Multimodal fake news dataset Weibo23

Citation Author(s):
wanlong
bing
Submitted by:
wanlong bing
Last updated:
Sat, 12/23/2023 - 04:34
DOI:
10.21227/hjmr-kr22
Data Format:
*.jpg; *.json; *.csv
License:
Creative Commons Attribution
1320 Views
Categories:
Artificial Intelligence
Machine Learning
Social Sciences
Security
Keywords:
Fake news; dataset; social media data; multimodal dataset;
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Abstract 

We propose a more challenging dataset known as Weibo23. By amalgamating all available fake news from the Weibo Management Community until March 2023 with existing samples from public datasets [1], we formed a comprehensive collection of fake news for Weibo23. Fabricated news articles were thoroughly examined and authenticated by certified experts.

[1] Q. Nan, J. Cao, Y. Zhu, Y. Wang, and J. Li, ‘‘Mdfend: Multi-domain fake news detection,’’ in Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ser. CIKM ’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 3343–3347. [Online]. Available: https://doi.org/10.1145/3459637.3482139

Instructions: 

The image file is in the images folder, the text file is in the text folder, and the label data is in the label.csv file.

Comments

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Submitted by emily A on Sat, 01/06/2024 - 01:13

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Submitted by Sai Kiran Gandluri on Sun, 03/24/2024 - 19:49

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Submitted by Cai Songrui on Tue, 04/02/2024 - 09:35

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Submitted by David Bamikole on Tue, 04/02/2024 - 10:11

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Submitted by Akshit Mahendru on Wed, 04/03/2024 - 14:04

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Submitted by Deepti Nikumbh on Wed, 05/15/2024 - 20:50

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