Do you believe your (social media) data? A personal story on location data biases, errors, and plausibility as well as their visualization - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2022

Do you believe your (social media) data? A personal story on location data biases, errors, and plausibility as well as their visualization

Abstract

We present a case study on a journey about a personal data collection of carnivorous plant species habitats, and the resulting scientific exploration of location data biases, data errors, location hiding, and data plausibility. While initially driven by personal interest, our work led to the analysis and development of various means for visualizing threats to insight from geo-tagged social media data. In the course of this endeavor we analyzed local and global geographic distributions and their inaccuracies. We also contribute Motion Plausibility Profiles-a new means for visualizing how believable a specific contributor's location data is or if it was likely manipulated. We then compared our own repurposed social media dataset with data from a dedicated citizen science project. Compared to biases and errors in the literature on traditional citizen science data, with our visualizations we could also identify some new types or show new aspects for known ones. Moreover, we demonstrate several types of errors and biases for repurposed social media data.
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Comment Main paper, version for people without color impairments.
Format Figure, Image
Format Figure, Image
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Dates and versions

hal-03516682 , version 1 (07-01-2022)
hal-03516682 , version 2 (10-02-2022)

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Tobias Isenberg, Zujany Salazar, Rafael Blanco, Catherine Plaisant. Do you believe your (social media) data? A personal story on location data biases, errors, and plausibility as well as their visualization. IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (9), pp.3277-3291. ⟨10.1109/TVCG.2022.3141605⟩. ⟨hal-03516682v2⟩
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