Semantic Scholar Open Access 2019 396 sitasi

Social media data for conservation science: A methodological overview

T. Toivonen V. Heikinheimo Christoph Fink A. Hausmann Tuomo Hiippala +3 lainnya

Abstrak

Abstract Improved understanding of human-nature interactions is crucial to conservation science and practice, but collecting relevant data remains challenging. Recently, social media have become an increasingly important source of information on human-nature interactions. However, the use of advanced methods for analysing social media is still limited, and social media data are not used to their full potential. In this article, we present available sources of social media data and approaches to mining and analysing these data for conservation science. Specifically, we (i) describe what kind of relevant information can be retrieved from social media platforms, (ii) provide a detailed overview of advanced methods for spatio-temporal, content and network analyses, (iii) exemplify the potential of these approaches for real-world conservation challenges, and (iv) discuss the limitations of social media data analysis in conservation science. Combined with other data sources and carefully considering the biases and ethical issues, social media data can provide a complementary and cost-efficient information source for addressing the grand challenges of biodiversity conservation in the Anthropocene epoch.

Topik & Kata Kunci

Penulis (8)

T

T. Toivonen

V

V. Heikinheimo

C

Christoph Fink

A

A. Hausmann

T

Tuomo Hiippala

O

O. Järv

H

H. Tenkanen

E

E. Di Minin

Format Sitasi

Toivonen, T., Heikinheimo, V., Fink, C., Hausmann, A., Hiippala, T., Järv, O. et al. (2019). Social media data for conservation science: A methodological overview. https://doi.org/10.1016/J.BIOCON.2019.01.023

Akses Cepat

Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
396×
Sumber Database
Semantic Scholar
DOI
10.1016/J.BIOCON.2019.01.023
Akses
Open Access ✓