Paper Number
ECIS2026-1201
Paper Type
SP
Abstract
Societal polarization has reached alarming levels across the world, driven by biased media reporting, social media echo chambers, and affective partisanship. However, emerging technologies such as artificial intelligence (AI) may offer novel opportunities to mitigate this trend. This research-in-progress paper explores whether AI-generated balanced content synthesized from biased narratives from ideologically diverse news sources and presented in a non-confrontational tone, can help bridge ideological divides and reduce polarization. Using two behavioral experiments, it will examine why, how, and under what circumstances can such AI-generated content mitigate ideological and affective polarization.
Recommended Citation
Bhattacherjee, Anol and Ray, Arindam, "Can AI-Generated Content Be An Antidote To Ideological and Affective Polarization?" (2026). ECIS 2026 Proceedings. 1.
https://aisel.aisnet.org/ecis2026/conf_theme/conf_theme/1
Can AI-Generated Content Be An Antidote To Ideological and Affective Polarization?
Societal polarization has reached alarming levels across the world, driven by biased media reporting, social media echo chambers, and affective partisanship. However, emerging technologies such as artificial intelligence (AI) may offer novel opportunities to mitigate this trend. This research-in-progress paper explores whether AI-generated balanced content synthesized from biased narratives from ideologically diverse news sources and presented in a non-confrontational tone, can help bridge ideological divides and reduce polarization. Using two behavioral experiments, it will examine why, how, and under what circumstances can such AI-generated content mitigate ideological and affective polarization.
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