Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling Political Activism around Gun Debate via Social Media   The United States have some of the highest rates of gun violence among
developed countries. Yet, there is a disagreement about the extent to which
firearms should be regulated. In this study, we employ social media signals to
examine the predictors of offline political activism, at both population and
individual level. We show that it is possible to classify the stance of users
on the gun issue, especially accurately when network information is available.
Alongside socioeconomic variables, network information such as the relative
size of the two sides of the debate is also predictive of state-level gun
policy. On individual level, we build a statistical model using network,
content, and psycho-linguistic features that predicts real-life political
action, and explore the most predictive linguistic features. Thus, we argue
that, alongside demographics and socioeconomic indicators, social media
provides useful signals in the holistic modeling of political engagement around
the gun debate.

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The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
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The categories of this paper are: nucl-ex
2
The categories of this paper are: math
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The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
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The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
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The categories of this paper are: solv-int
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The categories of this paper are: eess
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The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
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The categories of this paper are: alg-geom
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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: chao-dyn