Araştırma Makalesi

Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War

Cilt: 16 Sayı: 2 31 Aralık 2023
PDF İndir
EN

Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War

Öz

Twitter (X) is an important tool that reflects the feelings and attitudes of the public. For this reason, in this study, especially when it comes to events that concern society, Twitter provides an opportunity to both follow the agenda and understand the reactions through instant sharing. Twitter is a social media platform that allows the public to convey their feelings, thoughts, and attitudes to the masses. Twitter provides the opportunity to stay up-to-date and understand reactions through instant posts, especially for social events. In this research, Twitter posts made with the Ukraine hashtag between March 1 and April 30, 2022, during the Russia-Ukraine War, were eliminated with the "war" filter, and the expressions were analyzed using the sentiment analysis method. Various URLs were eliminated, and research was carried out on ten thousand tweets. The tweets obtained were categorized as positive, negative, and neutral. Accordingly, the expressions containing positive, negative, and neutral emotions were analyzed by determining the emotional inferences of the words in the tweets with an artificial intelligence algorithm and then detailed by the researchers with content analysis. In this sense, this study becomes important in understanding how the masses express their reactions through emotional social media platforms and what their emotions are in this process. Therefore, this research can be a clue for the consequences of international war on the masses.

Anahtar Kelimeler

Destekleyen Kurum

No financial support was received from any person or institution for the study.

Etik Beyan

The authors declare that this article complies with ethical standards and rules.

Kaynakça

  1. Adwan, O. M. A. R., Al–Tawil, M., Huneiti, A., Shahin, R., Zayed, A. A., & Al–Dibsi, R. (2020). Twitter sentiment analysis approaches: A survey. International Journal of Emerging Technologies in Learning, 15(15), 79–93. https://doi.org/10.3991/ijet.v15i15.14467
  2. Almohaimeed, A. S. (2017). Using tweets sentiment analysis to predict stock market movement (Doctoral dissertation, Auburn University).
  3. Appel, O., Chiclana, F., & Carter, J. (2015). Main concepts, state of the art and future research questions in sentiment analysis. Acta Polytechnica Hungarica, 12(3), 87–108. http://dx.doi.org/10.12700/APH.12.3.2015.3.6
  4. Aslan, M. (2022). Rusya’nın Ukrayna’ya saldırısının siyasi ve askeri değerlendirmesi [Political and military evaluation of Russia’s attack on Ukraine]. SETA–Perspektif, 332, 1–4. https://setav.org/assets/uploads/2022/02/P332.pdf.
  5. Aslan, M. (2023). Rusya–Ukrayna savaşının bir yılı [One year of the Russia–Ukraine war]. Seta.
  6. Aydıngün, A. (2022). Rusya–Ukrayna savaşının sosyolojik açıdan tahlili [Sociological analysis of the Russia–Ukraine war] (AVİM Rapor No: 20). Avrasya İncelemeleri Merkezi. Terazi Yayıncılık.
  7. Bağcan, S., Tuncay, E., Savaş, S. (2021). Sosyal medyada demokrasiye lider müdahalesini gözlemlemek: 2020 ABD başkanlık seçimlerinde Donal Trump ve Joe Biden’ın tweetlerinin içerik ve duygu analizi açısından incelenmesi [Observing the leader’s intervention to democracy on social media: An analysis of the tweets of Trump and Biden on Twıtter in the 2020 US presidential elections in terms of content and sentiment analysis]. The Turkish Online Journal of Design Art and Communication, 11(3), 1073–1097. https://dergipark.org.tr/tr/pub/tojdac/issue/62647/911077
  8. Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083–6101.2007.00393.x

Ayrıntılar

Birincil Dil

İngilizce

Konular

Büyük Veri, Ekran ve Medya Kültürü, Uluslararası İlişkiler (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

30 Aralık 2023

Yayımlanma Tarihi

31 Aralık 2023

Gönderilme Tarihi

1 Ağustos 2023

Kabul Tarihi

26 Aralık 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 16 Sayı: 2

Kaynak Göster

APA
Temel Eginli, A., & Özmelek Taş, N. (2023). Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War. International Journal of Social Inquiry, 16(2), 445-459. https://doi.org/10.37093/ijsi.1336016
AMA
1.Temel Eginli A, Özmelek Taş N. Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War. IJSI. 2023;16(2):445-459. doi:10.37093/ijsi.1336016
Chicago
Temel Eginli, Ayşen, ve Neslihan Özmelek Taş. 2023. “Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War”. International Journal of Social Inquiry 16 (2): 445-59. https://doi.org/10.37093/ijsi.1336016.
EndNote
Temel Eginli A, Özmelek Taş N (01 Aralık 2023) Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War. International Journal of Social Inquiry 16 2 445–459.
IEEE
[1]A. Temel Eginli ve N. Özmelek Taş, “Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War”, IJSI, c. 16, sy 2, ss. 445–459, Ara. 2023, doi: 10.37093/ijsi.1336016.
ISNAD
Temel Eginli, Ayşen - Özmelek Taş, Neslihan. “Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War”. International Journal of Social Inquiry 16/2 (01 Aralık 2023): 445-459. https://doi.org/10.37093/ijsi.1336016.
JAMA
1.Temel Eginli A, Özmelek Taş N. Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War. IJSI. 2023;16:445–459.
MLA
Temel Eginli, Ayşen, ve Neslihan Özmelek Taş. “Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War”. International Journal of Social Inquiry, c. 16, sy 2, Aralık 2023, ss. 445-59, doi:10.37093/ijsi.1336016.
Vancouver
1.Ayşen Temel Eginli, Neslihan Özmelek Taş. Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War. IJSI. 01 Aralık 2023;16(2):445-59. doi:10.37093/ijsi.1336016

Cited By

---------------------------------------------------------------------------------------------------------------------------------------------------

26134  26133  Bu sitedeki eserler Creative Commons Attribution 4.0 International license ile lisanslanmıştır.

---------------------------------------------------------------------------------------------------------------------------------------------------