Illustrative Rendering, Visualization, and Human-Computer Interaction > AVIZ > Inria Saclay / Université Paris-Saclay > Inria

Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as well as their Visualization

Description:

 

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.

Paper download:  (regular version, 43.5 MB)  (version for readers with color impairments, 43.6 MB)

Pictures:

 

All self-created pictures that we use and discuss in the paper are available under a Creative Commons Attribution 4.0 International (CC-BY 4.0) license in a dedicated OSF repository.

Main Reference:

Tobias Isenberg, Zujany Salazar, Rafael Blanco, and Catherine Plaisant (2022) 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. To appear.
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BibTeX entry:


@ARTICLE{Isenberg:2022:DYB, author = {Tobias Isenberg and Zujany Salazar and Rafael Blanco and Catherine Plaisant}, title = {Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as well as their Visualization}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2022}, doi = {10.1109/10.1109/TVCG.2022.3141605}, doi_url = {https://doi.org/10.1109/10.1109/TVCG.2022.3141605}, oa_hal_url = {https://hal.inria.fr/hal-03516682}, osf_url = {https://osf.io/u8ejr/}, url = {https://tobias.isenberg.cc/VideosAndDemos/Isenberg2022DYB}, pdf = {https://tobias.isenberg.cc/personal/papers/Isenberg_2022_DYB.pdf}, }

Other Reference:

Rafael Blanco, Zujany Salazar, and Tobias Isenberg (2019) Exploring Carnivorous Plant Habitats based on Images from Social Media. In Steffen Koch, Tatiana von Landesberger, Christopher Collins, Nathalie Henry Riche, Jian Chen, and Daniel Jönsson, eds., Posters at the IEEE Conference on Visualization (IEEE VIS, October 20–25, Vancouver, Canada). 2019. Extended abstract and poster.
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BibTeX entry:


@INPROCEEDINGS{Blanco:2019:ECP, author = {Rafael Blanco and Zujany Salazar and Tobias Isenberg}, title = {Exploring Carnivorous Plant Habitats based on Images from Social Media}, booktitle = {Posters at the IEEE Conference on Visualization (IEEE VIS, October 20--25, Vancouver, Canada)}, editor = {Steffen Koch and von Landesberger, Tatiana and Christopher Collins and Henry Riche, Nathalie and Jian Chen and Daniel J{\"o}nsson}, year = {2019}, oa_hal_url = {https://hal.inria.fr/hal-02196764}, pdf = {https://tobias.isenberg.cc/personal/papers/Blanco_2019_ECP.pdf}, }

This work was done at the AVIZ project group of Inria, France.