Abstract Wikipedia, Hello. I am recently thinking about the generation of natural-language stories from Wikidata data, e.g., graphs of interrelated real-world historical events. I am thinking about whether resultant machine-generated stories would be objectively or subjectively narrated. These topics appear to pertain to the philosophy of history [1] and neutrality [2], resembling encyclopedists' ideals of neutrality with respect to point of view [3]. In my opinion, there would be much to learn from developing natural-language story generating systems which could have parameters set or which could receive secondary input data to subsequently produce subjective stories. With such systems, developers could control and vary the subjectivities of resultant natural-language output, e.g., as pertaining to sentiment. What do you think about the idea that natural-language story generating systems could use parameters or additional inputs to vary the subjectivities of the output? Without a means of controlling and varying the subjectivities of output stories and language, shouldn't one desire for the output to be as measurably objective as possible? What do you think about providing the capability for developers to be able to trace backwards from natural-language outputs (from words, phrases, sentences, and paragraphs) into source code and data? Developers would, then, be able to more readily version software and data utilizing metrics and evaluation tools, e.g., Grammarly or sentiment analysis. In theory, systems could provide accompanying “debugging data” alongside natural-language outputs, this data including mappings from selections of natural language, wikitext, or hypertext to stack traces or other data structures. Best regards, Adam Sobieski [1] https://en.wikipedia.org/wiki/Philosophy_of_history [2] https://en.wikipedia.org/wiki/Philosophy_of_history#Philosophy_of_neutrality [3] https://en.wikipedia.org/wiki/Wikipedia:Neutral_point_of_view