Open Access: Who are the Ghost Readers?
Michael E. Peskin

TL;DR
This paper introduces a method to analyze 'ghost readers' of Open Access journals by studying download patterns, revealing that their habits closely resemble those of institutional academic readers.
Contribution
The paper proposes a novel approach to infer the reading habits of anonymous Open Access users using download data, bridging a gap in understanding non-credentialed readership.
Findings
Ghost readers' habits are similar to institutional academic readers
Download patterns can reveal insights into anonymous readership
Method applied to Annual Reviews OA volumes
Abstract
To develop a funding model for Open Access journal publication, it is necessary first to understand who benefits. This is a difficult task, because, in Open Access, no credentials are needed to read a journal article, and, thus, those people who access journal articles through Open Access leave no self-identification. We might call these readers "ghost readers". In this paper, I propose a method to learn the reading habits of the ghost readers. I explore this method using a database of downloads from the Open Access volumes of the Annual Reviews journals. I find that the habits of the ghost readers are very similar to those of academic readers from known institutions.
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Taxonomy
TopicsTopic Modeling · Advanced Text Analysis Techniques · Information Retrieval and Search Behavior
