Textseconomic

Textseconomic is a term used to describe the study of how textual information and text-based data interact with economic value and decision making. It encompasses the production, distribution, licensing, and consumption of text, and the ways in which textual content influences prices, competition, and consumer behavior.

The scope includes the economics of information goods and news, social media and content platforms, data licensing and marketplaces for text corpora, and the monetization of text-based services such as search, translation, and summarization. It also covers costs of content creation, incentives for authors, and the impact of moderation, misinformation, and quality on market outcomes.

Methods in textseconomics combine econometric analysis with data science and natural language processing. Researchers may model user attention, pricing, and licensing terms, conduct A/B tests to measure monetization effects, and quantify content quality and relevance using textual features. The aim is to understand how textual data generates value, how it is traded, and how policies and platform designs shape economic incentives.

History and reception: The term emerged in the 2010s in interdisciplinary forums and industry discussions, but it is not widely standardized in scholarly taxonomies. Its boundaries overlap with information economics, the data economy, and computational economics, and practitioners may use related terms to describe overlapping phenomena.

See also: economics of information, data economy, text mining, information goods, digital advertising, NLP. Note that textseconomic is not a universally adopted label, and usages vary across disciplines.