Fiksert

Fiksert is a term used in a small number of online communities and scholarly discussions to describe the deliberate insertion or fabrication of fictional content within real-world material for analysis, testing, or illustration. There is no universally accepted definition, and the term is applied differently across fields.

Etymology and origin are informal; fiksert appears to be a blend of fiction and insert or insertion. The word has circulated mainly in digital culture, media studies, and some AI/data science discussions from the late 2010s onward, without official standardization or formal adoption in major glossaries.

In practice, fiksert refers to several related practices. In AI and data science, it can mean injecting plausible but false data into datasets or prompts to study model behavior, robustness, or bias. In media literacy, it can describe technique for teaching critical reading by presenting mixed or embedded fictional elements in ostensibly factual content. In literary or discourse analysis, it may be used to examine reader or viewer responses to content that blends fact and fiction.

Common forms include fikserted datasets or articles, mixed-reality narratives, and instructional prompts designed to reveal how easily parts of a text can be mistaken for factual information. Critics warn that fiksert can blur lines between fact and fiction and may raise ethical concerns if disclosure is omitted or used to mislead.

See also: misinformation, synthetic data, data poisoning, fictionalization, narrative ethics.