Wikipedia relies on an extensive review process to
verify that the content of each individual page is unbiased and
presents a “neutral point of view.” Less attention has been paid
to possible biases in the hyperlink structure of Wikipedia, which
has a significant influence on the user’s exploration process when
visiting more than one page. The evaluation of hyperlink bias is
challenging because it depends on the global view rather than
the text of individual pages.
In this paper, we focus on the influence of the interconnect
topology between articles describing complementary aspects of
polarizing topics. We introduce a novel measure of exposure
to diverse information to quantify users’ exposure to different
aspects of a topic throughout an entire surfing session, rather
than just one click ahead. We apply this measure to six polarizing
topics (e.g., gun control and gun right), and we identify cases
in which the network topology significantly limits the exposure
of users to diverse information on the topic, encouraging users
to remain in a knowledge bubble. Our findings demonstrate
the importance of evaluating Wikipedia’s network structure in
addition to the extensive review of individual articles.
Dettaglio pubblicazione
2021, Proceedings of the 2021 IEEE International Conference on Big Data (BigData 2021), Pages 1300-1307
How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics? (04b Atto di convegno in volume)
Menghini Cristina, Anagnostopoulos Aris, Upfal Eli
ISBN: 978-1-6654-3902-2
Gruppo di ricerca: Algorithms and Data Science
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