COVİD-19 AŞILARININ MARKA ALGILAMALARININ SOSYAL MEDYA ÜZERİNDEN DUYGU ANALİZİ İLE İNCELENMESİ

Year 2022, , 145 - 162, 02.03.2022

Emel Özdemir Akcan , Nihal Sütütemiz

https://doi.org/10.30794/pausbed.994700

Cited By: 3

Abstract

İletişim ağları kullanımının giderek hız kazanması markaların sosyal medya kullanıcıları ile iletişimini kolaylaştırmış, kullanıcılar ile markalar düşünce paylaşımı açısından yakınlaşmışlardır. Bununla birlikte birçok fikir ve düşüncenin analiz edilmesi ihtiyacını da gündeme getirmiştir. Kamuoyunda, tüm dünyayı ilgilendiren Covid-19 tedavisine yönelik hangi aşı markasının daha etkili olacağı ve sonucunun ne olacağına ilişkin sağlık endişelerinin yanı sıra artan bir merak ve belirsizlik bulunmaktadır. Bu çalışmada, sosyal medya kullanıcılarının bu aşılara bakış açıları ve bahsi geçen iki markaya karşı çağrışımları henüz yeni bir yöntem olan metin analizi tekniği kullanılarak BioNTech ve Sinovac markaları üzerinden ortaya konmaya çalışılmıştır. Böylece, hem henüz yeni yeni kullanılmaya başlanan söz konusu yöntemin kavranmasıyla ilgili metodolojik bir katkı hem de aşı markalarının imajına etki eden unsurların ne olduğuna dair özetleyici bilgi sunmak hedeflenmiştir. Çalışma kapsamındaki Covid-19 aşılarının incelenmesinde nitel araştırma yöntemlerinden metin madenciliği yapılarak, 15 Mart 2021 ile 15 Nisan 2021 tarihleri arasında, mikro-blog sitesi olarak kullanılan Twitter aracılığı ile BioNTech ve Sinovac aşıları ile ilgili tüm tweetler duygu analizi tekniği ile yorumlanmıştır. Analizde, aşılara ait yorumların pozitif, negatif veya nötr olarak R programlama dili ile sınıflandırılması sağlanmıştır. Elde edilen sonuçlara göre, paylaşılan yorumlarda BioNTech markasına ait tutumların nötr olduğu ve Sinovac markasına göre daha güvenli olarak algılandığı bulunmuştur.

Keywords

Marka imajı, Kovid19 Aşıları, Sosyal Medya, Duygu Analizi

ANALYSIS OF BRAND PERCEPTIONS OF COVİD-19 VACCINES WITH SENTIMENT ANALYSIS ON SOCIAL MEDIA

Abstract

The increasing use of communication networks have facilitated to communication between brands and social media users, and users and brands have become closer in terms of sharing their thoughts. However, this use has also revived the need to analyze many ideas and thoughts. There is increasing curiosity and uncertainty in the public regarding the treatment of COVID-19 which concerns the entire world, in addition to concerns about which vaccine brand will be more effective and what the outcomes will be. In this study, it was aimed to reveal the perspectives of social media users about these vaccines and through Sinovac and BioNTech brands using text analysis. In the examination of COVID-19 vaccines within the scope of the study, text mining, which is a qualitative research method was performed. All tweets posted on the microblogging site Twitter about the BioNTech and Sinovac vaccines were interpreted using the sentiment analysis technique for the period between 15 March 2021 and 15 April 2021. In the analysis, it was ensured that the interpretations of vaccines were classified with R programming language as positive, negative or neutral. According to the obtained results, the attitudes of users towards the BioNTech brand were neutral, and the brand was perceived to be more trustworthy than the Sinovac brand in the comments shared.

Keywords

Brand Image, Covid 19 Vaccines, Social Media, Sentiment Analysis

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