Focused on the issue that the current online conference digital review system cannot ensure the privacy of reviewers’ opinions and obtain safe and reliable results at the same time， a privacy computing based design scheme of digital review system for online conference was proposed. Firstly， the review data were shared secretly through the encoding matrix of Reed-Solomon （RS） code to obtain secret shares， and the hash code of each party’s review data was submitted to the organizer as a stub to prevent denial. Secondly， the secret shares were cooperatively computed by the monotone expansion matrix， one encoding matrix， to obtain the voting results. Finally， the parity check matrix was used to check whether there was a sharing error or tampering behavior of the secret shares in the process of multi-party cooperative computing. Theoretical analysis and simulation show that the proposed scheme can realize the privacy computing function in the digital review system for small- and medium-sized online conferences.