This research focuses on the automatic manipulation of public opinion towards “China” on Twitter. By analyzing 358,656 tweets and measuring the bot score of users involved, it fnds that 21.88% of tweets were posted by social bots. The economic resistance to China is more likely to come from human users, but a signifcant proportion of the criticism of China's political system and human rights situation is conducted by social bots. Interaction networks between users show that social bots tend to increase the visibility of information by retweeting tweets and mentioning other users, but rarely cite or reply. Bots can successfully trigger human users to conduct interactions with them, but humans are still more inclined to interact with humans. It argues that social bots can increase humans’ contact with certain information and social bots themselves can be involved in the social networks to change the given information interaction structure.