Evaluating security and privacy issues of social networks based information systems in Industry 4.0
José Ramón Saura, Domingo Ribeiro Soriano, Daniel Palacios‐Marqués · Enterprise Information Systems · 2021
The present study aimed to analyse the main risks related to security and privacy of social networks based information systems in Industry 4.0. The methodology we used is an innovative exploratory data-driven process divided into three steps. First, we performed sentiment analysis to divide the database composed of 67, 206 tweets into feelings. Second, we applied a topic-modelling algorithm to extract topics. Third, we applied textual analysis to collect insights. A total of 10 topics related to security and privacy issues were identified as results. The paper concludes with a discussion of the challenges and main concerns related to the identified topics.