Unveiling the ethical void: Bias in reference citations and its academic ramifications
Open accessAbstract
Citation bias receives scant attention in discussions of ethics. However, inaccurate citation may lead to significant distortions in scientific understanding. Although ethnical and gender citation disparities have been proposed as critical aspects, there are other contributors to citation distortions, like region-based citation bias, that, although less recognized within the scientific community, are equally important. While the foundations of scientific citation include acknowledging pioneers, giving credit to related work, and providing background reading, other more subjective or even questionable criteria are often used when constructing a reference lists. Here, we discuss the potential causes and ethical concerns of citation bias, emphasizing the role of international- or region-based citation bias as one of the most harmful aspects of this ethical breach. We argue that the international scientific community should be aware of this problem and recognize its consequences, which include hindering the accurate dissemination of science, marginalizing underrepresented voices in academia, and impeding scientific progress. We advocate that scientists should compile their reference lists with the same seriousness and integrity they apply to all other aspects of their research.
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Citation error further marginalises underrepresented voices by mixing known discriminatory social factors into empirical relevance.
“to further marginalise underrepresented voices by mixing known discriminatory social factors, like popularity, accessibility and eminence, into empirical relevance”
From Adding a simple log to in-text citations to strengthen information literacy and argumentation while blocking casual misuse of generative AI (2026) · cites this paper as Mattiazzi & Vila-Petroff, 2024
The paper states that unequal citation practices marginalize underrepresented voices and describes prejudice and limited research visibility as contributors to citation disparities (sections labeled Abstract; no page supplied). It does not identify popularity, accessibility, and eminence as a set of discriminatory factors mixed into assessments of empirical relevance. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCitation error hinders accurate dissemination of scientific knowledge by worsening the signal-to-noise ratio in scientific communication.
“Citation error is argued to hinder accurate dissemination of what we have learned by worsening the signal to noise ratio in scientific communication”
From Adding a simple log to in-text citations to strengthen information literacy and argumentation while blocking casual misuse of generative AI (2026) · cites this paper as Mattiazzi & Vila-Petroff, 2024
The paper states that distortions in reference lists hinder the accurate dissemination of science (passage [1], section labeled Abstract; no page given). It does not describe this effect as a worsening of the signal-to-noise ratio in scientific communication, so that mechanism is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCitation error slows scientific progress by introducing errors into subsequent research.
“and to slow scientific progress by introducing errors into subsequent research”
From Adding a simple log to in-text citations to strengthen information literacy and argumentation while blocking casual misuse of generative AI (2026) · cites this paper as Mattiazzi & Vila-Petroff, 2024
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A standardized citation metrics author database annotated for scientific field
Ioannidis, J. P. A., Baas, J., Klavans, R., & Boyack, K. W. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000384 · Cited by 356 · cited 2× · see citing works
“…like inappropriate self-citations, wrong, honorary or reciprocal citations, gender and race bias (Vickers, 1995; Taylor, 2002; Corbyn, 2010; Ioannidis et al., 2019; Dworkin et al., 2020; Kozlowski et al., 2022; Jaffar et al., 2023), that we will further discuss below, which must be…”
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Cash incentives for papers go global
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Flagged first, then by citations
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Tamas, P., & Kamminga, L. (2026) · Journal of Information Literacy · doi:10.11645/20.1.847
- Authors
- Mattiazzi, A., & Vila-Petroff, M.
- Affiliations
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Corresponding author
- Mattiazzi, Alicia
- ORCID
- Mattiazzi, Alicia
- Venue
- Current Research in Physiology
- Publisher
- Elsevier BV
- Published
- 2024
- Volume
- 7
- Pages
- 100130
- ISSN
- 2665-9441 (ISSN-L)
- PMC
- PMC11341931
- OpenAlex
- W4401009021
- Cited by
- 6
- References
- 3
- Citations by year
- 2026: 4 · 2025: 2
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Current Research in Physiology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Conicet (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Council
- Consejo Nacional de Investigaciones Cientificas y Tecnicas (PIP 0627)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Keywords
- citation bias, citation ethics, works cited, scientific integrity, underrepresented researchers
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