Research Article
[Retracted] Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning
Table 1
Results of the correlation analysis.
| Variable | Sales | Deceptive sentiment intensity | Deceptive sentiment polarity | Volume of deceptive reviews | Deceptive release frequency | Length of deceptive reviews | Deceptive positive feedback rate | Deceptive credit rating |
| Sales | 1.0 | | | | | | | | Deceptive sentiment intensity | 0.096 | 1.0 | | | | | | | Deceptive sentiment polarity | 0.096 | 0.981∗ | 1.0 | | | | | | Volume of deceptive reviews | 0.983∗ | 0.051 | 0.054 | 1.0 | | | | | Deceptive release frequency | 0.267∗ | -0.336∗ | −0.293∗ | 0.387∗ | 1.0 | | | | Length of deceptive reviews | −0.011 | −0.203 | −0.217 | −0.037 | 0.016 | 1.0 | | | Deceptive positive feedback rate | 0.793∗ | −0.177 | −0.166 | 0.825∗ | 0.487∗ | −0.029 | 1.0 | | Deceptive credit rating | 0.764∗ | −0.197 | -0.182 | 0.797∗ | 0.488∗ | −0.079 | 0.985∗ | 1.0 |
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∗0.01 level (two-tailed) implies that the correlation is significant.
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