  As technology grows faster, the news spreads through social media. In order
to attract more readers and acquire additional profit, some news agencies
reproduce massive news in a more appealing manner. Therefore, it is essential
to accurately predict whether a news article is from official news agencies.
This work develops a headline classification based on Convoluted Neural Network
to determine credibility of a news article. The model primarily focuses on
investigating key factors from headlines. These factors include word
segmentation, part-of-speech tags, and sentiment features. With integrating
these features into the proposed classification model, the demonstrated
evaluation achieves 93.99% for accuracy.
