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Communication on social media platforms is not only culturally andpolitically relevant, it is also increasingly widespread across societies.Users not only communicate via social media platforms, but also searchspecifically for information, disseminate it or post information themselves.However, fake news, hate speech and even radicalizing elements are part of thismodern form of communication: Sometimes with far-reaching effects onindividuals and societies. A basic understanding of these mechanisms andcommunication patterns could help to counteract negative forms ofcommunication, e.g. bullying among children or extreme political points ofview. To this end, a method will be presented in order to break down theunderlying communication patterns, to trace individual users and to inspecttheir comments and range on social media platforms; Or to contrast them lateron via qualitative research. This approeach can identify particularly activeusers with an accuracy of 100 percent, if the framing social networks as wellas the topics are taken into account. However, methodological as well ascounteracting approaches must be even more dynamic and flexible to ensuresensitivity and specifity regarding users who spread hate speech, fake news andradicalizing elements.

Analysing Social Media Network Data with R: Semi-Automated Screening of Users, Comments and Communication Patterns