#Vegan: Veganizm Üzerine Twitter Sosyal Ağ Analizi

Year 2023, Volume: 10 Issue: 1 - Food Cultures, 48 - 82, 19.07.2023

Evrim Yılmaz , Evrim Çağın Polat

https://doi.org/10.17572/mj2023.1.4882

Cited By: 1

Abstract

Küresel iklim değişikliği ve hayvan hakları konusundaki hassasiyetlerin bir uzantısı olarak vegan ve bitki bazlı beslenmeye olan ilginin artmaya başladığı görülmektedir. Bu araştırma, Türkiye’de veganizm konusundaki tartışma alanının Twitter’da nasıl yapılandırıldığını; veganların ve hepçillerin anlatılarını hangi temel konular üzerinde inşa ettiğini belirlemeyi amaçlamaktadır. Araştırmada 2022-2023 yılları arasında vegan, veganizm ve veganol anahtar kelimeleri ve hashtag’leriyle paylaşılan 62.742 tweet üzerinde MiniLM-L6 modeli ile öznitelik çıkarımı, UMAP ile boyut indirgeme ve HDBSCAN ile kümeleme işlemleri gerçekleştirilmiştir. Kelime ağırlıklandırma yöntemiyle kümelerde öne çıkan kelimeler ve rastgele yapılan manuel okumalarla elde edilen bilgiler kullanılarak, veganlar, hepçiller, kararsızlar ve vegan ürün reklamı yapan kullanıcılar olmak üzere dört farklı kesim tarafından 18 konunun tartışıldığı tespit edilmiştir. Ayrıca #vegan hashtag ağı incelenerek, vegan beslenme eğilimindeki temel motivasyonların sırasıyla hayvan hakları konusundaki endişeler, sağlıklı beslenmeye/yaşama olan ilgi, kilo kontrolü ve son olarak ekolojik kaygılar olduğu belirlenmiştir.
Anahtar Kelimeler: vegan, veganizm, Twitter, kümeleme, konu modelleme.

Keywords

vegan, veganizm, Twitter, kümeleme, konu modelleme

#Vegan: Twitter Social Network Analysis on Veganism

Abstract

It is seen that the interest in vegan and plant-based nutrition has started to increase as an extension of the sensitivity about global climate change and animal rights. This research aims to determine which discussion topics about veganism are created on Twitter by vegans and omnivores in Turkey. For this purpose, feature extraction with the MiniLM-L6 model, dimension reduction with UMAP and clustering with HDBSCAN were performed on 62,742 tweets collected with the "vegan," "veganizm," and "veganol" keywords and hashtags between 2022-2023. Using the prominent words in the clusters with the word weighting method and the information obtained from random manual readings, It was determined that 18 topics were discussed by four different groups, namely vegans, omnivores, undecided individuals and users advertising vegan products. Additionally, the #vegan hashtag network was examined and it was determined that main motivations for adopting a vegan diet were concerns about animal rights, interest in healthy eating/living, weight control and ecological concerns, respectively.
Keywords: vegan, veganism, Twitter, clustering, topic modelling.

Keywords

vegan, veganism, Twitter, clustering, topic modelling

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