Eric Newburger, Niklas Elmqvist
Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics
IEEE transactions on visualization and computer graphics
given misinformed negative ramifications finding optimal corrective techniques become key focus research recent years several divergent correction formats proposed superior based distinct theoretical frameworks however correction formats compared controlled settings suggested superiority format remains speculative across four experiments current paper investigated altering format corrections influences peoples subsequent reliance misinformation examined whether mythfirst factfirst factonly mythonly correction formats effective using range different materials participant pools experiments 1 2 focused climate change misconceptions participants qualtrics online panel members students taking part massive open online course respectively experiments 3 4 used misconceptions diverse set topics amazon mechanical turk crowdworkers university student participants found impact correction beliefs inferential reasoning largely independent specific format used clearest evidence potential relative superiority emerged experiment 4 found mythfirst format effective myth correction factfirst format delayed retention interval however general appeared long key ingredients correction presented format make considerable difference suggests simply providing corrective information regardless format far important correction presented