Publikation:

Improving the Quality of Individual-Level Web Tracking : Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution

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Datum

2024

Autor:innen

Adam, Silke
Makhortykh, Mykola
Maier, Michaela
Aigenseer, Viktor
Urman, Aleksandra
Gil Lopez, Teresa
Christner, Clara
de León, Ernesto

Herausgeber:innen

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Angaben zur Forschungsförderung

Swiss National Science Foundation: 100001CL_182630/1
Deutsche Forschungsgemeinschaft (DFG): MA 2244/9-1

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

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Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Social Science Computer Review. Sage. ISSN 0894-4393. eISSN 1552-8286. Verfügbar unter: doi: 10.1177/08944393241287793

Zusammenfassung

This article evaluates the quality of data collection in individual-level desktop web tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard for the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic web tracking solution, WebTrack, an open-source tracking tool maintained by a major European research institution, GESIS. The design logic, the interfaces, and the backend requirements for WebTrack are discussed, followed by a detailed examination of the strengths and weaknesses of the tool. Finally, using data from 1,185 participants, the article empirically illustrates how an improvement in data collection through WebTrack leads to innovative shifts in the use of tracking data. As WebTrack allows for collecting the content people are exposed to beyond the classical news platforms, it can greatly improve the detection of politics-related information consumption in tracking data through automated content analysis compared to traditional approaches that rely on the source-level analysis.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

online tracking, automated content analysis, WebTrack, content, long-tail consumption

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ISO 690ADAM, Silke, Mykola MAKHORTYKH, Michaela MAIER, Viktor AIGENSEER, Aleksandra URMAN, Teresa GIL LOPEZ, Clara CHRISTNER, Ernesto DE LEÓN, Roberto ULLOA, 2024. Improving the Quality of Individual-Level Web Tracking : Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution. In: Social Science Computer Review. Sage. ISSN 0894-4393. eISSN 1552-8286. Verfügbar unter: doi: 10.1177/08944393241287793
BibTex
@article{Adam2024-10-16Impro-71021,
  year={2024},
  doi={10.1177/08944393241287793},
  title={Improving the Quality of Individual-Level Web Tracking : Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution},
  issn={0894-4393},
  journal={Social Science Computer Review},
  author={Adam, Silke and Makhortykh, Mykola and Maier, Michaela and Aigenseer, Viktor and Urman, Aleksandra and Gil Lopez, Teresa and Christner, Clara and de León, Ernesto and Ulloa, Roberto}
}
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Interner Vermerk

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