Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting Anti-Asian Hateful Users on Twitter during COVID-19   We investigate predictors of anti-Asian hate among Twitter users throughout
COVID-19. With the rise of xenophobia and polarization that has accompanied
widespread social media usage in many nations, online hate has become a major
social issue, attracting many researchers. Here, we apply natural language
processing techniques to characterize social media users who began to post
anti-Asian hate messages during COVID-19. We compare two user groups -- those
who posted anti-Asian slurs and those who did not -- with respect to a rich set
of features measured with data prior to COVID-19 and show that it is possible
to predict who later publicly posted anti-Asian slurs. Our analysis of
predictive features underlines the potential impact of news media and
information sources that report on online hate and calls for further
investigation into the role of polarized communication networks and news media.

16
The categories of this paper are: stat
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci