McLoughlin, K. L., & Brady, W. J. (2023).
Current Opinion in Psychology, 101770.
Abstract
Human attention biases toward moral and emotional information are as prevalent online as they are offline. When these biases interact with content algorithms that curate social media users’ news feeds to maximize attentional capture, moral and emotional information are privileged in the online information ecosystem. We review evidence for these human-algorithm interactions and argue that misinformation exploits this process to spread online. This framework suggests that interventions aimed at combating misinformation require a dual-pronged approach that combines person-centered and design-centered interventions to be most effective. We suggest several avenues for research in the psychological study of misinformation sharing under a framework of human-algorithm interaction.
Here is my summary:
This research highlights the crucial role of human-algorithm interactions in driving the spread of misinformation online. It argues that both human attentional biases and algorithmic amplification mechanisms contribute to this phenomenon.
Firstly, humans naturally gravitate towards information that evokes moral and emotional responses. This inherent bias makes us more susceptible to engaging with and sharing misinformation that leverages these emotions, such as outrage, fear, or anger.
Secondly, social media algorithms are designed to maximize user engagement, which often translates to prioritizing content that triggers strong emotions. This creates a feedback loop where emotionally charged misinformation is amplified, further attracting human attention and fueling its spread.
The research concludes that effectively combating misinformation requires a multifaceted approach. It emphasizes the need for interventions that address both human psychology and algorithmic design. This includes promoting media literacy, encouraging critical thinking skills, and designing algorithms that prioritize factual accuracy and diverse perspectives over emotional engagement.
