Turkish Journal of Earth Sciences
DOI
10.55730/1300-0985.1892
Abstract
The continent of Antarctica is one of the most challenging regions in terms of generating and updating geodata. Extensive research has been conducted on geodata acquisition, primarily focusing on earth observation satellites and local surveys in polar regions. Earth observation satellites offer limited spatial, temporal, and semantic data, while local surveys are constrained by polar regions' size and challenging conditions. This article delves into the crowdsourced data, aiming to significantly enhance geodata contribution in polar regions beyond current methods. To our knowledge, this study is the first of its kind to address social media data, a form of crowdsourcing, specifically for the Antarctic continent. Encompassing 5 years of social media data collection, the study uniquely presents original insights by investigating data reliability based on user activity levels and user movement consistency. The primary outcome of the study is that the activity level of users negatively correlates with spatial behavior consistency. This indicates that dominant user influence has led to inconsistent content manipulation. However, while the overall rate summary indicates a high inconsistency ratio for the active group, there still exists consistent behavior within these groups. A tight method to discriminate these reliable data generators with consistent behavior should be aimed as proposed in this study to prevent valuable data loss. This study contributes to reliable data scrutiny techniques from social media data in a general sense while providing a glimpse into the spatial quality of data generated specifically for Antarctica. This glimpse will enable future assessments of data collected in Antarctica for reliability checks and offer benefits in terms of processing workload and result accuracy in preprocessing steps for text, image, and spatial-based data processing.
Keywords
Polar monitoring, crowdsourcing, new forms of geodata, geo-social media
First Page
1041
Last Page
1051
Recommended Citation
GENGEÇ, AYŞE GİZ GÜLNERMAN
(2023)
"Exploring crowdsourcing accountability for mapping Antarctica: a case study using 5 years of social media data,"
Turkish Journal of Earth Sciences: Vol. 32:
No.
8, Article 9.
https://doi.org/10.55730/1300-0985.1892
Available at:
https://journals.tubitak.gov.tr/earth/vol32/iss8/9