Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Engaging Politically Diverse Audiences on Social Media   We study how political polarization is reflected in the social media posts
used by media outlets to promote their content online. In particular, we track
the Twitter posts of several media outlets over the course of more than three
years (566K tweets), and the engagement with these tweets from other users
(104M retweets), modeling the relationship between the tweet text and the
political diversity of the audience. We build a tool that integrates our model
and helps journalists craft tweets that are engaging to a politically diverse
audience, guided by the model predictions. To test the real-world impact of the
tool, we partner with the PBS documentary series Frontline and run a series of
advertising experiments on Twitter. We find that in seven out of the ten
experiments, the tweets selected by our model were indeed engaging to a more
politically diverse audience, illustrating the effectiveness of our approach.

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The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
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The categories of this paper are: comp-gas
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The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
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The categories of this paper are: alg-geom
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
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The categories of this paper are: cmp-lg
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The categories of this paper are: math-ph