The Role of Surveys in the Era of “Big Data”

Callegaro, Mario; Yang, Yuxiang

doi:10.1007/978-3-319-54395-6_23

Cited by 50 publications

(33 citation statements)

References 33 publications

(25 reference statements)

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“…This approach of revealed preferences unveils a reflexive picture of society because it allows the main concerns of citizens (and the priority ranking of those concerns) to emerge spontaneously, and it complements as such the information captured by gross domestic product. Lastly, Big Data does not suffer from non-response bias (Callegaro and Yang [ 28 ]).…”

Section: Data and Methodsologymentioning

confidence: 99%

The good, the bad and the ugly of lockdowns during Covid-19

2021

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Amidst the rapid global spread of Covid-19, many governments enforced country-wide lockdowns, with likely severe well-being consequences. In this regard, South Africa is an extreme case suffering from low levels of well-being, but at the same time enforcing very strict lockdown regulations. In this study, we analyse the causal effect of a lockdown and consequently, the determinants of happiness during the aforementioned. A difference-in-difference approach is used to make causal inferences on the lockdown effect on happiness, and an OLS estimation investigates the determinants of happiness after lockdown. The results show that the lockdown had a significant and negative impact on happiness. In analysing the determinants of happiness after lockdown, we found that stay-at-home orders have positively impacted happiness during this period. On the other hand, other lockdown regulations such as a ban on alcohol sales, a fear of becoming unemployed and a greater reliance on social media have negative effects, culminating in a net loss in happiness. Interestingly, Covid-19, proxied by new deaths per day, had an inverted U-shape relationship with happiness. Seemingly people were, at the onset of Covid-19 positive and optimistic about the low fatality rates and the high recovery rates. However, as the pandemic progressed, they became more concerned, and this relationship changed and became negative, with peoples' happiness decreasing as the number of new deaths increased.

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Section: Data and Methodsologymentioning

confidence: 99%

The good, the bad and the ugly of lockdowns during Covid-19

2021

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“…This information can be used to complement other types of data social scientists employ to test hypotheses about a range of social phenomena and social influence processes. CSS skills also are important for business analytics, marketing, and survey research (Callegaro and Yang 2018) and help students and faculty increase their employment opportunities. Big data-often described in terms of five Vs: volume, velocity, variety, veracity, and value-is typically free, can be collected quickly, and includes content with realworld applicability (Kitchin and McArdle 2016).…”

Section: Computational Data Science Skills In Psychological Researchmentioning

confidence: 99%

Teaching Computational Social Science Skills to Psychology Students: An Undergraduate Research Lab Case Study

Eiler¹,

Doyle²,

Al‐Kire³

et al. 2020

SPUR

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This article provides a case study of a student-focused research experience that introduced basic data science skills and their utility for psychological research, providing practical learning experiences for students interested in learning computational social science skills. Skills included programming; acquiring, visualizing, and managing data; performing specialized analyses; and building knowledge about open-science practices.

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“…Traditional survey methods, such as interviews and questionnaires, are expensive and labor intensive. The advent of big data from social media, search engine, and e-commerce platforms, has made culturomics a costefficient way to examine human behaviors (Callegaro & Yang 2018;Wang et al 2018). Ladle et al (2016) describe culturomics as "the study of human culture through the analysis of changes in word frequencies in enormous digital text databases."…”

Section: Introductionmentioning

confidence: 99%

“…Traditional survey methods, such as interviews and questionnaires, are expensive and labor intensive. The advent of big data from social media, search engine, and e‐commerce platforms, has made culturomics a cost‐efficient way to examine human behaviors (Callegaro & Yang 2018; Wang et al. 2018).…”

Section: Introductionmentioning

confidence: 99%

Using culturomics and social media data to characterize wildlife consumption

2021

Conservation Biology

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Wildlife provides food, medicine, clothing, and other necessities for humans, but overexploitation can disrupt the sustainability of wildlife resources and severely threaten global biodiversity. Understanding the characteristics of consumer behavior is helpful for wildlife managers and policy makers, but the traditional survey methods are laborious and time-consuming. In contrast, culturomics may more efficiently identify the features of wildlife consumption. As a case study of the culturomics approach, we examined tiger bone wine consumption in China based on social media and Baidu search engine data. Tiger bone wine is one of the most purchased tiger products; its consumption is closely related to tiger poaching, which greatly threatens wild tiger survival. We searched a popular social media website for the term "tiger bone wine" and focused on posts that were originally created from 1 January 2012 to 31 December 2018. We filtered and classified posts related to the purchase, sale, or consumption of tiger bone wine and extracted information on providers, consumption motivations, year of production, and place of origin of the tiger bone wines based on the texts and photos of these posts. We found 756 posts related to tiger bone wine consumption, 113 of which mentioned providers of tiger bone wine, including friends (53%), elder relatives (37%), peer relatives (7%), and others (3%). Out of the 756 posts, 266 indicated the motivations of tiger bone wine consumption. Tiger bone wines were consumed as a tonic (34%), medicine (23%), game product (30%), and a symbol of wealth (28%). Some posts indicated ≥2 consumption motivations. These findings were consistent with the search queries from Baidu index. Such information could help develop targeted strategies for tiger conservation. The culturomics approach illustrated by our study is a rapid and cost-efficient way to characterize wildlife consumption.

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The Role of Surveys in the Era of “Big Data”

Cited by 50 publications

References 33 publications

The good, the bad and the ugly of lockdowns during Covid-19

The good, the bad and the ugly of lockdowns during Covid-19

Teaching Computational Social Science Skills to Psychology Students: An Undergraduate Research Lab Case Study

Using culturomics and social media data to characterize wildlife consumption

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