Beğeni ve Yorum Eğilimlerinin Trafik Kazası Videoları Üzerinden Analizi.

The processes of using communication tools by individuals and societies may differ due to culture or spoken language. However, learning about reactions to similar content may offer important ideas for different mediums. The purpose of this study is to provide an understanding of how similar content can create an environment for the interaction of users watching in different languages. Therefore, the study focused on traffic accident-oriented videos that can be assumed to have similar responses globally. For the sample groups, the top 50 traffic accident channels with the most subscribers and 30 Turkish traffic accident channels were selected from YouTube. The channels and the videos were tested separately through two different sets of hypotheses. For the first hypothesis group, the comments and like rates of all channels were calculated; then, these rates were weighted by views to get channel ratios. For the second hypothesis group, the videos of the first 4 channels among the top 50 channels were selected in order to compare closely with the video counts of Turkish channels. Outliers of all data were calculated using the box-plot method. After the exclusion of outliers, Shapiro-Wilk and Kolmogorov-Smirnov normality tests were performed for channels and videos. Then, Welch's T-Test was applied for channels (n1=47 and n2=28; p=0,041) and Mann-Whitney U Test (n3=586 and n4=579; p=0,00001) was applied for videos. Results showed that channels and videos had different averages. It was concluded that viewers of Turkish content tend to leave comments while leaving likes, compared to other groups. [ABSTRACT FROM AUTHOR]