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DANS-EASY
Dataset . 2024
Data sources: B2FIND
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Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
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Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
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Multi-Fake-DetectiVE

Authors: Dell'Oglio, P;

Multi-Fake-DetectiVE

Abstract

The dataset includes social media posts and news articles, containing both a textual and a visual component, concerning the Ukrainian-Russian war started in February 2022. The dataset was collected to perform two distinct sub-tasks: Multimodal Fake News Detection, and Cross-modal Relation Classification in fake and real news. Given a piece of content (e.g., a social media post or a news article) that includes both a visual and a textual component, the first sub-task aims to detect if the content is a real or a fake news. The second sub-task aims to understand how the visual and textual components of news can influence each other. Given a text and an accompanying image, the sub-task intends to determine whether the combination of the two aims to mislead the interpretation of the reader about one or the other, or not. The data to be used for the two sub-tasks are stored in two separate sub-folders. Each sub-folder includes: (i) a training set, which contains data collected from February 2022 to September 2022, (ii) a contemporary test set, which includes data collected in the same time window as the training set, and (iii) a future test set, which contains data collected in a subsequent time window, specifically from October 2022 to December 2022. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Keywords

Text Mining, Interdisciplinary sciences, Other, Natural Language Processing, Multimodality

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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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
Related to Research communities
Digital Humanities and Cultural Heritage