The urgency for a new sociology of humans and machines is critical, as generative AI's emergent behaviors require deeper social science insights before it becomes more sophisticated.
Adopting an agent-based modeling framework can clarify differences between human and bot agents, focusing on their unique characteristics like learning, innovation, and biases.
Controlled experiments should provide comparisons across human-machine and human-only networks, while field interventions in bot-populated communities can reveal their societal impacts.
Understanding bot interactions is essential; examples include social bots influencing user opinions, trading bots affecting cryptocurrency values, and political bots shaping public discourse.
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