Skip to content

Glossary · ESL writing & AI detection

Hedging (academic writing)

Hedging is the use of softening language — may, might, suggest, appear, tend to — to match the strength of a claim to the strength of the evidence behind it. In academic English, a hedged claim is not a weak claim; it is a calibrated one.

Academic English hedges constantly: may, might, suggest, appear, indicate, it is likely that. The function is precision, not politeness — you are telling the reader exactly how far your evidence goes.

For non-native writers, hedging is a two-sided trap. Some academic cultures reward direct assertion, so writers transfer flat claims into English:

  • Too strong: "This proves that bilingual instruction improves retention."
  • Calibrated: "These results suggest that bilingual instruction may improve retention."

Others overcorrect and stack hedges — "it could perhaps be suggested that the results may possibly indicate" — which buries the finding and reads as evasive. A practical rule: one hedge per claim, placed on the verb (suggest, appear, indicate) usually does the job.

Hedging matters for ESL writers because it is one of the last academic skills acquired in a second language. It is pragmatic, not grammatical — no rule tells you when a claim needs may, so it rarely transfers from the first language. Reviewers read unhedged claims as overreach and over-hedged ones as lack of confidence, and both cost credibility.

There is also an AI-detection angle. Large language models hedge heavily and formulaically, so mechanical hedge-stacking can make human prose resemble machine output — to readers and to detectors alike. Hedging that varies in form and appears only where the evidence is genuinely uncertain reads human, because it is doing real work rather than filling a template.

Diglot is a bilingual writing editor built for the writers these terms describe — start for free, no credit card required.