Generolo Jono Žemaičio Lietuvos karo akademija

This article focuses on modeling the spread of disinformation narratives on social media using the SEDPNR epidemiological model, an extension of the basic SEIR model that takes into account the specifics of digital communication. This includes the existence of a "doubt" phase and the division of active users according to their sentiment polarity. The analyzed data describe a specific disinformation narrative, “Biolabs Ukraine,” that spread in connection with the Russian invasion of Ukraine. The results demonstrate that the dissemination of the narrative exhibits characteristics of an infodemic wave: a rapid increase, a brief peak, and a subsequent decline. The analysis confirms the significant role of active users and shows that supportive and critical reactions both contribute to the further dissemination of content.

This study examines the tone of language in sustainability report, focusing on the construction industrial sector of companies listed in Indonesian Stock Exchange year 2010 until 2018. This study analyzed 152 sustainability report using sentiment analysis method wrote in python code. This study shows that around 68%-79% of disclosures in sustainability reports show positive sentiment. These results indicate a high level of corporate accountability in the construction industry related to sustainability. This research contributes to stakeholders in making comprehensive decision related to company’s accountability.