Abstract
This study investigates how the relationships between cities are represented in local news by analyzing co-mentions of cities in 31,004 news articles from Alabama. Using a large language model, we extract geographic references and construct co-mention networks that reflect both spatial proximity and symbolic connections between cities. To interpret these links, we develop a classification framework of relationships between cities, such as common impacts and sequential dynamics. Our preliminary analysis reveals that news categories produce distinct patterns of spatial association. This offers a novel way for understanding media-driven spatial imaginaries, contributing to research on information geographies and shedding light on the relational dimensions of local information.
| Original language | English |
|---|---|
| Pages (from-to) | 1708-1710 |
| Number of pages | 3 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 62 |
| Issue number | 1 |
| DOIs | |
| State | Published - Oct 2025 |
Keywords
- city co-mentions
- large language models
- local information landscape
- news
- news deserts
- spatial network
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