id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-180835-sgu7ayvw	Kolic, Blas	Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic	2020-08-03		.txt	text/plain	8284	398	52	By inspecting the correlations between the NLSs and the epidemiological indicators, we find that as the pandemic intensifies -in the sense of an increasing number of cases and deaths reported daily -our emotional response diminishes, as expected from a psychophysical numbing phenomenon. Altogether, this analysis demonstrates that words indicating a subjective emotional/affective experience and words related to death are well-separated in this Twitter data, which is consistent with the notion of psychophysical numbing as an explanation for the trends and correlations observed in Figures 1 and 2 . We also showed that the psychophysical laws of Weber-Fechner and of power law perception in humans accurately model the relationship between the frequency of words related to death and the actual daily number of Covid-19 deaths in each country.	./cache/cord-180835-sgu7ayvw.txt	./txt/cord-180835-sgu7ayvw.txt