A framework for collecting, processing, and analyzing scientific data on social media

Abstract

Given the increasing use of social media, it became imperative to understand the dissemination and discussion of scientific publications on these online platforms. The analysis of these data on interaction and circulation of scientific research was investigated in altmetrics studies and provided valuable information on how science was perceived and shared by the general public. The objective of this study was to propose a platform for the collection and analysis of social data related to scientific publications, with a focus on the video-sharing platform YouTube. By collecting data from YouTube, the platform sought to understand how scientific publications were disseminated and discussed on social media. The Social4Science solution facilitated the acquisition of social data from YouTube and its correlation with scientific data from publications, enabling the analysis of multiple metrics. This methodological approach facilitated the identification of trends and patterns in discourse concerning scientific publications on social media. The findings indicated that the proposed platform held considerable promise in fostering a more profound comprehension of the interaction between science and the public. Furthermore, it had the potential to generate new avenues for future research in this domain. It was imperative to comprehend the manner in which scientific publications were received and discussed on social media platforms. This understanding was crucial for effective scientific communication and for fostering connections between the scientific community and the general public. The proposed platform contributed to this understanding, allowing researchers and professionals in the field to identify opportunities for engagement and develop effective strategies for scientific dissemination.