Proceedings of the International scientific and practical conference ―Oxford International Science Forum‖ (April 17-19, 2026) / Publisher website: www.naukainfo.com. - Oxford, United Kingdom, 2026. - 367 p.

106 Funding dynamics and temporal patterns. Another important aspect concerns the temporal structure of support. Crowdfunding campaigns often exhibit identifiable patterns such as strong initial peaks, stagnation in the middle stage, late spikes, or multi-wave activity associated with updates and communication events [1, 5-7]. Narrative and Textual Effects. Project descriptions, titles, updates, and comments contain semantic and rhetorical signals that can influence campaign outcomes. These signals include tone, specificity, emotional intensity, thematic focus, narrative coherence, and perceived credibility [4-6]. Campaign typologies and segmentation. CD can also be used to identify campaign types, such as fast-growing campaigns, slow-growing campaigns, socially- empowered campaigns, narrative-driven campaigns, or volatile and risky campaigns [2-3, 6]. Anomalies and suspicious patterns . Further research focuses on identifying irregular or suspicious behavior, including unusual spikes in contributions, inconsistent patterns of engagement, and discrepancies between the quality of the campaign narrative and the dynamics of support. Such metrics are relevant for monitoring trust and controlling platform risk [6, 10]. Obtained problem statement . Let there be a set of crowdfunding campaigns: = * 1 , 2 , … , + , where each campaign is represented by a heterogeneous tuple: = ⟨ , , , , , ⟩ , where denotes numerical and financial indicators, - categorical attributes, - textual and narrative data, temporal campaign dynamics, - social and interaction-related signals, and - contextual platform features. The analytical problem is to define a set of tools and methods that allow: • to collect and harmonize heterogeneous CD from different platforms and sources; • to extract informative numerical, temporal, semantic, and behavioral characteristics; • to identify factors associated with campaign success or failure;