Using Twitter data for demographic research

Yıldız, Dilek; Munson, Jo; Vitali, Agnese; Tinati, Ramine; Holland, Jennifer

doi:10.4054/demres.2017.37.46

Cited by 31 publications

(32 citation statements)

References 23 publications

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“…Notwithstanding that, previous research has shown that biases can be modeled and filtered out using statistical approaches, in particular when social media data can be calibrated with data from representative surveys (Yildiz et al. ; Zagheni et al. , ).…”

Section: Introductionmentioning

confidence: 99%

“…However, a major issue with these data is that they are not representative of underlying populations, and thus can lead to biased inference. Notwithstanding that, previous research has shown that biases can be modeled and filtered out using statistical approaches, in particular when social media data can be calibrated with data from representative surveys (Yildiz et al 2017;Zagheni et al 2014Zagheni et al , 2017.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Hurricane Maria on Out‐migration from Puerto Rico: Evidence from Facebook Data

Alexander

Polimis²,

Zagheni

2019

Population & Development Rev

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Hurricane Maria on Out‐migration from Puerto Rico: Evidence from Facebook Data

Alexander

Polimis²,

Zagheni

2019

Population & Development Rev

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“…Another limitation is the lack of individual-level demographic data for Twitter users. Studies have addressed this limitation by using pattern recognition techniques to infer the demographic characteristics of users [34]. Nevertheless, there are clear benefits in using this new source of data.…”

Section: Digital Traces From Social Mediamentioning

confidence: 99%

Demography in the Digital Era: New Data Sources for Population Research

Alburez-Gutiérrez

Aref

Gil-Clavel

et al. 2019

Preprint

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The spread of digital technologies and the increased access to the internet has contributed to the production and accumulation of unprecedented quantities of data about human behavior. Demographers, who have a long-standing interest in issues related to data and data quality, are in an ideal position to make sense of this new information. This paper discusses three ways in which the Data Revolution has created novel sources of data for demographic research. It discusses the unique technical and ethical challenges posed by these data sources and the opportunities they provide for understanding historical and contemporary demographic dynamics around the world.

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“…Notwithstanding that, previous research has shown that biases can be modeled and filtered out using statistical approaches, in particular when social media data can be 'calibrated' with data from representative surveys (Yildiz et al, 2017;Zagheni et al, 2014Zagheni et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

The impact of Hurricane Maria on out-migration from Puerto Rico: Evidence from Facebook data

Alexander¹,

Zagheni²,

Polimis³

2019

Preprint

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Natural disasters such as hurricanes can cause substantial population out-migration. However, the magnitude of population movements is difficult to estimate using only traditional sources of migration data. We utilize data obtained from Facebook's advertising platform to estimate out-migration from Puerto Rico in the months after Hurricane Maria. We find evidence to indicate a 17.0% increase in the number of Puerto Rican migrants present in the US over the period October 2017 to January 2018. States with the biggest increases were Florida, New York and Pennsylvania, and there were disproportionately larger increases in the 15-30 age groups and for men compared to women. Additionally, we find evidence of subsequent return migration to Puerto Rico over the period January 2018 to March 2018. These results illustrate the power of complementing social media and traditional data to monitor demographic indicators over time, particularly after a shock, such as a natural disaster, to understand large changes in population characteristics.

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Using Twitter data for demographic research

Cited by 31 publications

References 23 publications

The Impact of Hurricane Maria on Out‐migration from Puerto Rico: Evidence from Facebook Data

The Impact of Hurricane Maria on Out‐migration from Puerto Rico: Evidence from Facebook Data

Demography in the Digital Era: New Data Sources for Population Research

The impact of Hurricane Maria on out-migration from Puerto Rico: Evidence from Facebook data

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