Big Data and Gender in the Age of COVID-19: A Brief Series from UC San Diego

Topic: Big Data
Type: Knowledge Brief
Author: Nabamallika Dehingia, Anita Raj Date: January 2021

Understanding the gendered effects of the COVID-19 pandemic is challenging, especially due to limitations in data collection.

Big data can help fill these data gaps when traditional data is lacking or unavailable by providing unique insights into a wide range of issues affecting women and girls.

Researchers from the Center on Gender Equity and Health at the University of California at San Diego (UC San Diego) have undertaken a series of briefs that analyze big data — such as, Twitter data and Google Trends — to highlight key gendered issues during the pandemic within select country contexts and to offer a “how-to” section for replication of these analyses in any country context. For each brief in the series, researchers provide reproducible codes along with a description of the methodology. Briefs will be published once a month. This work was supported by a grant to UC San Diego from the Bill and Melinda Gates Foundation.

Read Brief #1: Mining Twitter Data to Identify Topics of Discussion by Indian Feminist Activists.

Read Brief #2: Using Google Trends Data to Assess Reproductive Health Needs in Nigeria During COVID-19

Read Brief #3: Trends in online misogyny before and during the COVID-19 pandemic: Analysis of Twitter data from five south-Asian countries

Read Brief #4: Topic Modeling of Twitter Data to Identify Issues Impacting Women and Girls’ Education During the COVID-19 Pandemic

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