Social media, disclosure and well-being in COVID-19

My recommended reading for students looking to explore disclosure on social media and its relationship with well-being. Created this for a student today, but could be helpful for others. Image from The Washington Post I’d say read the first item under each heading, and go to the second one only if it further interests you.... Continue Reading →

How to edit Wikipedia

I was helping a friend of mine figure out how Wikipedia works, and I made this self-learning tutorial. It compares stuff you can do with the source editing and the visual editing mode, and when you'd want to prefer the former over the latter (usually when you want to reuse one of the popular templates,... Continue Reading →

The language of regional well-being

Jaidka, K., Giorgi, S., Schwartz, H. A., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2020). Estimating geographic subjective well-being from twitter: a comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences. In the COVID-19 era that we are living in today, social media posts can help us... Continue Reading →

The #StayHomeforSG dashboard launch

Social media in COVID-19: building resilience or sowing stress? When the circuit-breaker came into effect in April 2020, Singaporeans suspended their daily lives to check the spread of the COVID-19 virus. Social media and computer-mediated-communication became the lifeline for communication as well as breaking news. However, social media was considered by many to be a... Continue Reading →

The SMOL Project

Image credits: Swati Vats for the SMOL project. Every story has a beginning. This post is the beginning of the SMOL Project. The Social Media, Online behavior and Language project focuses on online human behavior and computer mediated communication. One day, we'll have our own spiders, bots, crawlers, apps, and python (scripts). SMOL is also... Continue Reading →

Stats 101: Where to stat?

See what I did there? If you're anything like me, you're finding your way backwards into stats after spending a lifetime thinking that all there was to the field was mean, median, mode, sometimes cumulative frequency, and those are things you left behind in high school. Newsflash: not only is stats underlying every quantitative prediction... Continue Reading →

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