Distant reading

Distant reading is the study of large collections of texts using computational methods to find patterns that only appear at scale, word frequencies, genre trends, the spread of themes across time or geography, rather than interpreting a single work through close reading. The term was coined by literary scholar Franco Moretti to describe this shift from studying individual books toward studying thousands of them together.

It relies on techniques such as word-frequency counts, topic modeling, and network analysis, often applied to full-text corpora prepared under Text Encoding Initiative standards so that structure and metadata are machine-readable. It differs from stylometry, which narrows in on quantifiable style markers to identify or compare authors, distant reading looks outward at thematic, generic and historical patterns across many texts at once rather than at who wrote a given text.

Distant reading lets scholars test claims about how genres evolved, how ideas spread between authors or regions, and how a literary canon compares to everything written but rarely read, work that would be impractical by hand. It sits within the broader field of cultural analytics. The main pitfalls are that it can flatten the nuance and context a close reader would catch, and its findings are only as good as the underlying corpus, gaps in digitization, OCR errors, and which texts were selected all shape what patterns appear.