The Transformation of Migrant Discourse on Platform X During the Disaster Process

Yıl 2025, Cilt: 8 Sayı: 3, 911 - 924, 30.11.2025

Duygu Ergün

https://doi.org/10.35341/afet.1694487

Öz

Social media platforms have become a critical arena for information sharing, aid organisation, and emotional solidarity during disasters. However, these platforms are also dynamic structures where discourse rapidly changes during crises, sometimes evolving from solidarity to discrimination. Building on the literature on disaster communication, which highlights that social empathy and solidarity increase during crisis periods but that this emotional intensity is not sustainable, this study analyses how digital discourse on migration evolved on the X platform following the 2023 Kahramanmaraş earthquakes in Turkey. The main question of the research is in which direction and at what speed social media discourse changes during disasters. The study aims to reveal whether anti-migration and anti-migrant discourse, combined with disaster trauma, transforms into a more severe and lasting identity conflict and whether a polarisation trend emerges in the digital public sphere in the post-disaster period. In this context, the pre-disaster, disaster week, and post-disaster periods were examined comparatively, and the transformation of emotional and thematic digital discourse was analysed. The study demonstrates the fragility of the wave of empathy that emerged during the disaster and how digital discourse quickly returned to old polarisation patterns. In this context, the study makes a unique contribution to the literature on disaster communication and social media discourse research by revealing the post-disaster transformation of a specific discourse, such as migration and immigration, at temporal and thematic levels. The findings highlight the importance of long-term and multi-layered framing in disaster communication processes.

Anahtar Kelimeler

Disastter Communication , Digital Empathy and Hate Speech , Digital Polarization , Migration , Social Media Discourse , Text Mining

Bir Söylemin Üç Evresi: Deprem Öncesi, Süreci ve Sonrasında X Platformunda Göçmen Algısı

Öz

Sosyal medya platformları, afet anlarında bilgi paylaşımı, yardım organizasyonu ve duygusal dayanışma için kritik bir alan haline gelmiştir. Ancak bu mecralar, aynı zamanda kriz anlarında hızla değişen, kimi zaman dayanışmadan ayrımcılığa evrilen söylemlerin üretildiği dinamik yapılar olarak da dikkat çekmektedir. Afet iletişimi literatüründeki, kriz dönemlerinde toplumsal empati ve dayanışmanın yükseldiği; ancak bu duygusal yoğunluğun sürdürülebilir olmadığı bilgisinden yola çıkılan bu çalışmada, 2023 Şubat ayında Türkiye'de yaşanan Kahramanmaraş depremlerinin ardından X platformunda göçmen temalı dijital söylemin nasıl evrildiği analiz edilmiştir. Araştırmanın temel sorusu, afet anlarında sosyal medya söyleminin ne yönde ve ne hızla değiştiğidir. Çalışma, göç ve göçmen karşıtı söylemin afet travması ile birleşerek daha sert ve kalıcı bir kimlik çatışmasına dönüşüp dönüşmediğini ve afet sonrası dönemde dijital kamusal alanda nasıl bir kutuplaşma eğiliminin belirdiğini ortaya koymayı amaçlamaktadır. Bu doğrultuda afet öncesi, afet haftası ve afet sonrası dönemler karşılaştırmalı olarak ele alınmış; duygusal ve tematik dijital söylem dönüşümü analiz edilmiştir. Çalışma, afet anında ortaya çıkan empati dalgasının kırılganlığını ve dijital söylemin hızla eski kutuplaşma kalıplarına döndüğünü göstermektedir. Bu bağlamda çalışma, göç ve göçmenlik gibi spesifik bir söylemin afet sonrası dönüşümünü, zamansal ve tematik düzeyde ortaya koyarak afet iletişimi ve sosyal medya söylem araştırmaları literatürüne özgün bir katkı sunmaktadır. Elde edilen sonuçlar, afet iletişimi süreçlerinde uzun vadeli ve çok katmanlı çerçevelemenin önemine dikkat çekmektedir.

Anahtar Kelimeler

Afet İletişimi , Dijital Empati ve Nefret , Dijital Kutuplaşma , Göç , Metin Madenciliği , Sosyal Medya Söylemi

Etik Beyan

Çalışma herhangi bir etik kurul izni gerektirmemektedir.

Destekleyen Kurum

Destekleyen kurum bulunmamaktadır.

Kaynakça

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