Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory
  study of infodemic around the pandemic   In this work, we collect a moderate-sized representative corpus of tweets
(200,000 approx.) pertaining Covid-19 vaccination spanning over a period of
seven months (September 2020 - March 2021). Following a Transfer Learning
approach, we utilize the pre-trained Transformer-based XLNet model to classify
tweets as Misleading or Non-Misleading and validate against a random subset of
results manually. We build on this to study and contrast the characteristics of
tweets in the corpus that are misleading in nature against non-misleading ones.
This exploratory analysis enables us to design features (such as sentiments,
hashtags, nouns, pronouns, etc) that can, in turn, be exploited for classifying
tweets as (Non-)Misleading using various ML models in an explainable manner.
Specifically, several ML models are employed for prediction, with up to 90%
accuracy, and the importance of each feature is explained using SHAP
Explainable AI (XAI) tool. While the thrust of this work is principally
exploratory analysis in order to obtain insights on the online discourse on
Covid-19 vaccination, we conclude the paper by outlining how these insights
provide the foundations for a more actionable approach to mitigate
misinformation. The curated dataset and code is made available (Github
repository) so that the research community at large can reproduce, compare
against, or build upon this work.

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The categories of this paper are: cond-mat
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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-th
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The categories of this paper are: adap-org
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The categories of this paper are: funct-an
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The categories of this paper are: math
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ph