New Journal Article: An AI-Driven News Impact Monitoring Framework Through Attention Tracking
The paper proposes a modern framework for studying the impact of news, which integrates artificial intelligence and attention tracking methods. The use of eye-tracking, mouse-tracking, social media analysis and navigation recording allows the simultaneous capture of cognitive and experiential parameters of the reception of news narratives.
Key contributions of the research:
- Development of the iMedius Form Builder, which allows the creation of polymorphic surveys with built-in attention tracking.
- Implementation of a pilot study for the perception of distorted images, combining self-referential and objective data.
- Adoption of participatory design (interdisciplinary co-design), with continuous evaluation cycles by social scientists and technology experts.
- Integration of social media analytics and browsing logging tools for a holistic study of audience-news interaction.
The methodology was based on Design Science Research principles and a spiral model, ensuring the scientific validity and practical usefulness of the system. The pilot demonstrated that attention tracking can reveal critical patterns in the evaluation of the reliability and authenticity of digital news.
This publication confirms iMedius' role as a comprehensive, AI-driven platform that combines social research with advanced analytics tools to understand information diffusion and audience reaction.
The iMedius project is funded by the Hellenic Foundation for Research and Innovation (HFRI), in the context of the national recovery and resilience plan "Greece 2.0".
