The purpose of this study was to test the determinants affecting the credibility of online reviews. In this model, the relationships between argument quality and peripheral cue and credibility of online reviews were evaluated. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on responses from 460 customers using multiple linear regression analysis, accordingly. After the data collection process was completed, all data were put into SPSS 20. The process of checking and analyzing the data sequentially follows: reliability test, EFA factor analysis, Correlation analysis and Multiple linear regression analysis. Initially, the scale was assessed by Cronbach's Alpha and EFA. Then, the correlation coefficient test was used to check the linear relationship between the independent and dependent variables. The results from the study indicated the accuracy, completeness, review quantity, review consistency, product/ service rating, and website reputation were accepted and all of them had positive effects on review credibility. This shows, shoppers are very interested in completeness, the full information as well as necessary evidence to help shoppers assess the truthfulness and accuracy of the information more easily. At the same time, the website reputation also helps increase the credibility of the reviews and buyers tend to believe in online reviews if the website has a good reputation. Basically, the research completed its original purpose of identifying factors that affect the credibility of online reviews.