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This analysis reveals spatial dynamics and co-mentions in local news across Alabama, highlighting information geographies.
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.
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Wang et al. (2025) studied this question.
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