mlsanityData to 7 Oct 2026

Neighboring Words Affect Human Interpretation of Saliency Explanations

arXiv 2305.02679 ↗First posted 4 May 2023cs.CL cs.HCcited by 4

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Abstract (arXiv)

Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such as word length can distort human interpretation of the communicated saliency scores. We conduct a user study to investigate how the marking of a word's neighboring words affect the explainee's perception of the word's importance in the context of a saliency explanation. We find that neighboring words have significant effects on the word's importance rating. Concretely, we identify that the influence changes based on neighboring direction (left vs. right) and a-priori linguistic and computational measures of phrases and collocations (vs. unrelated neighboring words). Our results question whether text-based saliency explanations should be continued to be communicated at word level, and inform future research on alternative saliency explanation methods.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 23 of its 42 references that are in the map. First posted on arXiv 4 May 2023.

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23 of 42 references.

References · 23

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11 more
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4 papers.