Online Deception Detection Refueled by Real World Data Collection
Table 6: Cross-domain Experimental Results after Adding Training Data from Other Domains
['Features', 'Books', 'Health', 'Electronics', 'Movies', 'Macro Average']
The improvements are 6-7% across domains except Books, where adding 1,232 more deceptive reviews to 6,244 deceptive instances on Books may not notably change its overall review distribution. Especially, with the feature sets enriched with our advertising speak features and syntactic complexity features, the performance of the classifier even further improves using additional mixed-domain training data, by 10-14% across the latter three categories (Health, Electronics and Movies).