Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Peek into the Political Biases in Email Spam Filtering Algorithms
  During US Election 2020   Email services use spam filtering algorithms (SFAs) to filter emails that are
unwanted by the user. However, at times, the emails perceived by an SFA as
unwanted may be important to the user. Such incorrect decisions can have
significant implications if SFAs treat emails of user interest as spam on a
large scale. This is particularly important during national elections. To study
whether the SFAs of popular email services have any biases in treating the
campaign emails, we conducted a large-scale study of the campaign emails of the
US elections 2020 by subscribing to a large number of Presidential, Senate, and
House candidates using over a hundred email accounts on Gmail, Outlook, and
Yahoo. We analyzed the biases in the SFAs towards the left and the right
candidates and further studied the impact of the interactions (such as reading
or marking emails as spam) of email recipients on these biases. We observed
that the SFAs of different email services indeed exhibit biases towards
different political affiliations. We present this and several other important
observations in this paper.

25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: q-bio