The Rumor Categorizer: An open-source software for analyzing rumor posts on Twitter

Amirhosein Bodaghi; Jonice  Oliveira; Jonathan J. H. Zhu

doi:10.1016/j.simpa.2022.100232

The Rumor Categorizer: An open-source software for analyzing rumor posts on Twitter

Amirhosein Bodaghi, Jonice Oliveira, Jonathan J. H. Zhu

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

34 Downloads (Pure)

Abstract

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.

Original language	English
Journal	Software Impacts
Volume	12
Early online date	28 Jan 2022
DOIs	https://doi.org/10.1016/j.simpa.2022.100232
Publication status	Published (in print/issue) - 31 May 2022

Funding

The study was partially funded by City University of Hong Kong Centre for Communication Research (No. 9360120) and Hong Kong Institute of Data Science (No. 9360163).

Keywords

Rumor stance
Social network
Spreading process
User characteristics
Twitter

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.simpa.2022.100232

Bodaghi2022_SIFinal published version, 633 KBLicence: CC BY

Cite this

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title = "The Rumor Categorizer: An open-source software for analyzing rumor posts on Twitter",

abstract = "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.",

keywords = "Rumor stance, Social network, Spreading process, User characteristics, Twitter",

author = "Amirhosein Bodaghi and Jonice Oliveira and Zhu, \{Jonathan J. H.\}",

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AU - Oliveira, Jonice

AU - Zhu, Jonathan J. H.

PY - 2022/5/31

Y1 - 2022/5/31

N2 - 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.

AB - 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.

KW - Rumor stance

KW - Social network

KW - Spreading process

KW - User characteristics

KW - Twitter

UR - https://scholars.cityu.edu.hk/en/publications/the-rumor-categorizer(723e1e21-e7f6-4756-89ea-80011a2382fc).html

UR - https://www.scopus.com/pages/publications/85124026266

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DO - 10.1016/j.simpa.2022.100232

M3 - Article

VL - 12

JO - Software Impacts

JF - Software Impacts

ER -

The Rumor Categorizer: An open-source software for analyzing rumor posts on Twitter

Abstract

Funding

Keywords

UN SDGs

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