TY  - JOUR
T1  - A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes
TT  - A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes
AU  - Abanoz, Enes
PY  - 2020
DA  - June
DO  - 10.31123/akil.619691
JF  - Akdeniz Üniversitesi İletişim Fakültesi Dergisi
JO  - Akdeniz İletişim
PB  - Akdeniz University
WT  - DergiPark
SN  - 2619-9718
SP  - 73
EP  - 90
IS  - 33
LA  - en
AB  - Social media provides alarge-scale data that have substantial prospective to define collective actionssuch as social trends, political participation and complex phenomena in realworld. When people use these channels, they leave a huge amount of digitaltrace that can be easily reached by researchers. This digital trace bestows usa unique possibility to observe and reveal collective actions at unprecededmeasures. In this research, we have aimed to test ifthe daily Twitter activities (tweet, retweet, mention) can serve as asignificant indicator regarding Turkish election results, an argument alreadyengaged in previous studies. We have concluded that some of our results overlapwith previous studies. The correlation between the daily attention volume onacquired in this study and the election results –even though it does notdirectly impact the election results– shows Turkish Twitter data can be used asa proxy tool.
KW  - Election
KW  - Political Participation
KW  - Attention
KW  - Social Media
KW  - Turkey
N2  - Sosyal medya; gerçek dünyadaki sosyal eğilimleri, siyasi katılım ve gösteriler gibi kolektif eylemleri tanımlamak için önemli ve geniş çaplı bir veri sunmaktadır. İnsanlar bu kanalları kullandıklarında, araştırmacılar tarafından kolayca ulaşılabilecek büyük miktarda dijital iz bırakmaktadırlar. Bu dijital iz, kolektif eylemleri gözlemleme ve ortaya çıkarma konusunda araştırmacılara eşsiz bir imkân sunmaktadır. Bu araştırma, günlük Twitter aktivitelerinin (tweet, retweet, mention), birçok çalışmada ele alındığı gibi, Türkiye seçim sonuçlarına ilişkin önemli bir gösterge olup olmadığını test etmeyi amaçlamıştır. Bunu test etmek için, Eom ve arkadaşları (2015) tarafından günlük tweet hacmine dayalı olarak değişkenlerin sırasını tahmin etmek için geliştirilen bir yöntem seçilerek uygulanmıştır. Partilerin ve adayların tahmini sıralamasında en uygun zaman aralığını bulmak için günlük tweet hacimlerindeki dalgalanmalar kullanılmıştır. Çalışma sonucunda, elde edilen sonuçlardan bazılarının önceki çalışmalarla örtüştüğü görülmüştür. Bu çalışma sonucunda elde edilen günlük ilgi miktarı ile seçim sonuçları arasındaki korelasyon –seçim sonuçlarını doğrudan etkilemese de– Türkiye’de Twitter verilerinin bir gösterge olarak kullanılabileceğini göstermiştir.
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UR  - https://doi.org/10.31123/akil.619691
L1  - https://dergipark.org.tr/en/download/article-file/1165423
ER  -