@article{article_619691, title={A Twitter-Based Analysis Of Hashtag And Mention Actions As An İndicator Of Turkish General Elections’ Outcomes}, journal={Akdeniz Üniversitesi İletişim Fakültesi Dergisi}, pages={73–90}, year={2020}, DOI={10.31123/akil.619691}, author={Abanoz, Enes}, keywords={Seçim,Politik Katılım,İlgi,Sosyal Medya,Türkiye,Siyasal İletişim}, abstract={<p class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:150%;"> <span lang="en-us" style="font-family:’Times New Roman’, serif;" xml:lang="en-us">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, </span> <span lang="en-us" style="font-family:’Times New Roman’, serif;" xml:lang="en-us">w </span> <span lang="en-us" style="font-family:’Times New Roman’, serif;" xml:lang="en-us">e 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. </span> <span lang="en-us" style="font-family:’Times New Roman’, serif;" xml:lang="en-us">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. </span> </p> <p> </p>}, number={33}, publisher={Akdeniz Üniversitesi}, organization={The Scientific and Technological Research Council of Turkey}