While chronological naming ensures that files remain in order when sorted by name, it creates a "semantic gap." In academic and professional research, a filename like this is considered "ambiguous" because the name itself does not reflect the content of the image. Without a searchable database or manual renaming, these files become difficult to retrieve for later use.
This paper explores the implications of automated file naming conventions used by web-based productivity tools. Using "OnPaste.20221201-121851.png" as a primary artifact, it examines how default timestamps serve as both a reliable metadata record and a barrier to long-term digital organization. The study argues that while automation increases short-term efficiency, the lack of descriptive keywords in "on-paste" generated files contributes to "digital dark matter"—data that is stored but remains virtually unsearchable without advanced forensic or AI-driven tools. 1. Introduction OnPaste.20221201-121851.png
In the modern digital workflow, the "copy-and-paste" method has evolved from a simple text transfer to a sophisticated mechanism for capturing visual data. Tools like OnPaste allow users to bypass traditional "Save As" prompts, automatically generating filenames based on server-side logic. While chronological naming ensures that files remain in
Identifies the software or source of the capture. Date (20221201): Points to December 1, 2022. Time (121851): Precise second-level timestamp (12:18:51). Using "OnPaste