Negatively Valenced and High-Arousal News Headlines Drive Preferential Evidence Accumulation and Influence Selection Behavior

Poster Session XI

Keyword: Implicit Bias

Abstract: Through five studies, including computational modeling and fMRI, we investigated the negativity bias in news selection through a value-based decision-making framework. We found that negatively valenced, high-arousal news headlines drive preferential evidence accumualtion. Results highlight effects of both political ideology and age on the negativity bias.

• Rachael Kee (Presenting Author)
• Xuanjun Gong (Author)
• Ezgi Ulusoy (Author)
• Elizabeth Riggs (Author)
• Ziyu Zhao (Author)
• Jason Coronel (Author)
• Allison Eden (Author)
• Amber Boydstun (Author)
• Richard Huskey (Author)