This file contains the slide deck(s) used for the CresCine WP7.3 technical workshops on the CineFlux (Cineflux) audience-modelling workstream. The material documents the progression from an initial comparative “biases between countries” MVP concept (Workshop 1) to an empirically informed modelling pipeline and an interpretable, explanatory dashboard concept (Workshops 2 and subsequent updates). The deck combines (i) the project rationale and use-cases for public film funders and policy stakeholders, (ii) exploratory analyses of large-scale audience reviews (e.g., Letterboxd and Rotten Tomatoes) using hierarchical topic modelling and mixed-method interpretation (including verb/adjective frequency profiling and LLM-assisted coherence summaries), and (iii) a theoretically grounded, hierarchical five-dimensional model for film–audience characterisation. The model is operationalised via fine-grained binary/ternary “micro-features” that are saturated using LLM prompts and transparently aggregated into interpretable scores, supporting an explicit epistemic stance: explanation rather than prediction. In addition to the conceptual framework, the document includes concrete examples (e.g., “The Girl with the Needle”, “Kneecap”, “Amelia’s Children”), interim morality/bias scoring prototypes, system-architecture notes, data-tiering and saturation strategy, and dated status updates and planning milestones across 2025 (e.g., March–November updates, scheduling adjustments for digital focus groups, and dashboard mock-up planning).
Pita et al. (Mon,) studied this question.