Analysis reveals algorithmic citation bias in academic writing platforms, suggesting automated tools push scholars to over-cite and suppress original interpretation.
“Cite your own thought” — when algorithms pressure scholars to attribute their own ideas Scholarly platforms increasingly prompt authors to add citations to conclusions they reached independently. These suggestions often appear after a source has already been cited and the author has moved on to original interpretation. The pattern reveals a subtle algorithmic bias: writing tools trained to treat confident, declarative claims as externally sourced by default. The effect is to discourage original synthesis and push scholars to over-cite or obscure their own analytical voice. The presentation “The Citation Trap: How to Signal Original Ideas in Academic Writing” offers practical language strategies for marking analysis as one’s own and reducing unnecessary citation prompts. Comments and shared experiences are welcome.
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Mopelola Fatile (2026) studied this question.
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