Web archive analytics: Blind spots and silences in distant readings of the archived web.

In this article, we discuss epistemological and methodological aspects of web archive analytics, a recent development towards more data-centred access to web archives. More specifically, we suggest understanding both the process of archiving and subsequent steps of analysis at scale as acts of obser...

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Published in:Digital Scholarship in the Humanities Vol. 38; no. 3; pp. 1033 - 1049
Main Authors: Donig, Simon, Eckl, Markus, Gassner, Sebastian, Rehbein, Malte
Format: Article
Published: Oxford University Press / USA Sep2023
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Web archive analytics: Blind spots and silences in distant readings of the archived web.
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          Donig, Simon
          Eckl, Markus
          Gassner, Sebastian
          Rehbein, Malte
        affil:
          Herder Institute for Historical Research on East Central Europe—Institute of the Leibniz Association, Digital Research and Information Infrastructures
          Department of Social Work, University of Applied Sciences Fulda
          Faculty of Arts and Humanities, University of Passau
      su:
        Web archives
        Web analytics
        Access to archives
        Internet content
        Social scientists
        Workflow management
        Latent class analysis (Statistics)
      sug:
        subj:
          Web archives
          Web analytics
          Access to archives
          Internet content
          Social scientists
          Workflow management
          Latent class analysis (Statistics)
      ab: In this article, we discuss epistemological and methodological aspects of web archive analytics, a recent development towards more data-centred access to web archives. More specifically, we suggest understanding both the process of archiving and subsequent steps of analysis at scale as acts of observation that can be questioned for their epistemological priori. Therefore, we propose the concepts of 'blind spots' (features of the live web not included upon creation in the archive) and 'silences' (latent features present in the archive but requiring a particular method to be made articulate). In particular, we address two forms of silences playing a structural role in web archive analytics, crucial to both historians and social scientists alike: abundance (or scale) and time. We trace epistemological implications of web archive analytics across an exemplary case study workflow and suggest methodological answers to the issues raised in this process. On the data extraction side, we introduce warc2corpus (w2c), a new tool for extracting granular, structured data, especially temporal information related to the creation, modification, and publication specifically of webpages. For data analysis, we demonstrate how distant reading techniques—more specifically structural topic modelling (STM)—can contribute to providing a rich, temporally structured representation of textual web archive content that in turn can be subjected to scholarly inquiry, interpretation, and re-contextualization.
      pubtype: Academic Journal
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    language: English
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      custom: © 2019 EADH: The European Association for Digital Humanities.
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