Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Botometer 101: Social bot practicum for computational social scientists   Social bots have become an important component of online social media.
Deceptive bots, in particular, can manipulate online discussions of important
issues ranging from elections to public health, threatening the constructive
exchange of information. Their ubiquity makes them an interesting research
subject and requires researchers to properly handle them when conducting
studies using social media data. Therefore it is important for researchers to
gain access to bot detection tools that are reliable and easy to use. This
paper aims to provide an introductory tutorial of Botometer, a public tool for
bot detection on Twitter, for readers who are new to this topic and may not be
familiar with programming and machine learning. We introduce how Botometer
works, the different ways users can access it, and present a case study as a
demonstration. Readers can use the case study code as a template for their own
research. We also discuss recommended practice for using Botometer.

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The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga