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In the research project HUMIC (RWTH Aachen University) we strike out in a new direction in acceptance research. In order to identify previously undetected acceptance factors in user-generated content, traditionally used methods are complemented by innovative methods of computational linguistics. Verbal comments from social media tools like weblogs are analyzed by text mining methods with the aim to get access to user judgements. This methodology offers the possibility to learn how user perceive and conceptualize large-scale technologies using the example of the mobile communication systems.