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Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent the opinion formation process. In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants.doi:10.5687/sss.2020.60 fatcat:tit436s2zvavnbc36e467ihufy