Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Algorithmic bias amplifies opinion polarization: A bounded confidence
  model   The flow of information reaching us via the online media platforms is
optimized not by the information content or relevance but by popularity and
proximity to the target. This is typically performed in order to maximise
platform usage. As a side effect, this introduces an algorithmic bias that is
believed to enhance polarization of the societal debate. To study this
phenomenon, we modify the well-known continuous opinion dynamics model of
bounded confidence in order to account for the algorithmic bias and investigate
its consequences. In the simplest version of the original model the pairs of
discussion participants are chosen at random and their opinions get closer to
each other if they are within a fixed tolerance level. We modify the selection
rule of the discussion partners: there is an enhanced probability to choose
individuals whose opinions are already close to each other, thus mimicking the
behavior of online media which suggest interaction with similar peers. As a
result we observe: a) an increased tendency towards polarization, which emerges
also in conditions where the original model would predict convergence, and b) a
dramatic slowing down of the speed at which the convergence at the asymptotic
state is reached, which makes the system highly unstable. Polarization is
augmented by a fragmented initial population.

13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
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The categories of this paper are: econ
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The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex