RT info:eu-repo/semantics/article
T1 Automated image extraction from Instagram for social research
A1 Varela-Rodríguez, Miguel
A1 Vicente-Mariño, Miguel
AB The use of social media data in social research has grown exponentially since the early 2010s, with many social researchers incorporating some degree of social media analysis. Following the 2018 Cambridge Analytica controversy, most social media providers locked access to their users’ data, leaving researchers with limited options to study the information in it. Scholars have taken different stands, advocating data policies that allow for critical research, achieving partnerships with data providers, or—sometimes—violating the Terms of Use of the platforms to access the information. Despite the limitations, great progress has been made using text-based data, while image-based methodologies remain limited, partly because of the lockout. This paper proposes a methodology for automated image extraction from Instagram, using Instalooter. It presents the necessary setup and steps to obtain images based on a series of search parameters before discussing the ethical implications of its potential use.
PB Association for Computing Machinery
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/81923
UL https://uvadoc.uva.es/handle/10324/81923
LA eng
NO TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing MulticulturalityOctober 21 - 23, 2020
DS UVaDOC
RD 15-mar-2026