Browsers Don't Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use
This study uses consensually provided browser history records from over 1,000 individuals, spanning over 30 million website visits
Abstract
We measure the digital impact of the initial Indian COVID-19 lockdown using an online survey coupled with consensually provided browser history records from over 1,000 individuals, spanning over 30 million website visits. Both men and women in our sample dramatically increased their internet activity during the lockdown, which reflects the heightened importance of digital access, but men鈥檚 activity increased by significantly more. Gender differences are present overall and for key categories including leisure, production, video streaming and social media. The exception is for self-investment through online learning websites and educational YouTube videos, where men and women had similar significant increases. Among full-time employed respondents, women鈥檚 lower browser usage is mainly in leisure browsing, while it is concentrated in productive activities among part-time workers and non-workers.
The lockdown also saw a significant reduction in women鈥檚 online job search, alongside a significant increase in men鈥檚, with larger effects among likely job seekers, indicating potentially persistent harm to women鈥檚 employment. The gender gap is larger among parents, consistent with increased childcare obligations as the driver. Yet in our survey, fathers self-reported significantly larger increases in childcare time than mothers. This relative increase in paternal childcare was not corroborated in partners鈥� reports or in childcare-related browser usage, which we identify leveraging machine learning methods to analyze text from website titles and YouTube video descriptions. The inconsistency within the self-reported data and contrast with the digital trace data underscore the value of accessing objective 鈥渄igital footprint鈥� records to gain insight into time use and activity.
This research is part of the Gender, Growth and Labour Markets in Low Income Countries programme
Citation
Miller, A. R., Ramdas, K. and Sungu, A. (2022). 鈥淏rowsers Don鈥檛 Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use鈥�. G2LM LIC Working Paper No. 64.