Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
Table 4: Top six features correlated with fake news.
['[BOLD] Feature', '[BOLD] PCC']
To further explore the quality of the cross-lingual cross-platform features, we calculated the Pearson correlation coefficient (PCC) between each feature with respect to the tweet’s label (fake or real). We evaluated both TFG and features used by baseline models. A positive value indicates this feature positively correlates with fake news. We can see four out of the top six features are cross-lingual cross-platform features. The variance of the unrelated probability (unrelated variance) has the highest score, which further validates our design intuition that tweets might convey false information when they have different agreement with all other webpages that shared similar multimedia content. The second feature, ‘‘distance var" is also highly correlated with fake news. This result supports our hypothesis that if there is a large information dissimilarity across different platforms, there is a high probability of fake information involved. The only feature from baselines (56 features in total) in the top six features is whether a tweet contains an exclamation mark or not (containsExclaimationMark).