Analyzing the Effect of Media Takeovers on their Political Positioning

Lubin Longuépée, Akram Elbouanani, Adrian Popescu


Abstract
We study whether media takeovers are associated with changes in the political positioning of news outlets. Across nine ownership changes spanning four languages and varied acquirer profiles, we find that aggregate outlet-level shifts are generally modest, but mask selective, actor-specific repositioning toward particular political figures and ideological blocs whose magnitude and direction vary by acquirer. A three-level decomposition — outlet, ideological bloc, individual actor — is combined with in-time placebo tests, within-outlet triple-interaction contrasts and entity-month re-estimation to separate the effects that withstand pre-trend and multiplicity checks from those that do not. We obtain these findings using a multilingual, entity-centered pipeline over CC-News that masks target politicians before zero-shot target-oriented sentiment classification and estimates changes via difference-in-differences against country-matched control media. These results suggest that aggregate stability masks a redistribution of tone across politically salient actors rather than uniform outlet-wide slant shifts.
Anthology ID:
2026.findings-emnlp.1363
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2026
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:
Findings
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
28934–28963
Language:
URL:
https://aclanthology.org/2026.findings-emnlp.1363/
DOI:
Bibkey:
Cite (ACL):
Lubin Longuépée, Akram Elbouanani, and Adrian Popescu. 2026. Analyzing the Effect of Media Takeovers on their Political Positioning. In Findings of the Association for Computational Linguistics: EMNLP 2026, pages 28934–28963, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Analyzing the Effect of Media Takeovers on their Political Positioning (Longuépée et al., Findings 2026)
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PDF:
https://aclanthology.org/2026.findings-emnlp.1363.pdf