Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Ethical Content-Based Detection of Online Influence Campaigns   The detection of clandestine efforts to influence users in online communities
is a challenging problem with significant active development. We demonstrate
that features derived from the text of user comments are useful for identifying
suspect activity, but lead to increased erroneous identifications when keywords
over-represented in past influence campaigns are present. Drawing on research
in native language identification (NLI), we use "named entity masking" (NEM) to
create sentence features robust to this shortcoming, while maintaining
comparable classification accuracy. We demonstrate that while NEM consistently
reduces false positives when key named entities are mentioned, both masked and
unmasked models exhibit increased false positive rates on English sentences by
Russian native speakers, raising ethical considerations that should be
addressed in future research.

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The categories of this paper are: physics
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph