Prior research demonstrates that news-related social media posts using negative language
are re-posted more, rewarding users who produce negative content. We investigate whether …

Negativity bias predicts that individuals will attend to, learn from, and prioritize negative
news more than positive news. Drawing from the addiction components model, this cross …

Social liberals tend to be less pathogen-avoidant than social conservatives, a pattern
consistent with a model wherein ideological differences stem from differences in threat …

Growing concern about the democratic impact of automatically curated news platforms urges
us to reconsider how such platforms should be designed. We propose a theoretical …

Do people with a more pessimistic worldview also select more like-minded news that
confirms their negative—sometimes irrational—outlook on reality? This study theorizes that …

Purpose Enterprise social media (ESM) are expressive spaces where users exchange
emotional workplace communication. While some studies have explored how positive …

Purpose The massive amount of available information and functionality of the Internet makes
selective information seeking effortless. This paper aims to understand the selective …

Social media influencers (SMIs) are defined as regular individuals who become well-known
via self-branding on social media. Youth use content posted by SMIs not just for …

The growing political polarization of the American electorate over the last several decades
has been widely studied and documented. During the administration of President Donald …

Background Eye-tracking-based attention research has shown attentional biases toward
dysphoric and away from positive stimuli in depression. However, most research used …