Research on bot detection on online social networks has received a considerable amount of attention in Swedish news media. Recently however, criticism of the research field of bot detection on onlinesocial networks has been presented, highlighting the need to investigate the research field to determine if information based on flawed research has been spread. To investigate the research field, this study has attempted to review the process of bot detection on online social networks and evaluate the proposed criticism of current bot detection research by: conducting a literature review of bots on online social networks, conducting a literature review of methods for bot detection on online social networks, and detecting bots in three different politically associated data sets with Swedish Twitter accounts usingfive different bot detection methods. Results of the study showed minor evidence that previous research may have been flawed. Still, based on the literature review of bot detection methods, it was determined that this criticism was not extensive enough to critique the research fieldof bot detection on online social networks as a whole. Further, problems highlighted in the criticism were recognized to potentially have arose from a lack of differentiation between bot types in research. An insufficient differentiation between bot types in research was also acknowledged as a factor which could lead to difficulties ingeneralizing the results from bot detection studies measuring the effect of bots on political opinions. Instead, the study acknowledged that a good bot differentiation could potentially improve bot detection.