This study investigates how political elites influence citizens' search and evaluation of online political information.
Through innovative experiments, the research demonstrates that recommendations from political figures significantly impact public behavior on social media platforms.
Data & Methods:
• Mixed-methods approach combining surveys with controlled experiments
• Analysis across multiple digital platforms including Twitter and Facebook
• Sample representing diverse demographics from urban centers
Key Findings:
• Political elites have greater sway than peers in directing information searches
• Algorithmic curation amplifies elite influence by prioritizing their content
• Citizens demonstrate systematic deference to elite recommendations regardless of source credibility
Implications for political science research include a clearer understanding of how digital media shapes public knowledge acquisition and reinforces hierarchical information flows. The findings underscore the need for scholars to examine algorithmic bias in tandem with social hierarchies.
| Social Influences on Online Political Information Search and Evaluation was authored by Douglas Pierce, David P. Redlawsk and William W. Cohen. It was published by Springer in Pol. Behav. in 2017. |
