Data for "Discovering Why People Believe Disinformation about Healthcare"

Data measuring how people decide if social media post about healthcare is honest or dishonest. The study was inductive and was designed to discover factors useful to participants for discerning between honest and dishonest posts. The bulk of the data consist of open-ended responses which were coded by the author into 62 different codes. Six scales were also measured: automatic vs thoughtful processing; media locus of control; social media consumption; social media confidence; social media sharing; risk propensity. Demographic variables measured were gender, age, ethnicity, and highest level of school a parent had completed. The data set contains .csv, .xlsx, and .pdf files.