Yiannakoulias, Darlington, Slavik and Benjamin (2022) Negative COVID-19 Vaccine Information on Twitter: Content Analysis
In this study we studied the different types of information about vaccines on Twitter. Our results suggests that negative vaccine information (NVI) is common
but usually not explicitly anti-vaccine.
Darlington, Yiannakoulias and Elshorbagy (2022) Changes in social vulnerability to flooding: a quasi-experimental analysis
This study found that some high flood hazard areas in the City of Calgary are in areas with lower levels of social vulnerability, and that dwelling value
has increased faster in high flood hazard areas than low flood hazard areas.
Yiannakoulias et al. (2020) Open government data, uncertainty and coronavirus: An infodemiological case study
This study was a critical investigation of quality of publicly available Covid-19 data during the first 8 months of the pandemic. Our analysis revealed that most data had little to no information value over the short term, and that these data may not be informing us about anything that helps manage individual or social risks of disease.
Yiannakoulias et al., (2019) Expressions of pro- and anti-vaccine sentiment on YouTube
In this research we analyzed anti- and pro- immunization content on YouTube and found evidence that anti-immunization content might be easy to identify using natural language processing (NLP). We also found that pro-immunization content is may be more effectively communicated when infection risk is on the rise.
Yiannakoulias, Gordon and Darlington (2020) The decision game: a serious game approach to understanding environmental risk management decisions
This research describe a method for collecting data on risk management decisions using an online decision game. We found that people who played the game adopted a role playing behaviour that suggests games can be useful for understanding risk management decisions.
Slavik et al. (2021) Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies.
In this study we analyzed Tweets from public health accounts in Canada during the first 6 months of the Covid-19 pandemic. Our results highlighted the need for public health to deliver messages consistent with local levels of risk.