The algorithms in current human-machine social systems are relatively simple, and they typically guide narrow and specific behaviors rather than deploying sophisticated machine learning or AI.
Machines can be beneficial when they act or steer humans to counteract human weaknesses, such as using cooperative bots to curb retaliation and improve coordination.
There is a clear distinction between covert and overt bots; covert bots present more significant issues compared to those that declare their identity and conform to norms.
The effects of machines on human-machine social systems vary across factors like number, algorithms, network position, and institutional regulations, ultimately influencing how humans interact with each other.
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