Although the understanding of natural language has improved over the last couple of years - with research works emerging on the grounds of information extraction and text mining - the problem of constructing consistent narrative structures is yet to be solved. In the fourth edition of the Text2Story workshop, we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. Specifically, we aim to provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics:

• Narrative Representation Language
• Story Evolution and Shift Detection
• Event Identification
• Temporal Information Extraction
• Temporal Relation Identification
• Temporal Reasoning
• Causal Relation Extraction and Arrangement
• Event Detection, Profiling, Ordering and Linking
• Narrative Summarization
• Multi-modal Summarization
• Automatic Timeline Generation
• Storyline Visualization
• Temporal Aspects of Storylines
• Comprehension of Generated Narratives and Timelines
• Evaluation Methodologies for Narrative Extraction
• Resources and Dataset showcase
• Big data applied to Narrative Extraction
• Personalization and Recommendation
• User Profiling and User Behavior Modeling
• Sentiment and Opinion Detection in Texts
• Argumentation Mining
• Credibility
• Models for detection and removal of bias in generated stories
• Ethical and fair narrative generation
• Fact-Checking
• Bias in Text Documents
• Bots Influence
• Information Retrieval Models based on Story Evolution
• Temporal Information Retrieval and Narrative Extraction
• Narrative-focused Search in Text Collections
• Event and Entity importance Estimation in Narratives