Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning

Algorithm 1

Weibo rumor recognition method based on stacking.

	Input: a Weibo set
	Output: the confidence value of
	Step 1: extract features of as shown in Figure 5
	Step 2: calculate user credibility of
	Step 3: segment and its comments, and calculate emotion consistency of
	Step 4: calculate regional correlation of
	Step 5: standardize each feature of
	Step 6: split the preprocessed data set into train set, test set and validation set, and input them into SVM, RF, and Naïve Bayes model
	Step 7: input the new feature set in step 6 into logistic regression model
	Step 8: calculate the accuracy, precision, recall and F1-score of the Stacking model