@inproceedings{wanner-etal-2026-local,
title = "Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations",
author = "Wanner, Miriam and
Hager, Sophia and
Field, Anjalie",
editor = "Card, Dallas and
Field, Anjalie and
Keith, Katherine and
Mendelsohn, Julia",
booktitle = "Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science",
month = jul,
year = "2026",
address = "San Diego",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.nlpcss-1.3/",
pages = "37--82",
ISBN = "979-8-89176-426-2",
abstract = "Local news stations are often considered to be reliable sources of non-politicized information, particularly local concerns that residents care about. The Sinclair Broadcast group is a broadcasting company that has acquired many local news stations in the last decade. We investigate the effects of local news stations being acquired by Sinclair: how does coverage change? We analyze YouTube content put out by local news stations through topic modeling, log-odds ratios, and word embedding analyses to investigate changes after being acquired by Sinclair. We find evidence that local news stations report more frequently on national news at the expense of local topics, and that their coverage of polarizing national topics increases. These findings associate acquisition by Sinclair with increasing polarization and nationalization of news content, which in-turn risks increasing political polarization of local news viewers."
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<abstract>Local news stations are often considered to be reliable sources of non-politicized information, particularly local concerns that residents care about. The Sinclair Broadcast group is a broadcasting company that has acquired many local news stations in the last decade. We investigate the effects of local news stations being acquired by Sinclair: how does coverage change? We analyze YouTube content put out by local news stations through topic modeling, log-odds ratios, and word embedding analyses to investigate changes after being acquired by Sinclair. We find evidence that local news stations report more frequently on national news at the expense of local topics, and that their coverage of polarizing national topics increases. These findings associate acquisition by Sinclair with increasing polarization and nationalization of news content, which in-turn risks increasing political polarization of local news viewers.</abstract>
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%0 Conference Proceedings
%T Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations
%A Wanner, Miriam
%A Hager, Sophia
%A Field, Anjalie
%Y Card, Dallas
%Y Field, Anjalie
%Y Keith, Katherine
%Y Mendelsohn, Julia
%S Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego
%@ 979-8-89176-426-2
%F wanner-etal-2026-local
%X Local news stations are often considered to be reliable sources of non-politicized information, particularly local concerns that residents care about. The Sinclair Broadcast group is a broadcasting company that has acquired many local news stations in the last decade. We investigate the effects of local news stations being acquired by Sinclair: how does coverage change? We analyze YouTube content put out by local news stations through topic modeling, log-odds ratios, and word embedding analyses to investigate changes after being acquired by Sinclair. We find evidence that local news stations report more frequently on national news at the expense of local topics, and that their coverage of polarizing national topics increases. These findings associate acquisition by Sinclair with increasing polarization and nationalization of news content, which in-turn risks increasing political polarization of local news viewers.
%U https://aclanthology.org/2026.nlpcss-1.3/
%P 37-82
Markdown (Informal)
[Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations](https://aclanthology.org/2026.nlpcss-1.3/) (Wanner et al., NLP+CSS 2026)
ACL