Correction: Well-being through the lens of the internet

Algan, Yann; Murtin, Fabrice; Beasley, Elizabeth; Higa, Kazuhito; Senik, Claudia

doi:10.1371/journal.pone.0211586

Cited by 13 publications

(7 citation statements)

References 1 publication

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“…On the other hand, working with Google Trends challenges researchers since the value of the series obtained directly from Google Trends is difficult to interpret, and this value on a given day cannot be compared between terms since they are normalized to the maximum value by term. In this study [324], researchers cover 300 weeks from January 6, 2008, to January 4, 2014. Results reveal that happiness is associated with job security, financial security (b4), family life (b2), and leisure determinants (b3).…”

Section: Google Trendsmentioning

confidence: 99%

Measuring objective and subjective well-being: dimensions and data sources

Voukelatou

Gabrielli

Miliou

et al. 2020

Int J Data Sci Anal

178

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Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the overall measurement of well-being, the objective and the subjective well-being. Both approaches, as well as their relevant dimensions, have been traditionally captured with surveys. During the last decades, new data sources have been suggested as an alternative or complement to traditional data. This paper aims to present the theoretical background of well-being, by distinguishing between objective and subjective approaches, their relevant dimensions, the new data sources used for their measurement and relevant studies. We also intend to shed light on still barely unexplored dimensions and data sources that could potentially contribute as a key for public policing and social development.

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Section: Google Trendsmentioning

confidence: 99%

Measuring objective and subjective well-being: dimensions and data sources

Voukelatou

Gabrielli

Miliou

et al. 2020

Int J Data Sci Anal

178

View full text Add to dashboard Cite

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“…The basic idea of this paper is that we use search frequencies on internet for related keywords to measure subjective environmental concern among citizens of a territory. We adopt the approach of Algan et al (2016) to construct an observable indicator of environmental concern.…”

Section: Methodsmentioning

confidence: 99%

“…Stephens- Davidowitz (2014) uses online search data to model racial animus in the United States. Algan et al (2016) uses online search activity to build an indicator of well-being in the United States. Likewise, in the finance literature Da et al (2011), Vlastakis and Markellos (2012) and Chen et al (2016) use online search activity to study investor attention or investor information demand.…”

Section: Introductionmentioning

confidence: 99%

Big Data Measures of Environmental Concern

Ho,

2023

JABE

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Environmental concern is a subjective state of society and researchers have typically relied on survey data to measure it. However, survey-based methods only capture a snapshot of it at the time and place the surveys were conducted. To overcome these problems, we develop an observable indicator that allows us to study environmental concern over time and across territories based on big data. The indicator composes of keyword groups that fit with the environmental concern measures revealed by a large-scale survey. We find that keywords associated with climate change, water pollution and waste management are the strongest predictors of environmental concern. To the best of our knowledge, our paper is the first to use online search data to capture subjective environmental concern.

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“…Google Trends is widely applied in a market analysis and is also appropriate to scientific research for gather data on a public interest (e.g., Algan et al, 2019;Dehkordy et al, 2014). The Google Trends tool allows the researcher to quantitatively map selected terms and keywords and to determine the information-seeking behaviour of internet users on the web.…”

Section: Methodsmentioning

confidence: 99%

Towards an Inclusive Society: Review of Google Trends Data of User Interest in the Deaf Comparing to the Blind and the Disabled

Raišienė

Gardziulevičienė²,

Raišys³

et al. 2022

STEPP

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The COVID-19 pandemic has brought great difficulties for the deaf, the blind and people with disabilities in general, in addition to the difficulties of everyday life. This study aims to examine the public interest in the social integration of the deaf and hard of hearing community during the pandemic and the pre-pandemic period in the context of an inclusive society. The empirical study is based on the analysis of statistical data provided by Google Trends, which is a big data analysis, relative measurement and information visualisation tool that allowed to get insight on gaps and inconstancy of information seekers’ interest within categories of science, people and society, law and government, and health. The study encourages researchers and social policy makers to pay extra attention to the social inclusion of the deaf, which, according to the research data, worsened during the pandemic more than other groups of the disabled.

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Correction: Well-being through the lens of the internet

Cited by 13 publications

References 1 publication

Measuring objective and subjective well-being: dimensions and data sources

Measuring objective and subjective well-being: dimensions and data sources

Big Data Measures of Environmental Concern

Towards an Inclusive Society: Review of Google Trends Data of User Interest in the Deaf Comparing to the Blind and the Disabled

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