#Vegan: Twitter Social Network Analysis on Veganism

Evrim Yılmaz; Evrim Çağın Polat

Makale detayları

#Vegan: Twitter Social Network Analysis on Veganism

Yazarlar:

Evrim Yılmaz | Evrim Çağın Polat

Yayıncı:

Hacettepe University

Ana Başlıklar:

İletişim ve Medya Çalışmaları

Dergi:

Moment Dergi Vol.10 Issue 1, pp.48-82

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001295611

pISSN:

2148-970X

Anahtar kelimeler:

Özet:

 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 eatingliving, weight control and ecological concerns, respectively. Keywords: vegan, veganism, Twitter, clustering, topic modelling.

 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 eatingliving, weight control and ecological concerns, respectively. Keywords: vegan, veganism, Twitter, clustering, topic modelling.

 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 eatingliving, weight control and ecological concerns, respectively. Keywords: vegan, veganism, Twitter, clustering, topic modelling.

 Küresel iklim değişikliği ve hayvan hakları konusundaki hassasiyetlerin bir uzantısı olarak vegan ve bitki bazlı beslenmeye olan ilginin artmaya başladığı görülmektedir. Bu araştırma, Türkiyede veganizm konusundaki tartışma alanının Twitterda 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 hashtagleriyle 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 beslenmeyeyaşama olan ilgi, kilo kontrolü ve son olarak ekolojik kaygılar olduğu belirlenmiştir. Anahtar Kelimeler: vegan, veganizm, Twitter, kümeleme, konu modelleme.

Makale detayları

#Vegan: Twitter Social Network Analysis on Veganism

Yazarlar:

Evrim Yılmaz | Evrim Çağın Polat

Yayıncı:

Hacettepe University

Ana Başlıklar:

İletişim ve Medya Çalışmaları

Dergi:

Moment Dergi Vol.10 Issue 1, pp.48-82

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001295611

pISSN:

2148-970X

vegan

veganism

Twitter

clustering

topic modellingvegan

veganizm

Twitter

kümeleme

konu modelleme

Sayı

Makale detayları

Yazarlar: Evrim Yılmaz | Evrim Çağın Polat

Yayıncı: Hacettepe University

Ana Başlıklar: İletişim ve Medya Çalışmaları

Dergi: Moment Dergi Vol.10 Issue 1, pp.48-82

Belge Tipi: Makale

Yayın Tarihi: 7/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001295611

pISSN: 2148-970X

Sayı

Yazarlar:

Evrim Yılmaz | Evrim Çağın Polat

Yayıncı:

Hacettepe University

Ana Başlıklar:

İletişim ve Medya Çalışmaları

Dergi:

Moment Dergi Vol.10 Issue 1, pp.48-82

Belge Tipi:

Makale

Yayın Tarihi:

7/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001295611

pISSN:

2148-970X