HackerPapers

arXiv:2512.23907cs.HC

Deletion Considered Harmful

Paul Englefield, Russell Beale

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

In a world of information overload, understanding how we can most effectively manage information is crucial to success. We set out to understand how people view deletion, the removal of material no longer needed: does it help by reducing clutter and improving the signal to noise ratio, or does the effort required to decide to delete something make it not worthwhile? How does deletion relate to other strategies like filing; do people who spend extensive time in filing also prune their materials too? We studied the behaviour of 51 knowledge workers though a series of questionnaires and interviews to evaluate a range of tactics they used aimed at organizing, filing, and retrieving digital resources. Our study reveals that deletion is consistently under-adopted compared to other tactics such as Filing, Coverage, Ontology, and Timeliness. Moreover, the empirical data indicate that deletion is actually detrimental to retrieval success and satisfaction. In this paper, we examine the practice of deletion, review the related literature, and present detailed statistical results and clustering outcomes that underscore its adverse effects.

arXiv comments
Journal reference
Proceedings of the 38th International BCS Human-Computer Interaction Conference, pp 212-221, 2025
DOI
doi:10.14236/ewic/BCSHCI2025.19
Subjects
cs.HCHuman-Computer Interaction cs.IRInformation Retrieval

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Jan 2026 to Jan 2026. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.