Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem
Social Science Computer Review, vol. 40, pp. 1496–1522
Abstract
Computational social science uses computational and statistical methods in order to evaluate social interaction. The public availability of data sets is thus a necessary precondition for reliable and replicable research. These data allow researchers to benchmark the computational methods they develop, test the generalizability of their findings, and build confidence in their results. When social media data are concerned, data sharing is often restricted for legal or privacy reasons, which makes the comparison of methods and the replicability of research results infeasible. Social media analytics research, consequently, faces an integrity crisis. How is it possible to create trust in computational or statistical analyses, when they cannot be validated by third parties? In this work, we explore this well-known, yet little discussed, problem for social media analytics. We investigate how this problem can be solved by looking at related computational research areas. Moreover, we propose and implement a prototype to address the problem in the form of a new evaluation framework that enables the comparison of algorithms without the need to exchange data directly, while maintaining flexibility for the algorithm design.
Authors 9
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Dennis Assenmacher corresponding
Queensland University of Technology · University of Münster
Affiliation as printed
Queensland University of Technology (QUT), Brisbane, Australia
University of Münster, Germany
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Defence Science and Technology Group · Department of Defence · The University of Adelaide
Affiliation as printed
Defence Science and Technology Group, Department of Defence, Canberra, Australian Capital Territory, Australia
University of Adelaide, South Australia, Australia
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Mike Preuß Aachen
Affiliation as printed
Universiteit Leiden, the Netherlands
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André Sergej Calero Valdez Aachen
Affiliation as printed
RWTH Aachen University, Germany
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Affiliation as printed
University of Edinburgh, United Kingdom
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Institute of Informatics and Telematics
Affiliation as printed
Institute of Informatics and Telematics (IIT-CNR), Pisa, Italy
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Affiliation as printed
University of Münster, Germany
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Affiliation as printed
University of Adelaide, South Australia, Australia
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Affiliation as printed
University of Münster, Germany
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