Pheme, Twitter15, and Twitter16 dataset

Citation Author(s):
Arkaitz
Zubiaga
Geraldine Wong
Sak Hoi
Maria
Liakata
Rob
Procter
Submitted by:
Zejiang He
Last updated:
Wed, 02/19/2025 - 11:26
DOI:
10.21227/0egb-zg75
License:
Creative Commons Attribution
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Categories:
Artificial Intelligence
Keywords:
Twitter rumours and non-rumours
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Abstract 

This dataset contains a collection of Twitter rumours and non-rumours posted during breaking news. The five breaking news provided with the dataset are as follows: * Charlie Hebdo: 458 rumours (22.0%) and 1,621 non-rumours (78.0%).* Ferguson: 284 rumours (24.8%) and 859 non-rumours (75.2%).* Germanwings Crash: 238 rumours (50.7%) and 231 non-rumours (49.3%).* Ottawa Shooting: 470 rumours (52.8%) and 420 non-rumours (47.2%).* Sydney Siege: 522 rumours (42.8%) and 699 non-rumours (57.2%).

Instructions: 

The data is structured as follows. Each event has a directory, with two subfolders, rumours and non-rumours. These two folders have folders named with a tweet ID. The tweet itself can be found on the 'source-tweet' directory of the tweet in question, and the directory 'reactions' has the set of tweets responding to that source tweet. This dataset was used in the paper 'Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media' for rumour detection. For more details, please refer to the paper.

Comments

Pheme, Twitter15, and  Twitter16 dataset

Submitted by Zejiang He on Wed, 02/19/2025 - 11:24

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