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We aim to investigate what users know about social bots, to what extent they are aware of their existence, and, ultimately, which strategies they apply to detect them. Because prior knowledge on this is limited, we intend to answer these questions through qualitative (1) and quantitative (2) investigations. We want gain first insights into how well users detect social bots online. We specifically focus on the domain of political online communication, employing the psychological theory of motivated reasoning. We hypothesize that bot detection would be biased in order to support political attitudes, resulting in overconfidence and “blindness” towards bots that promote favored content, and skepticism and rejection towards bots promoting opposing views.