Exploring the neurophysiological basis of misinformation: A behavioral and neural complexity analysis

Area of Science:

• Social Sciences
• Neuroscience
• Public Health

Background:

• Misinformation on social media significantly impacts public health, political discourse, and social cohesion.
• Effective interventions are needed to mitigate the spread of misinformation and understand its cognitive effects.

Purpose of the Study:

• To evaluate the efficacy of a World Health Organization (WHO) infodemic intervention on misinformation processing.
• To explore the neural mechanisms underlying information processing changes after the intervention using electroencephalogram (EEG).

Main Methods:

• 77 university students were randomized into an intervention group (WHO infodemic campaign) or a control group (healthy lifestyle campaign).
• Participants rated tweets (manipulated and non-manipulated) for sharing likelihood, verification, and truthfulness before and after the intervention.
• Electroencephalogram (EEG) data were collected to measure neural complexity via Sample Entropy (SampEn).

Main Results:

• The intervention group showed significantly reduced intention to share and perceived truthfulness of tweets post-intervention.
• The control group exhibited no significant changes in information processing behaviors.
• EEG analysis revealed higher SampEn scores in the experimental group, indicating increased neural complexity and more uniform activation patterns.

Conclusions:

• The WHO infodemic intervention effectively enhanced critical evaluation of information, demonstrated by behavioral and neurophysiological changes.
• Passive, less demanding campaigns can foster critical thinking and information discernment.
• Combining behavioral and neurophysiological measures offers novel insights into combating misinformation and enhancing digital literacy.