SPECTRA

The datasets used in our paper SPECTRA: Sequential Prismatic Ensemble and Cross-domain Transfer Residual Alignment for Multimodal Multi-domain Fake News Detection include three datasets: FineFake, Weibo, and Weibo21. Since the use of these three datasets requires permission from their creators, we provide the links to access and download them. (a) FineFake Dataset URL: https://github.com/Accuser907/FineFake Reference: Zhou Z, Zhang X, Zhang L, et al. FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection[J]. Information Fusion, 2026: 1-12. (b) Weibo Dataset URL: https://github.com/GYXie/weibo_dataset Reference: Jin Z, Cao J, Guo H, et al. Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs[C]. Proceedings of the ACM Multimedia Conference, 2017: 795-816. (c) Weibo21 Dataset URL: https://github.com/kennqiang/MDFEND-Weibo21 Reference: Nan Q, Cao J, Zhu Y, et al. MDFEND: Multi-Domain Fake News Detection[C]. Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021: 3343-3347.本文所发表的论文《SPECTRA：面向多模态多领域假新闻检测的序列棱镜集成与跨域迁移残差对齐》所使用的数据集包含三个，分别为FineFake、Weibo与Weibo21。由于使用这三个数据集需获得其创作者授权，故本文提供了数据集的获取与下载链接。 (a) FineFake数据集 数据集获取链接：https://github.com/Accuser907/FineFake 参考文献：Zhou Z、Zhang X、Zhang L 等. FineFake：面向细粒度多领域假新闻检测的知识增强数据集[J]. 《信息融合》, 2026: 1-12. (b) Weibo数据集 数据集获取链接：https://github.com/GYXie/weibo_dataset 参考文献：Jin Z、Cao J、Guo H 等. 基于循环神经网络的多模态融合微博谣言检测[C]// 2017年ACM多媒体大会论文集, 2017: 795-816. (c) Weibo21数据集 数据集获取链接：https://github.com/kennqiang/MDFEND-Weibo21 参考文献：Nan Q、Cao J、Zhu Y 等. MDFEND：多领域假新闻检测[C]// 第30届ACM信息与知识管理国际会议论文集, 2021: 3343-3347.