Abstract
<h2>Abstract</h2> The Rumor Categorizer Software (RCS), an open-source software, categorizes Twitter posts based on their stance towards a given rumor into six categories; rumor tweet, anti-rumor tweet, rumor retweet, anti-rumor retweet, rumor-related tweet, and rumor-related retweet. Then for the publishers of those tweets/retweets, analyze the user dynamics. Furthermore, the software calculates the number of users belonging to any combination of the sextuple categories and plots the number of tweets/retweets in each hour for rumor and anti-rumor. The software aids researchers and practitioners in analyzing rumors effectively.
Highlights
The introduction proceeds with the three main aspects of this open software which are; (1) Considering the competitive nature of rumors on social media, (2) Characterizing the spreaders based on the stance of rumor posts, (3) Extracting the macro patterns of diffusion
Some researchers [12] have tried to characterize Twitter users involved with the discussions of ‘‘fake news’’ based on different characteristics such as type of user, gender, and political affiliation; their study was limited to political context
Even though Rumor Categorizer Software (RCS) is created for rumor analysis on social media, but it is applicable to the diffusion of any contagion which has a competitive nature
Summary
The introduction proceeds with the three main aspects of this open software which are; (1) Considering the competitive nature of rumors on social media, (2) Characterizing the spreaders based on the stance of rumor posts, (3) Extracting the macro patterns of diffusion. The uniqueness and generalizability of the software will be discussed
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