Does the video topic affect viewer behaviors and sentiments?

It can be said that the most edutainment videos viewers like to interact more with psychology videos nevertheless it is not the most viewed one. This conclusion was clear after analyzing the different variables as it was shown in the result section. There was a large difference between the number of comments in psychology and in all the other topics. Also the number of likes for psychology were more than all the others. This is maybe because psychology deals with many subjects that concern all people and do not target a specific group of people only.

Based on all the data collected and the summarized bar charts, the answer of this question is yes as the viewers do not interacts in equal manners with all topics but always there is one topic wins against all the others.

Research Question 2: Does the on-line life of an edutainment video affect viewer behaviors and sentiments?   

Based on the obtained result on Table 4, the life of the video does not affect the views over time as the majority topic gave a very weak or weak correlation for V/T.

                The correlation of likes per view for some topics are strong which means that its liking ratio is affected by the online life of the video. On the other hand, 7 of the topic gave weak correlation, 6 of the topics gave strong correlations and two topics gave moderate correlation. Thus, we cannot guarantee if the likes of the videos are always affected by the online life of the video or not. 

                For the correlation of the dislikes per view, the majority gave very weak correlation. Thus, the online life of the video does not affect the disliking ratio of a video. The same is for the correlation of the comments per view, as the majority topic gave very weak correlation.

                Based on what we obtained, the online life of the video is not a factor that can affects the viewer behaviors or sentiments. But we think that L/V ratio is the most affected ratio by the life of the video among all the others.

Research Question 3: Does the talking rate of an edutainment video affect viewer behaviors and sentiments?

The result shown in Table 5 were achieved by using the correlation analysis for 856 videos, where the correlation between the speaking rate and viewer behaviors and sentiments were calculated one at a time. Then the found result was interrupted following the Pearson Correlation table to find the relationships. When it comes to the viewer’s behavior, the correlation between the Speaking rate and view per day is very weak as well as the correlation between the commenting per day is very weak. When it comes to the sentiment’s behavior, the correlation between the Speaking Rate and like per day is very weak as well as the correlation between the dislike per day is very weak.

Based on what we got, the speaking rate is not relevant and not a factor that can affects the viewer behaviors or sentiments. 

Research Question 4: Does the gender of the presenter affect viewer behaviors and sentiments?  

From the result shown in Table 6, the number of likes per view will be more if you are a female. Thus, if you are a male your chance to get a like is lower. On the other hand, the chance of getting a dislike per view on your video decreases if you are a male. The commenting participation, which is shown by the number of comments per view is increasing if you are a male. The talking rate of the female presenters was bigger than the talking rate of the male presenters. This guaranteed the world-known fact about women.

                Based on the obtained result, the viewers’ behaviors and sentiments are affected by the gender of the presenter. If you are a female presenter, they will like your videos more but also they will dislike your videos more than the male presenters’ videos. on the other hand, they will write comments for you if you are a male presenter more than writing comments for female presenter. 

Research Question 5: Does the native language of the presenter affect viewer behaviors and sentiments?  

The result is shown in Table 7 illustrate a comparison between the native and non-native presenter in term of viewer behavior and sentiment. Theses comparison based on analyzing 175 random videos of the native presenter and then taking the average value of viewer behaviors and sentiments (view per day, like per day, dislike per day and comment per day) as well as taking 175 videos of the non-native presenter and applying the same procedure. The result shows that native presenter has fourteen times view per day more than native, but the non-native presenter has twice the like per view ratio than native. Moreover, non-native presenter videos have roughly twice the dislike per view compared to native. The comment per view for the non-native presenter is five times greater than a native presenter.

Based on the obtained result, beginning native or non-native presenter will affect the viewer behavior and sentiments for sure.