
Martha Vidal-Sepúlveda, Gabriel Valdés-León, Christian Olivares-Rodríguez
Espirales. Revista multidisciplinaria de investigación científica, Vol. 5, No. 38
July - October 2021. e-ISSN 2550-6862. pp 1-16.
memory (Rivas 2008, p.185). In this line, and to improve the efficiency of the search
process, search engines have incorporated query recommendation models (Duarte
Torres, Hiemstra and Weber, 2012), and user purpose detection (Sadikov, Madhavan,
Wang and Halevy, 2010; Santos, Nguyen and Zhao, 2003), which emerge as an
alternative to reduce the overwhelm of hundreds of results with diverse information.
However, algorithmic mediation personalizes our search by reducing the search space
and the diversity of the results, with filters that determine the links that are close to our
interests, leaving out those that are far away and that present contradictory information.
In short, they shape an informational bubble (Parisier, 2017) that limits the opportunity
to access information. Thus, when exploring the web for the purpose of solving a
learning task, we do not have access to the full diversity of content, but rather it is
reduced to the sites that we consult on a recurring basis or other similar ones. For Jiang
(2014b) the ranking of results also depends on user clicks, but added to the language,
the language used, the popularity of the site and geolocation. This last factor appears
as a determinant in the results received by the user, since significant differences have
been established in the information received by users depending on their geographic
location (Jiang 2014a; Jiang 2014b; Cano-Orón, 2019). Likewise, search results are also
influenced by advertising as part of the business of search engines (Rieder and Sire,
2014). In this sense, the delivery of results through a content ranking, implements a
biased model, according to which the algorithm determines the priority of some content
over others (Lewandowski, 2017, Rieder and Sire, 2014, Jiang 2014a; 2014b), directly
influencing the access to information by users. Another factor to consider is the media
influence of each country, as it would also influence the decision making of the search
algorithm (Cano-Orón, 2019 p. 98).
However, there are researchers who deny the existence of a bubble that isolates internet
users, as personalization would not bring about a limitation of access to information
(Haim, Graefe, & Brosius, 2018). However, these bubble-stressing studies have
limitations in that they are not conducted in real contexts: the information sources are
news from a single newspaper, and the object of study considers only a particular type
of diversity (Möller, Trilling, Helberger, & van Es, 2018), or the participants are simulated
with profile generation algorithms (Haim, Arendt, & Scherr, 2017).
Materials and Methods
This quasi-experimental research aims to identify the relationship between the
information search behavior on the Internet to solve a research task and the answers
given by a group of university students. The task consisted of answering the question
"How to fight crime in Chile". First, the level of exploration of the web is determined
by the number of queries issued. Secondly, the key words of the queries issued by the
students in the search engine are categorized. Finally, the categories found in the search
stage are contrasted with two aspects of the response stage: a) words used and b)
categories present.
The sample is composed of first-year engineering students between 18 and 19 years of
age, with 53 male students and 5 female students. Participants are volunteers and agree