The Behavioral Inhibition System and Engagement With, and Influence By, COVID-19 and Election-Based Misinformation
Abstract
The negative impact of misinformation on public discourse and public safety is increasingly a focus of attention. From the COVID-19 pandemic to national elections, exposure to misinformation has been linked to conflicting perceptions of social, economic, and political issues, which has been found to lead to polarization, radicalization, and acts of violence at the individual and group level. While a large body of research has emerged examining the development and spread of misinformation, little has been done to examine the human processes of being exposed to, and influenced by, misinformation material online. This article uses reinforcement sensitivity theory to examine the effect of individual differences in the Behavioral Inhibition System (BIS) on the behavioral and cognitive intentions to engage in violence after exposure to misinformation online. Using an online panel sample (Mechanical Turk), and a behavioral study that involved exposure to, and interaction with, misinformation, this study found that trait BIS score impacted how much individuals engaged with misinformation, as well as their ensuing activism and radicalism toward the narratives that were depicted. This study identified that engagement with misinformation impacted intentions for activism and radicalism, as did trait BIS. However, these effects were present for both misinformation and correct information conditions. These findings highlight the importance of BIS-related processes and raise important questions about the degree to which we need to think about online influence as a general process versus specific processes that directly relate to the effect of misinformation.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 31, 2023
- Source ID
- 10.1177/08862605231194638
Entities
People
- Michael Palmieri
- Natalie Anastasio
- Neil Shortland
- Presley McGarry
Organizations
- Office of Naval Research
- University of Massachusetts Lowell