A social media company is having trouble with political actors manipulating the flow of information on its service. Specifically, certain governments are producing tens or hundreds of thousands of fake accounts to promote government propaganda, thereby attempting to swamp any news which does not fit the government's perspective.

The social media platform is attempting to respond by using machine learning to determine which accounts are fake, based on their activity patterns, but the adversary governments are responding with their own machine learning to better hide those patterns and impersonate real users. For every batch of fake accounts deactivated, just as many seem to pop up again.

Furthermore, the machine learning algorithms are imperfect, and balancing falsepositives with false negatives can lead to deactivating real people's accounts, leading to anger, frustration, and bad publicity for the company. On the other hand, scaling back to avoid false positives leads to more fake accounts slipping through.

What should the company do? What ethical questions should they consider? How might the questions below inspire perspectives on this problem?

Can u please help me answer the following questions based on the above topic

Should such technology be developed? If not, why not? If so, how could it be done ethically? What unique ethical concerns does it raise?

Who are the stakeholders involved? Shareholders?

What additional facts might be required? What practical steps might you need to take in order to access the information/perspectives needed to manage the ethical landscape of this project?

What are some other ethical issues that any designers/developers of such an application would need to address?

How might this project be evaluated through the various ethical 'lenses'?

In this project, what moral values are potentially conflicting with each other? Is there any way to reconcile them? Even if conflict is unavoidable, are there ways to respect all relevant interests/values? How?