2020
DOI: 10.1016/j.paid.2019.109675
|View full text |Cite
|
Sign up to set email alerts
|

Individual-level differences in negativity biases in news selection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
26
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 29 publications
(30 citation statements)
references
References 41 publications
1
26
0
Order By: Relevance
“…We do not have strong expectations about whether domestic Canadian COVID-19 information is more or less likely to be propagated by Canadians. On one hand, the pandemic in the United States has been more severe than in Canada which, given strong preferences for negative news consumption and sharing (Bachleda et al, 2020), may mean that Canadians have spent even more time sharing information from the U.S. On the other hand, Canadians may be more likely to focus on how COVID-19 is spreading in their communities and thus prefer local information (something that has been documented more generally on social media, e.g., Al-Rawi, 2017). Legitimate information about COVID-19 also shares space with misinformation in social media spaces, and has been often promoted by right-wing news outlets in the U.S. (Motta et al, 2020).…”
Section: Us Information Influence Over Canadamentioning
confidence: 99%
“…We do not have strong expectations about whether domestic Canadian COVID-19 information is more or less likely to be propagated by Canadians. On one hand, the pandemic in the United States has been more severe than in Canada which, given strong preferences for negative news consumption and sharing (Bachleda et al, 2020), may mean that Canadians have spent even more time sharing information from the U.S. On the other hand, Canadians may be more likely to focus on how COVID-19 is spreading in their communities and thus prefer local information (something that has been documented more generally on social media, e.g., Al-Rawi, 2017). Legitimate information about COVID-19 also shares space with misinformation in social media spaces, and has been often promoted by right-wing news outlets in the U.S. (Motta et al, 2020).…”
Section: Us Information Influence Over Canadamentioning
confidence: 99%
“…These differences notwithstanding, negativity and incivility are in the eye of the beholder (Lipsitz & Geer, 2017; Sigelman & Kugler, 2003), so much so that different individuals might react differently to them. Beyond established factors such as, for example, individual resources (e.g., Fridkin & Kenney, 2004) or party identification (Ansolabehere & Iyengar, 1995), recent research claims that the effects of attacks depend on voters’ personality and their attitudes towards political discourse (Fridkin & Kenney, 2011, 2019), in line with the broader research highlighting the centrality of “negativity bias” in information selection (e.g., Bachleda et al, 2020). Weinschenk and Panagopoulos (2014) show that respondents high in extraversion are more likely to be mobilized by negative campaign messages; inversely, respondents high in agreeableness can be discouraged to participate when exposed to negativity.…”
Section: Introductionmentioning
confidence: 95%
“…The extent to which this cross-sectional variation reflects durable individual-level differences, however, is unclear. We can point to recent work that finds a correlation in the same individuals' preferences for negative headlines at two different points in time (Bachleda et al 2020), or work connecting (ostensibly durable) learning biases to news consumption (Soroka et al N.d.). There also is a considerable body of work arguing that certain types of negativity biases are related to political conservatism (Hibbing et al 2014;Shook and Fazio 2009)a finding that could be interpreted to suggest, at least indirectly, that individuals have durable valence-based asymmetries.…”
Section: Valence-based Asymmetries Vary Across Individualsmentioning
confidence: 88%
“…The latter group is somewhat larger, as we might expect. But there is variation, and most important for our purposes, that variation is linked to news consumption as well (Bachleda et al 2020;Soroka et al N.d.).…”
Section: Valence-based Asymmetries Vary Across Individualsmentioning
confidence: 99%