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OPINION
Perspectives on Science & Policy

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BEYOND CHERRY-PICKING
A Orben & AK Przybylski
January 2019
Behavioural scientists have long assumed data analysis to be automatically objective: that they could open a dataset, ‘have a look at the data’ and report the results they find. Our paper shows that doing this, especially when using powerful large-scale datasets, will produce many significant results that demarcate non-existent effects (‘false positives’), misleading the scientific literature and social policy in the process.


WE WON'T KNOW IF SCREEN TIME IS A HAZARD UNTIL FACEBOOK COMES CLEAN
AK Przybylski & P Etchells
January 2019
Facebook's research app shows big tech can't be trusted to conduct research on its users. To get real answers about how tech impacts us, social media firms need to give their data to external scientists
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