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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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MisInfoShort-22K: A Short-Text Multi-Domain Misinformation Detection Benchmark with Emotional and Semantic Metadata

Research datakeyboard_double_arrow_right Dataset 14 Mar 2026 English Publisher:Zenodo
Authors: Md.Sajjad Ullah;

doi: 10.5281/zenodo.19019703 , 10.5281/zenodo.19019702

MisInfoShort-22K: A Short-Text Multi-Domain Misinformation Detection Benchmark with Emotional and Semantic Metadata

Abstract

MisInfoShort-22K is a research-grade synthetic dataset for short-text misinformation detection. It contains 20,000 samples

Keywords

fake news, text classification, machine learning, benchmark, emotion detection, dataset, misinformation, NLP

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average