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    <responseDate>2026-10-14T18:56:11Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/c3yj5stt6z.1</identifier>
                <datestamp>2026-05-23T17:19:19Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>huang , chao</dc:creator>
    <dc:title>SPECTRA</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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 &amp; Knowledge Management, 2021: 3343-3347.
</dc:description>
    <dc:subject>Multimodality</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/c3yj5stt6z.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/c3yj5stt6z.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2026-05-23T17:19:19Z</dc:date>
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