A Natural Experiment Investigating The Impact Of Nudging On Filter Bubbles and Information Diversity

Mareike Möhlmann · Ola Henfridsson · Niam Yaraghi

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Decision-Making and Behavioral Economics Recommender Systems and Techniques Misinformation and Its Impacts

Abstract

While the amount of information available has exponentially increased, our cognitive abilities to process information have not improved. Hence, social media platforms employ algorithmic filtering to keep information load at manageable levels. Algorithmic filtering leads to algorithmic distortion, creating phenomena such as filter bubbles and echo chambers resulting in information blindness. In this paper, we investigate whether nudging presents a valuable approach to tackle this problem. Through a natural experiment and a quantitative study on clickstream data, we investigate the impact of nudging on information diversity. We also answer a secondary question on how to design nudges to enhance their effectiveness.

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