This paper tries to apply Lijphart’s way of description with ten factors for the two models of democracy to the Republic of Turkey. Turkey, with her important location, which is a country with a different political structure and social structure, can be added to Lijphart example. This research mainly analysis Turkish political system with Lijphart’s majoritarian and consensus democracy idea. In this study, while examining the case of Turkey, the World Bank, IMF, and IV project, Freedom House reports and data were used.
URL: https://transformative.ub.ac.id/index.php/jtr/article/view/46
Monday, September 30, 2019
Tuesday, September 24, 2019
Trend Topic Analysis with R
Twitter is one of the most popular social media applications
in recent years. With the R program, it is possible to analyze many data from
Twitter. Two of these analyzes are sentiment and polarity analysis.
These analyzes were applied to one of the trend topics on
Twitter. For this purpose, the first trend topics in the world were found with
"getTrend ()" function. As a results of this research, the most
popular trend topic is #gretathunberg.
Afterwards, tweets were cleaned and sentiment and polarity
analysis were performed.
First, polarity analysis was performed. As a results of this
analysis, the majority of tweets related to #gretathumberg are positive.
Figure 1: polarity analysis
Secondly, sentiment analysis was performed. According to
this analysis, anticipation and trust are the most dominant feelings among
tweets.
Figure 2: Sentiment analysis (second column is anticipation.)
Finally, the most popular devices, which are used to post on
twitter, were analyzed. Twitter web app and twitter android are the most used
software.
Figure 3: Most used software and devices
Tuesday, September 17, 2019
Terrorism Dilemma
Terrorism has been one of the most
remarkable issues in recent years. Many scholars argue about terrorism. However,
the lack of a definition of terrorism complicates the issue.
The most acceptable definition of terror
in the world is the CIA's definition of terror. This study uses the CIA's
definition of terrorism. According to Central Intelligence Agency (2007),
terrorism means premeditated, politically motivated violence perpetrated
against noncombatant targets by subnational groups or clandestine agents,
usually intended to influence an audience.
This definition is quite clear. Based on
this definition, the YPG in Syria is a terrorist organization. However, many
Western countries and the United States do not recognize YPG as terrorists. But
this organization has caused the deaths of many innocent people in Turkey.
Nevertheless, the media of many countries continue to have positive news about
this organization. In addition, there are also positive news about the
terrorist organization on Twitter.
For this purpose, sentiment and polarity
analysis related with YPG in CNN, The New York Times and Twitter was performed.
Figure 1: Polarity result of CNN
Firstly, CNN's latest news about ypg is
examined. The analysis revealed that the CNN's news was very positive about
YPG. The most commonly used sentiment in the news about YPG is trust.
Figure 2: Sentiment result of CNN
Secondly, the last news of
the new york times about ypg was analyzed. Similar results were obtained with
CNN. The new york times ypg news is also very positive. The most commonly used
sentiment in the New York Times’ news about YPG is trust.
Figure 3: Polarity result of New York Times
Figure 4: Sentiment result of New York Times
Finally, the last 100 tweets about YPG on Twitter
were analyzed. Twitter also has positive tweets about YPG, like CNN and New
York Time. The most commonly used sentiment in twitter about YPG is fear. Tweets about
ISIS raise the fear rate. That’s why fear was the most common sentiment in this
anaysis.
Figure 5: Polarity result of Tweets
Figure 6: Sentiment result of Tweets
As seen above, there are positive views on YPG, which many countries recognize as terrorist organizations, in the media and social media.
Labels:
cnn,
ISIS,
new york times,
news,
polarity analysis,
R programing,
sentiment analysis,
terrorism,
terrorist,
text analysis,
text mining,
the new york times,
tweets,
twitter,
YPG
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