What role does cognitive bias play in information retrieval?, by Maria Nagle
Maria Nagle works as a librarian at Welsh Government Information, Library and Archive Services. She has prior experience in public, academic and special collections library sectors. This article has been written in a personal capacity and does not necessarily reflect the views or policies of the Welsh Government.
Photo by Rachel Claire from Pexels
How
does our world view affect our search experience?
Every day many of us make
decisions based on information we have sourced online – decisions such as where
to eat, choices based on what the weather forecast looks like, how to answer an
enquiry in the workplace. We each experience the world individually, through
the lens of our own assimilated knowledge, previous experiences and unique
interpretations - how does this affect our searches for information and the
decisions they lead to?
These natural cognitive biases
and their implications for navigating our information-saturated society are
examined in the thought-provoking paper ‘Identifying effective
cognitive biases in information retrieval’, written by Gisoo Gomroki,
Hassan Behzadi, Rahmatolloah Fattahi and Javad Salehi Fadardi of Ferdowsi
University of Mashhad, Iran. This paper was featured online in the Journal of Information Science in March
2021 and can be accessed by CILIP members as part of their membership via the Professional Journals
area of the CILIP website.
Article
summary
This article was a surprising
read, not least as it highlighted a dearth of previous research into the effect
of cognitive biases on information retrieval; two areas with much scope for
overlap and investigation. The authors of this paper confronted this gap with
an interesting methodological approach, consulting twenty-five information
retrieval experts to determine which cognitive biases they deemed the most
important, followed by monitoring the search activities of thirty graduate
students supplemented by a
semi-structured interview with the latter group.
It was fascinating to compare
the top cognitive biases selected by the specialists with those appearing in
the students’ searching activity and to reflect on the different priorities
evident in these biases. Several of the biases highlighted in the study will be
familiar to many, such as:
· ‘Familiarity’
(prioritising familiar situations, resources or search tools)
· ‘Rush-to-solve’
(tendency to make quick decisions when searching leading to error)
· ‘Mere
exposure effect’ (where the extent of information exposure influences users’
judgement and decision-making).
It was clear from the findings
that the specialists’ opinions of common information searching biases differed
somewhat from those evidenced in the students’ searching activity. This raises
the question of just how well we, as information professionals, understand the
priorities and pressures on our users as they search for information. The
article’s conclusion offers another point of focus for information
professionals; our responsibility to educate our service users and alert them
to the risks of cognitive bias.
Personal
and professional implications
Working in government services
can be a fast-paced and sometimes risk-averse environment, and many government
information professionals will not only recognise these biases in their service
users, but may occasionally recognise these traits in their own search
activity. This article prompted me to reflect on how our role, as information
professionals, is fundamentally about staying aware of and alerting our users to
the often harmful impact of these biases, putting in place checks and
techniques to encourage more balanced and effective searches for information.
For example, using reflective
prompts may provide a more stimulating and productive way of alerting users to
bias during training sessions – open questions such as ‘how do you usually
search for information? Why those particular tools?’ Likewise, when enquiry
handling or literature searching, it is our responsibility to effectively
communicate when the information requested is complex and multifaceted –
addressing our users’ need to ‘rush to solve’ with a clear, objective guide to
the information relevant to their request. Even promoting government knowledge
and information management (GKIM) services can help achieve this aim;
encouraging our colleagues away from poor quality search tools and
demonstrating the value of our services all feeds into discouraging our users
from making biased search decisions.
Understanding the discussion
of these common biases through the additional lens of our duty as civil
servants to uphold the values of integrity, honesty, objectivity and impartiality
(i.e. the Civil
Service Code) is a further reminder of the importance of advocating for
sound information literacy skills and practice. All decisions made in
government require a reliable and robust evidence base, free from bias. We are often
asked to prove or negate certain concepts as part of our enquiry-based or
literature-searching roles, a task that requires us to draw upon on our professional
ethics to provide an impartial service and avoid returning a biased result.
Maintaining and raising an awareness of these possible biases to our service
users is a fundamental step to ensuring these values are upheld in a constantly
evolving information society. Furthermore, continuing professional development
and keeping up to date with developments in our field can help expand our
horizons and ensure we approach our work with a clear, informed vision.
Lessons
learned
The conclusion of the article
focuses on the responsibility of librarians and information professionals to
educate their users and help their understanding of cognitive biases. One of my
take-home messages from this article is that, in order to be effective and
impartial searchers we must constantly interrogate our own biases and maintain
a self-aware approach to information retrieval, sharing this approach with our
colleagues and service users.
This requires vigilance as it
can be all too easy to fall back into biased patterns of thought. It can be useful
to draw on the expertise of our colleagues and peers when trying to get an
objective perspective. For example, sharing search strategies or asking for
their interpretation of a particular research question can provide interesting
insights and a stronger starting point for literature searching.
Points
for reflection
This article provides an
important reminder that we must scrutinise the decisions we make when searching
for information and help our users do the same, highlighting the impact each
choice will have on the quality of information returned. Sharing practice and
experiences across organisations and sectors can help us broaden our
understanding of the best ways to address bias – it may be useful to consider
the following:
·
How do you alert your users to the risk of
cognitive biases in training and enquiries activities?
·
What strategies do you employ to address your
own cognitive biases when undertaking literature searching or enquiry work?
·
What resources can we develop to aid our
service users and help them avoid making biased decisions when searching?
Maria’s article demonstrates the relevance of considering and incorporating publishing LIS research into our own practices. This is something that GIG would like to continue and expand on within this blog platform. So we will welcome your reports of recently published research that have given you cause for thought and may have gone on to impact on your professional practice. Please contact info.gig@cilip.org.uk to discuss an idea for a future posting.
A number of questions are, also, raised. How do you recognise and counter your own search biases? Are there formal mechanisms within your team to help you consider and address bias? Do you make provision to consider potential for bias when training service users? What forms of bias creep into other GKIM practice areas? Is there bias in records management, access to information, freedom of information, and what measures are in place to address them? We will be keen to hear from you either as comment to this article or to info.gig@cilip.org.uk.
This article has now been published in a printed version: Gomroki, G., Behzadi, H., Fattahi, R., & Salehi Fadardi, J. (2023). Identifying effective cognitive biases in information retrieval. Journal of Information Science, 49(2), 348–358. https://doi.org/10.1177/01655515211001777 . CILIP members have full text access. See https://www.cilip.org.uk/page/memberonlyjournals for access details.
ReplyDelete