Consider the following two cases:

1. Friend groups: One way nlite is commonly used is to investigate controversial topics within friend groups. While people may have differing opinions in these environments, they often do not intentionally distort data to misrepresent the other side. In such cases, nlite serves as a tool for efficient discussion.
2. Broader environments: In more public or diverse settings, where bad-faith actors may be present, nlite incorporates safeguards to minimize manipulation. A current area of focus is the development of an algorithm that helps detect the possible presence of two subgroups of users: one with good intentions that aims at ranking arguments in the proper order, and another with bad intentions that aims at ranking arguments either in reverse order or randomly. It's important to note that if manipulative behavior is detected, the platform can always publicize it, potentially damaging the perpetrators' reputation more than any early benefits they might gain.