A Framework for Collecting, Processing and Analyzing Scientific Data on Social Media Authors
Thiago Magela Rodrigues Dias, Rafael Gonçalo Pereira Ribeiro, Patrícia Mascarenhas Dias · Advanced notes in information science · 2025
With the increasing use of social media, it has become increasingly important to understand how scientific publications are disseminated and discussed on these online platforms. The analysis of these data on interaction and circulation of scientific research has been investigated in altmetrics studies and can provide valuable information on how science is perceived and shared by the general public. This work aims to propose a platform for the collection and analysis of social data related to scientific publications, focusing on the video sharing platform YouTube. By collecting data from YouTube, the platform seeks to understand how scientific publications are disseminated and discussed on social media. In the solution developed, called Social4Science, it is possible to obtain social data from YouTube and correlate it with scientific data from publications, allowing the analysis of several metrics. This approach makes it possible to identify trends and patterns in discussions about scientific publications on social media. The results obtained demonstrated that the proposed platform is quite promising in providing a deeper understanding of the interaction between science and the public, and it also opens possibilities for future studies on this topic. Understanding how scientific publications are received and discussed on social media is essential for scientific communication and for building bridges between the scientific community and the general public. The proposed platform contributes to this understanding, allowing researchers and professionals in the field to identify opportunities for engagement and develop effective strategies for scientific dissemination.