382 individuals participated in an experimental survey assessing the impact of warnings on fake news sharing intentions. The dataset was created by Kholekile L. Gwebu to test a theoretical model based on cognitive dissonance and trust. It likely contains variables measuring intention to share, cognitive trust, emotional trust, and confirmation bias.
Use Cases
- Modeling intention to share fake news based on trust variables mentioned in the description
- Analyzing the mediating effect of warnings on cognitive and emotional trust
- Testing the boundary condition of confirmation bias on warning effectiveness
- Evaluating psychological mechanisms like cognitive dissonance in misinformation spread
Strengths
- Dataset size is explicitly 382 individual survey responses
- Based on a controlled experimental design to test a specific theoretical model
- Open Access (green) license facilitates reuse
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is known, but the number of variables and their exact definitions are unknown
- Data may reflect bias inherent to the specific experimental survey sample
Provenance
- Source
- Kholekile L. Gwebu
- Collection Method
- Experimental survey data