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Article Dans Une Revue IEEE Transactions on Visualization and Computer Graphics Année : 2022

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

Résumé

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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Licence : CC BY NC - Paternité - Pas d'utilisation commerciale
Commentaire : Main paper, version for people without color impairments.
Format : Figure, Image
Format : Figure, Image
Licence : CC BY - Paternité

Dates et versions

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

Identifiants

Citer

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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