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After the outbreak of the Russia-Ukraine war, social media become the major contested field for both sides. Social bots are widely involved in the Russia-Ukraine war discussion as communication actors. However, how social bots build the war agenda has not been well answered. This study explores the role of social bots through time series analysis and Structural Topic Model. The study finds that at the aggregate level there is a two-way agenda-setting between social bots and human accounts, and at the secondary level, social bots show different or even opposite agenda-setting effects in national/regional discussion. In addition, we find that social bots exhibit multiple positions in the conversation, reflecting the complexity of the manipulators behind them. This multiplicity of positions reveals that the role played by social bots is still based on the opposition of one side to the other, and the end result may exacerbate the conflict of online public opinion. [ABSTRACT FROM AUTHOR]