Transnational repression: The case of Chechnya

7 August 2026

Chechnya’s transnational repression targets dissidents abroad; women face family control and danger even in neighboring countries.

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[This is an automatically generated summary, for reference only]

Chechnya employs a unique system of transnational repression that extends beyond state actions, involving family, community, and informal networks. The article details numerous instances where Russian and Chechen authorities have targeted political opponents abroad, citing cases like the murder of Zelimkhan Khangoshvili in Germany and the death of Imran Aliev in France. Furthermore, persecution targets women who resist family control or forced marriages, with domestic violence becoming institutionalized under the current regime. Women seeking refuge face risks of being tracked down and forcibly returned to Chechnya, even when fleeing to neighboring countries like Georgia and Armenia. The text also notes that independent human rights groups are criminalized by Russian authorities, complicating their work.


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MOST is co-funded by the European Union.

The MOST – Media Organisations for Stronger Transnational Journalism – project aims to drive innovation within the foreign reporting sector and strengthen the resilience of non-profit and independent media in their coverage of European issues. By bringing together six specialised non-profit media outlets and one human rights-focused organisation, the project will establish a collaborative platform for the exchange of knowledge, resources, and content among the participating partners and other media outlets focused on foreign reporting or European topics.

Building on a decades-long commitment to specialised and non-profit reporting, the initiative seeks to enhance the visibility of Southeast and Eastern Europe within the European public sphere, while reinforcing journalistic practices to combat misinformation and disinformation.

Coordinated by OBCT, the hub will promote the exchange of best practices in creative business models, news production, and distribution processes. Additionally, the project will explore the potential of AI and collaboration, encouraging peer-to-peer learning among partners and engaging with the wider community of specialised digital non-profit media.