Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards More Accountable Search Engines: Online Evaluation of
  Representation Bias   Information availability affects people's behavior and perception of the
world. Notably, people rely on search engines to satisfy their need for
information. Search engines deliver results relevant to user requests usually
without being or making themselves accountable for the information they
deliver, which may harm people's lives and, in turn, society. This potential
risk urges the development of evaluation mechanisms of bias in order to empower
the user in judging the results of search engines. In this paper, we give a
possible solution to measuring representation bias with respect to societal
features for search engines and apply it to evaluating the gender
representation bias for Google's Knowledge Graph Carousel for listing
occupations.

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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: adap-org
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The categories of this paper are: hep-lat
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The categories of this paper are: quant-ph
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The categories of this paper are: nlin
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The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: atom-ph
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The categories of this paper are: physics
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio