Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Fake News Using Machine Learning : A Systematic Literature
  Review   Internet is one of the important inventions and a large number of persons are
its users. These persons use this for different purposes. There are different
social media platforms that are accessible to these users. Any user can make a
post or spread the news through the online platforms. These platforms do not
verify the users or their posts. So some of the users try to spread fake news
through these platforms. These news can be propaganda against an individual,
society, organization or political party. A human being is unable to detect all
these fake news. So there is a need for machine learning classifiers that can
detect these fake news automatically. Use of machine learning classifiers for
detecting fake news is described in this systematic literature review.

30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th