Learning to Identify Ambiguous and Misleading News Headlines
Table 4: Comparison results of different feature set
['[EMPTY]', 'Precision', 'Recall', 'F-score']
With all features, the classifier achieves the F-score 0.702, which significantly exceed both sub-classifiers. According to the results listed, all the six groups of body-dependent features are resultful. Among all features, InformalGap and SentiGap are relatively important. Thus, it can be seen that the consistency between news headlines and news bodies plays an important role in misleading headline detection.