An Analytics Framework for Analyzing Social Network News

We present an analytics framework for analyzing news posts available on Instagram. There are four major components in this framework including data collection, data processing, data analytics, and data visualization. The data collection module is responsible for collecting the news posts from the Instagram website. Data cleaning, filtering, and parsing unstructured data are done in the data processing module. The data analytics module computes the desired analytics in various domains, and finally the data visualization module displays meaningful findings to the users. We also demonstrate how the framework works with real-world online news samples in this paper.