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I began by interviewing an academic who had worked at the University of East Anglia about her memories of the physical aspects of the campus.
To solve this problem we conducted several experiments to determine when the resource was created automatically.
When a resource is created it often gets indexed in the search engines, archived in the public archives, and shared in the social media thus leaving trails of existence.
We trace those trails of existence and use the first appearance of the first trail as a close estimate of the creation date.
The timeline below illustrates a common scenario of the lifetime of a resource.
(note: Carbon Date 2.0 was released on 2014-11-14) In the course of our research we often needed to determine when a certain web resource was created.
In numerous cases, this question is fairly straightforward to answer by examining the resource itself.
Articles often have publishing datetime stamps, social media contributions have posting time, and others you can estimate the creation date from reading the resource itself.
This process is simple upon manually examining the resource, but when the dataset of resources is large it is harder to automate.
We also examined the existence of a last modified timestamp in the resource’s header and the feasibility of using it as an estimate of creation date.
We also examine the resource’s backlinks and in turn estimate their creation date which could be easier to extract, which gives us an insight on when the resource was created too.
In order to test the accuracy of our estimation we collected 1200 resources which we can manually extract the creation date from different sources.