Araştırma Makalesi

A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes

Sayı: 33 30 Haziran 2020
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A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes

Öz

Social media provides a large-scale data that have substantial prospective to define collective actions such as social trends, political participation and complex phenomena in real world. When people use these channels, they leave a huge amount of digital trace that can be easily reached by researchers. This digital trace bestows us a unique possibility to observe and reveal collective actions at unpreceded measures. In this research, we have aimed to test if the daily Twitter activities (tweet, retweet, mention) can serve as a significant indicator regarding Turkish election results, an argument already engaged in previous studies. We have concluded that some of our results overlap with previous studies. The correlation between the daily attention volume on acquired in this study and the election results –even though it does not directly impact the election results– shows Turkish Twitter data can be used as a proxy tool.

Anahtar Kelimeler

Destekleyen Kurum

The Scientific and Technological Research Council of Turkey

Proje Numarası

A-2214

Teşekkür

I gratefully acknowledge the support of The Scientific and Technological Research Council of Turkey (2214-A).

Kaynakça

  1. Aral, Sinan. 2012. “Social Science: Poked to Vote.” Nature 489 (7415): 212–14. https://doi.org/10.1038/489212a.
  2. Bond, Robert M., Christopher J. Fariss, Jason J. Jones, Adam D. I. Kramer, Cameron Marlow, Jaime E. Settle, and James H. Fowler. 2012. “A 61-Million-Person Experiment in Social Influence and Political Mobilization.” Nature 489 (September): 295–98. https://doi.org/10.1038/nature11421.
  3. Borondo, J., A. J. Morales, J. C. Losada, and R. M. Benito. 2012. “Characterizing and Modeling an Electoral Campaign in the Context of Twitter: 2011 Spanish Presidential Election as a Case Study.” Chaos: An Interdisciplinary Journal of Nonlinear Science 22: 023138. https://doi.org/10.1063/1.4729139.
  4. Brundidge, Jennifer. 2010. “Encountering ‘Difference’ in the Contemporary Public Sphere: The Contribution of the Internet to the Heterogeneity of Political Discussion Networks.” Journal of Communication 60 (4): 680–700. https://doi.org/10.1111/j.1460-2466.2010.01509.x.
  5. Budak, Ceren, and Duncan Watts. 2015. “Dissecting the Spirit of Gezi: Influence vs. Selection in the Occupy Gezi Movement.” Sociological Science 2: 370–97. https://doi.org/10.15195/v2.a18.
  6. Caldarelli, Guido, Alessandro Chessa, Fabio Pammolli, Gabriele Pompa, Michelangelo Puliga, Massimo Riccaboni, and Gianni Riotta. 2014. “A Multi-Level Geographical Study of Italian Political Elections from Twitter Data.” Edited by Matjaz Perc. PLoS ONE 9 (May): e95809. https://doi.org/10.1371/journal.pone.0095809.
  7. DiGrazia, Joseph, Karissa McKelvey, Johan Bollen, and Fabio Rojas. 2013. “More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior.” Edited by Luis M. Martinez. PLoS ONE 8 (November): e79449. https://doi.org/10.1371/journal.pone.0079449.
  8. Eom, Young-Ho, Michelangelo Puliga, Jasmina Smailović, Igor Mozetič, and Guido Caldarelli. 2015. “Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties.” Edited by Matjaz Perc. PLOS ONE 10 (July): e0131184. https://doi.org/10.1371/journal.pone.0131184.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İletişim ve Medya Çalışmaları

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2020

Gönderilme Tarihi

13 Eylül 2019

Kabul Tarihi

23 Haziran 2020

Yayımlandığı Sayı

Yıl 2020 Sayı: 33

Kaynak Göster

APA
Abanoz, E. (2020). A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 33, 73-90. https://doi.org/10.31123/akil.619691
AMA
1.Abanoz E. A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes. Akdeniz İletişim. 2020;(33):73-90. doi:10.31123/akil.619691
Chicago
Abanoz, Enes. 2020. “A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes”. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, sy 33: 73-90. https://doi.org/10.31123/akil.619691.
EndNote
Abanoz E (01 Haziran 2020) A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes. Akdeniz Üniversitesi İletişim Fakültesi Dergisi 33 73–90.
IEEE
[1]E. Abanoz, “A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes”, Akdeniz İletişim, sy 33, ss. 73–90, Haz. 2020, doi: 10.31123/akil.619691.
ISNAD
Abanoz, Enes. “A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes”. Akdeniz Üniversitesi İletişim Fakültesi Dergisi. 33 (01 Haziran 2020): 73-90. https://doi.org/10.31123/akil.619691.
JAMA
1.Abanoz E. A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes. Akdeniz İletişim. 2020;:73–90.
MLA
Abanoz, Enes. “A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes”. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, sy 33, Haziran 2020, ss. 73-90, doi:10.31123/akil.619691.
Vancouver
1.Enes Abanoz. A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes. Akdeniz İletişim. 01 Haziran 2020;(33):73-90. doi:10.31123/akil.619691

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