| Literature DB >> 31481621 |
Stuart Soroka1,2, Patrick Fournier3, Lilach Nir4,5.
Abstract
What accounts for the prevalence of negative news content? One answer may lie in the tendency for humans to react more strongly to negative than positive information. "Negativity biases" in human cognition and behavior are well documented, but existing research is based on small Anglo-American samples and stimuli that are only tangentially related to our political world. This work accordingly reports results from a 17-country, 6-continent experimental study examining psychophysiological reactions to real video news content. Results offer the most comprehensive cross-national demonstration of negativity biases to date, but they also serve to highlight considerable individual-level variation in responsiveness to news content. Insofar as our results make clear the pervasiveness of negativity biases on average, they help account for the tendency for audience-seeking news around the world to be predominantly negative. Insofar as our results highlight individual-level variation, however, they highlight the potential for more positive content, and suggest that there may be reason to reconsider the conventional journalistic wisdom that "if it bleeds, it leads."Entities:
Keywords: negativity bias; news coverage; political communication
Mesh:
Year: 2019 PMID: 31481621 PMCID: PMC6754543 DOI: 10.1073/pnas.1908369116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Fig. 1.The estimated effect of news story tone on RMSSD, all countries combined.
Fig. 2.The estimated effect of by-second news story tone on nSCL, 20 s into news stories, all countries combined.
Fig. 3.The estimated effect of news story tone on RMSSD, by country. Asterisks indicate the countries for which the mean coefficient is significantly greater than zero (based on a 1-tailed t test).
Fig. 4.The estimated effect of by-second news story tone on nSCL, 20 s into news stories, by country. Asterisks indicate the countries for which the mean coefficient is significantly greater than zero (based on a 1-tailed t test).