Having carefully read the article by David Robinson, it can be noted that his methodological approach, in this case, does not correspond to reality. Most likely, Tweets from the iPhone are sent by Trump’s aides, who do not know about his real mood at the moment, and also, perhaps, they have the task of writing only in general phrases, without expressing anything specifically. The author himself asks whether the tweets belong to Trump or his aides (Robinson 2020). From the Android platform, Donald Trump writes himself, and therefore these Tweets have a brighter emotional coloring, although more often negative.
To understand how the public feels about a particular politician, would be appropriate to rely on an analysis of sentiment. With the help of social networks, sociological surveys are conducted to help identify the attitude of the public. People can also express their emotions using photos and video messages on social networks. Besides, the Network has a system of comments on the posts of politicians, which can also help to understand the mood of the public.
The main risk in using sentiment analysis is that the public does not always openly and sincerely express their personal opinion. People can be influenced by someone; their opinion can be imposed or simply biased. This fact makes the sentiment analysis less accurate and plausible.
The main advantage of sentiment analysis is its simplicity. On the Internet, it is very easy to track the mood of the public, as many people are ready to openly express their opinion about a particular situation or person. Harsh statements can be deleted, but one way or another, a large number of users may have time to see the message.
In conclusion, sentiment analysis is a rather interesting approach to examining public opinion. Like any approach, this one has its advantages and disadvantages, but in general, it makes a possibility to understand the mood of the audience. Anyway, this approach is budget-friendly and efficient, which also makes it quite attractive.
Reference
Robinson, D. (2020). Text analysis of Trump’s tweets confirms he writes only the (angrier) android half. Variance Explained. Web.