Automatic News Source Detection in Twitter Based on Text Segmentation

Takashi Inui, Masaki Saito, Mikio Yamamoto · Institutional Repositories DataBase (IRDB) · 2014

In this paper, we discuss news source detection (NSD), which involves finding additional information of a message generated in social media to understand the original message more deeply. We propose an NSD method based on the text segmentation and two extension models using web content and post times. Through the experiments using the real-world data, the proposed methods outperformed the baseline methods and exhibited an F-measure of 34.9.

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