In crime stories, time sometimes work differently. Tampering with a crime scene might be shocking because it feels like a place that is outside of time. There is a singular moment of the crime or a timeline or a period where an alibi is needed. Time might be split into two: before and after. But, as the dirty cop that arrives first on the scene or transfers evidence can tell you: time hasn’t actually stopped.
Archives are also supposed to be time machines but time does not actually stop for them. A crawl of a website captures a website at a certain moment and creates a web archive that we differentiate from the live web.
Even advanced web crawling technologies are often unable to fully capture or replay dynamic web content, resulting in archived web pages that do not resemble their original, live websites.
Reyes Ayala, Brenda. 2021. “When expectations meet reality: common misconceptions about web archives and challenges for scholars.” International Journal of Digital Humanities, https://doi.org/10.1007/s42803-021-00034-3
Sometimes we have metadata to create timelines but sometimes we make assumptions about these timelines because we think of archives as time machines.
For example, the data that is generated through search and filter changes, taking into account our own interactions with it, too and not in a linear way: an order by date search contradicting actual timetravel. For example, elements can be backdated and that could be the information our search relies on or elements can be deleted and uploaded again, anonymised and revealed, abandoned and reordered.
Websites change over time, and the addition of a single webpage with a few new links can potentially lead the crawler to discover and capture even more content than anticipated.
Reyes Ayala, Brenda. 2021. “When expectations meet reality: common misconceptions about web archives and challenges for scholars.” International Journal of Digital Humanities, https://doi.org/10.1007/s42803-021-00034-3
When we think about searches on the Archive of Our Own, ordering by bookmarks, kudos and comments, date: most of these can be edited in a way that makes it possible for numbers both to go up and down. Other interactions are also not shown: it is possible that a work was the newest or the most kudosed work for a long while and ended up at the top of specific searches, this high visibility led to many bookmarks. This information loses its visibility and can only be gleaned in analyses and contradictions.
A website contains pages, or elements that are not seemingly important but help “behind the scenes” to make other elements or pages render correctly or function properly. This is knowledge that is known by the (Archive-It) employee, but usually unknown or invisible to the institutional web archivist.
Reyes Ayala, Brenda. 2021. “When expectations meet reality: common misconceptions about web archives and challenges for scholars.” International Journal of Digital Humanities, https://doi.org/10.1007/s42803-021-00034-3
Sometimes these contradictions are clear to the archivist because of their familiarity with the live website , other times, the necessary analyses is built into the design of the research because of familiarity with how websites work. When we step into our time machine, it is only the start of a journey.
Author: Szabó Dorottya
