... Emerald Publishing Limited Licensed re-use rights only Deepfakes Misinformation Fake news Deep learning Bibliometric In a nutshell, the following are the contributions of this article: Providing a wide overview of the topic of social and psychological impact of deepfake videos...

... and application of natural language processing and deep learning in the domain of music genre classification, while also contributing to the broader themes of global knowledge and communication, and sustainable preservation of cultural heritage. Design/methodology/approach The main contribution of this study...

...Annie Singla; Rajat Agrawal Purpose This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time. Design/methodology/approach iStage acquires data from the Twitter platform...

... into need-based, availability-based, situational-based, general and irrelevant categories and visualizes them on a web interface, location-wise. Design/methodology/approach It is worth mentioning that a fusion-based deep learning (DL) model is introduced to objectively determine the nature of an SM...

...Annie Singla; Rajat Agrawal Purpose This study aims to propose a novel deep learning (DL)-based framework, iRelevancy, for identifying the disaster relevancy of a social media (SM) message. Design/methodology/approach It is worth mentioning that a fusion-based DL model is introduced...