Intelligent Networks for Real-Time Data: Solutions for Tracking Disinformation

The current society faces a disturbing landscape, surrounded by high-intensity information disorders, especially after the popularisation of artificial intelligence. In this context, many journalists have been forced to improve their ability to participate in the public debate and develop skills that allow them to distinguish constructive from destructive users in order to reduce threats and vulnerabilities. A liquid scenario requires more than ever analytical journalists. Data journalists have an internal impact on the editorial decision-making. Among the new functions, information professionals must assemble multiple data to configure a reliable quality response and avoid biases. To do so, it is essential to manage data literacy, to recognise the potential of invisible data, and the practice of forensic analysis. Reading metadata is a requirement for tracking disinformation. Data expertise constitutes a new terrain of engagement in order to create a fruitful dialogue with audiences, as well as the ability to detect the power of intelligent networks. This chapter explores how journalists have found new rules to survive and proposes a guide to implement relevant “invisible” routines. The purpose of this investigation and reflection focuses on the intelligent use of social networks and new apps, in order to detect trends and possible threats in real time from an analytical perspective.