BigTech can use the social graph combined with additional knowledge they are collecting on you to shape social outcomes in subtle, but controlled ways. For exam

BigTech can use the social graph combined with additional knowledge they are collecting on you to shape social outcomes in subtle, but controlled ways. For example, if you begin to be seen as unfavorable by certain people or by some algorithm, the information you see might quietly begin to change: the jobs you see posted, the health care will be offered, the schools you apply to. These would not result in some massively obvious punishment for certain behaviors, but in a way that might be viewed as a marriage between shadowbanning and bias in ML models, which is to say that the bias would be fully controlled and quietly implemented in a continuous way. Now, LinkedIn and Facebook can track social milieus, but are they using that knowledge to direct social phenomena, so to speak? For example, if a group of people in opposition to BigTech begins to coalesce, are they using social media to discourage, shape, and manage the discourse in a way that diminishes the likelihood that such a group can mount a cohesive threat to BigTech (for example, by increasing fragmentation or cooling by increasing the amount of conflicting information different people in that group receive, or impeding the spread of certain kinds of information within that group)?