Knowledge maps for large‐scale group decision making in social media content analysis

Abstract

AbstractLarge‐scale group decision making in social media content analysis, empowered by Artificial Intelligence tools, offers valuable insights in management research. The purpose of this paper is to identify and interpret the knowledge maps that emerge in social media research, based on deep learning algorithms and neural networks' impact in social content analytics. We conducted qualitative research, by analysing relevant articles focused on the role played by deep learning and neural networks in social media content analysis. The key themes retrieved from the selected articles have been included in visual representations, provided by Nvivo12 software, considering its text‐mining capabilities. We are aware that large‐scale group decision making (LSGDM) offers solutions for research issues on social media content analysis. This qualitative research highlights the value of LSGDM skills for researchers that developed an AI platform prototype for social media content analysis.