3 ms·
I just don't know where the cutoff is for professional or habitual liars. There are many ways to mislead, cherry picking data, methodological errors, straight u
by Terribledactyl 10y ago
I just don't know where the cutoff is for professional or habitual liars. There are many ways to mislead, cherry picking data, methodological errors, straight up confusion and overwhelming technical data. Do we need to model the frequency of offense or severity?
I'm not really going for the whole slippery slope aspect, more I feel like I'm miscategorizing the problem.
Maybe the metadata on misinformation looks different from the real deal. How quickly does it spread, and through which people? No need to actually judge the content.