We discuss a computationally meaningful process for evaluating misinformation detection tools in the context of immigration in Austria, admitting for the wide variety of qualitative and quantitative data involved. The evaluation machinery is based on a library of tools to support the process in both the elicitation and evaluation phases, including automatized preference elicitation procedures, development of result robustness measures as well as algorithms for co-evaluating quantitative and qualitative data in various formats. The focus of our work is on the Austrian limited profit housing sector, which makes up 24% of the total housing stock and more than 30% of the total of new construction, with a high share of migrants as tenants. We describe the results from workshops analysing the existing misinformation on migration issues in Austria, where we also introduced a co-creation phase. To better understand the stakeholder ecosystem and the lifecycle of misinformation towards social conflicts, we applied a software for integrated multi-stakeholder-multi-attribute problems under risk subject to incomplete or imperfect information, based on the evaluation machinery. Perceived counter-measures of importance turned out to be institutional and regulatory measures in combination with the creation of info-points, measures to raise awareness and stimulate critical thinking, production of tools to deal with misinformation, provision of reliable sources of information, and creation of a culture of thinking.