Uncovering Digital Trace Data Biases: Tracking Undercoverage in Web Tracking Data-Reference-Cited by-同舟云学术

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Uncovering Digital Trace Data Biases: Tracking Undercoverage in Web Tracking Data

Published:2024-09-08 Issue: Volume: Page:1-21
ISSN:1931-2458
Container-title:Communication Methods and Measures
language:en
Short-container-title:Communication Methods and Measures

Author:

Bosch Oriol J.¹²³⁴,Sturgis Patrick³,Kuha Jouni³,Revilla Melanie⁵

Affiliation:

1. Leverhulme Centre for Demographic Science, Nuffield Department of Population Health, University of Oxford, Oxford, UK

2. Nuffield College, University of Oxford, Oxford, UK

3. Department of Methodology, The London School of Economics and Political Science, London, UK

4. Research and Expertise Centre for Survey Methodology, Universitat Pompeu Fabra, Barcelona, Spain

5. Institut Barcelona Estudis Internacionals (IBEI), Barcelona, Spain

Funder

H2020 European Research Council

H2020 European Research Council Ministerio de Ciencia e Innovación Leverhulme Trust Large Centre Grant LCDS Fundacion BBVA

European Research Council

Leverhulme Trust Large Centre Grant LCDS

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19312458.2024.2393165

Reference48 articles.

1. Total Error in a Big Data World: Adapting the TSE Framework to Big Data

2. How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use

3. Messages Received: The Political Impact of Media Exposure

4. Bosch O. J. (2023). Validity and reliability of digital trace data in media exposure measures: A multiverse of measurements analysis. https://doi.org/10.31235/osf.io/fyr2z

5. Bosch O. J. Asensio M. & Roberts C. (2024). What is the best way of collecting data donations in an online survey? An experiment assessing the feasibility of different data donation approaches to measure mobile and app usage. https://doi.org/10.31235/osf.io/q8v35

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