Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deception detection in text and its relation to the cultural dimension
  of individualism/collectivism   Deception detection is a task with many applications both in direct physical
and in computer-mediated communication. Our focus is on automatic deception
detection in text across cultures. We view culture through the prism of the
individualism/collectivism dimension and we approximate culture by using
country as a proxy. Having as a starting point recent conclusions drawn from
the social psychology discipline, we explore if differences in the usage of
specific linguistic features of deception across cultures can be confirmed and
attributed to norms in respect to the individualism/collectivism divide. We
also investigate if a universal feature set for cross-cultural text deception
detection tasks exists. We evaluate the predictive power of different feature
sets and approaches. We create culture/language-aware classifiers by
experimenting with a wide range of n-gram features based on phonology,
morphology and syntax, other linguistic cues like word and phoneme counts,
pronouns use, etc., and token embeddings. We conducted our experiments over 11
datasets from 5 languages i.e., English, Dutch, Russian, Spanish and Romanian,
from six countries (US, Belgium, India, Russia, Mexico and Romania), and we
applied two classification methods i.e, logistic regression and fine-tuned BERT
models. The results showed that our task is fairly complex and demanding. There
are indications that some linguistic cues of deception have cultural origins,
and are consistent in the context of diverse domains and dataset settings for
the same language. This is more evident for the usage of pronouns and the
expression of sentiment in deceptive language. The results of this work show
that the automatic deception detection across cultures and languages cannot be
handled in a unified manner, and that such approaches should be augmented with
knowledge about cultural differences and the domains of interest.

13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-lat
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The categories of this paper are: stat
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The categories of this paper are: alg-geom