The Next Level of Writing
Data Driven Fiction
"Start with a single seed."
What do you think it means? Is it something along the lines of "one thing leads to another"? Or is it that if you plant one idea, then many other possibilities will have to come and more positive changes? And do they all have to happen in someone's life for this circular shape to be complete? These questions and more are what this story is about. This article explores how big data insights can help writers, organizations, and societies of all types are more efficient, effective, and positive.
Data-Driven Fiction has its origins in data-driven journalism and research visualization. However, Data-Driven Fiction allows for novel approaches to the composition of Fiction and narrative techniques that are not possible to explore through traditional means. Data-Driven Fiction mixes data with anecdotes, characters, narration, and dialogue to craft stories.
Data-Driven Fiction offers new opportunities for the exploration of storytelling techniques. The format enables authors to experiment with different narrative perspectives; question literal authenticity; examine the nature, meaning, and purposes of authenticity in storytelling; construct plots in which data does not contain all possible knowledge or can be uncertain or contradictory (for instance, where there's ambiguity); employ tactics that explore the possibilities of falsification, and reflect on the relationship between narrative and data.
As with other forms of data-driven art, Data-Driven Fiction also enables us to explore our understanding of story and Fiction, their connection to technological developments, their relationship to truth (both literal and other-than literal), and their relationship to art. In addition, the high level of digital interactivity employed by Data-Driven Fiction allows for a range of ways for the viewer to follow the story and change it in complex ways.
Digital art digitizes and augments art. Data-Driven Fiction extends this process by increasing text.
All data is not equal: some data can be more beneficial than others, and some stories will benefit from a particular dataset or combination of datasets. Some data can dramatically affect the outcome of a story, such as where the reader goes next or what she decides to do with her life. Disinformation is the world of systematically misinforming, deceiving, or giving wrong information. The application of data-driven feedback can increase realism and relevance. Still, this kind of input may be better suited for generating stories that are less based on facts than those that are more factual in nature.
The Data-Driven Fiction movement is not focused on creating data-driven Fiction, but it is concerned with how the creative process can be enriched by data and analytics. The Data-Driven Fiction approach to storytelling can provide a lens to examine narrative techniques and challenges that have not been adequately addressed in traditional fiction writing. In doing so, this approach can stimulate new ideas for authors and a whole new generation of stories that are fit for our cybernetic times.
One of the most challenging things to do is knowing what makes a good story for writing. Of course, great plots and fascinating twists and turns are all great for Fiction, but any writer will tell you that sometimes these elements can emerge by themselves in unexpected ways. This is not because they aren't well-thought-out or meticulously planned; it's because after you've poured your heart into the story, it can be challenging to know if your words come out well. So how do you know if your story is anything more than a fascinating tale?
Big data can help you find the answers to these questions. As big data has become more prevalent across all industry sectors, there has been an increase in predictive modeling and other forms of analytics to generate insights about the future. If you can figure out what can happen in the future, you may be able to avoid the sinking ship of stagnation and regression. The creative industry is no exception to this trend, and Data-Driven Fiction offers an excellent way for authors to apply these new forms of analytics in their own work.
AI art in Data-Driven Fiction works in three ways:
First, an AI art piece aims to demonstrate the ability of machine Learning (ML) to produce art and do so in an exciting manner. Second, it can explore how AI works and how it sees the world. Third, it can be used as a base for human creativity by showing what captivating work can be produced by AI systems.
The distinction between using data and analytics must be made explicit here. Data becomes data analytics when used in a system to produce insights, find anomalies, or uncover secrets. A data set can be analyzed and become an anomaly of interest to the reader. A dataset can be used as a basis for generating fictional characters, narrative plotlines, and theme-specific narratives. However, knowing the present does not necessarily tell you about the future. Your ability to reach conclusions from a set of data is a function of the specific dataset used and the AI's capabilities. This is about methodology-driven artworks which combine computer programming and art.
Data-Driven Fiction is a way to generate insight and develop new workflows. For example, Data-Driven Fiction can create immersive Fiction and provide readers with deeper insights into the narrative conception process. It can also provide artists with tools for creating more realistic artworks, much like virtual reality and augmented reality applications have become essential parts of contemporary entertainment.
The Data-Driven Fiction movement encourages collaboration between artists and data scientists, who can help validate the quality of an author's work by tracking how it is developed according to a specific plot structure or theme. The results of such testing can be used as input for selecting storyboards and narrative formulas. In addition, Data-Driven Fiction keeps artists connected to their audience; it ensures that they have access to feedback from a wider pool of readers and leads them to focus on developing better narratives.
"I believe things when they have a data-driven story behind them." - Dariusz Gross #DATAsculptor
Data-Driven Fiction is the future. It's about time that you jumped into it.
The whole article is part of the Data-Driven Fiction project; the data used was generated for the article's purpose. Therefore, the story is fiction and is not related to actual facts and real persons.
I am an Art Curator, founder at EvArtology. I advise companies and institutions in the creative industries on using AI tools in their daily work. Human collaboration with ML models can be very creative and bring huge benefits. The new era begins now.
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