top 1–12 countries displayed in descending order.

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Figure 7. Coefficient Plot of Results from Regression Models with Language Fixed EffectsNote: The search mean, search median, and search max dependent variables are measures of the yearly mean, median, or max of the country-week search rate value. Independent variables are measured annually for each country-year unit (2015–19). Lines represent 90% and 95% confidence intervals.

Figure 7

Figure 8. Human Rights Survey ValidationNote: We compare country-level averages of subject response rates by question across two surveys for their most recent waves for LAPOP in the top row (administered in 2016–17) and the World Values Survey wave 7 in the bottom row (administered in 2017–20). We highlight and compare Guatemala (green) and Argentina (pink). Guatemalans are at the top of the list for use of the internet as a source of information generally, and information about political events.

Figure 8

Figure 9. Google Search ProportionsNote: Google search (dark blue) dominates all other search engines (all other colors) for all regions of the world. In Guatemala, Google accounts for approximately 94.5%–98.5% of search requests. Data are taken from the statcounter Globalstats website: https://gs.statcounter.com/search-engine-market-share/all/guatemala#monthly-201301-201912 (last accessed: February 12, 2021).

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Figure 10. Related Co-occurring Search Queries and Search Topics for Guatemala (Top Row) and Relative Search Rates by City and Region (Bottom Row)Note: Rates are relative to 100 for human rights as a topic (left panel) and the search term “derechos humanos.” A google “query” is equivalent to a “search term” as we have used the term and is language specific. Topics are based on bundles of related search terms and are language agnostic. Google does not provide full information about the process by which they create topics, so we have focused most of our analysis on natural language search terms (queries).

Figure 10

Table 1. Country-Year Regression Analysis with Language Fixed Effects

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