Narrative Conflict Diagrams: Visualizing Summarization Bias through Contradictory Media Frames

Inspired by the use of diagrams and checklists for thought diversification (as in Hsiao et al., 2022, and systematic review methodologies), this project would develop a toolkit for visually mapping out how competing media outlets (e.g., Kompas.id vs. BBC, as in Putra, 2024) summarize the same political event or issue. Using computational text alignment and content analysis, the tool would generate diagrams showing where summaries overlap and where they diverge—especially in terms of framing, omitted information, and emotional or ideological tone. Such "narrative conflict diagrams" could be used by researchers, journalists, or educators to quickly identify sources of bias, points of interpretive disagreement, and even opportunities for more balanced reporting. This is a creative synthesis of media studies, computational linguistics, and visual analytics, offering a practical solution for comparative bias analysis.

References:

1. Narrative discourse of the Israel-Palestine issue in the framework of political communication: A comparative study of Kompas.id and BBC media. Ariandi Putra (2024). Islamic Communication Journal.
2. Narrative discourse of the Israel-Palestine issue in the framework of political communication: A comparative study of Kompas.id and BBC media. Ariandi Putra (2024). Islamic Communication Journal.
3. Generate Multi-Perspective Summarization with Pairwise Alignment Mechanism. Ching-Shiuan Hsiao, Jiun-An Tsai, Jung-Shiuan Liou, Yi-Shin Chen (2022). International Conference on Technologies and Applications of Artificial Intelligence.