Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semi-Supervised Multi-aspect Detection of Misinformation using
  Hierarchical Joint Decomposition   Distinguishing between misinformation and real information is one of the most
challenging problems in today's interconnected world. The vast majority of the
state-of-the-art in detecting misinformation is fully supervised, requiring a
large number of high-quality human annotations. However, the availability of
such annotations cannot be taken for granted, since it is very costly,
time-consuming, and challenging to do so in a way that keeps up with the
proliferation of misinformation. In this work, we are interested in exploring
scenarios where the number of annotations is limited. In such scenarios, we
investigate how tapping on a diverse number of resources that characterize a
news article, henceforth referred to as "aspects" can compensate for the lack
of labels. In particular, our contributions in this paper are twofold: 1) We
propose the use of three different aspects: article content, context of social
sharing behaviors, and host website/domain features, and 2) We introduce a
principled tensor based embedding framework that combines all those aspects
effectively. We propose HiJoD a 2-level decomposition pipeline which not only
outperforms state-of-the-art methods with F1-scores of 74% and 81% on Twitter
and Politifact datasets respectively but also is an order of magnitude faster
than similar ensemble approaches.

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The categories of this paper are: adap-org
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The categories of this paper are: hep-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-ex
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The categories of this paper are: nlin
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The categories of this paper are: math
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn