Reference no: EM133194555 , Length: 3 Pages
Assignment:
1. Briefly explain why you thought the article was interesting.
2. Describe 6 to 10 design features of the article based on your readings
3. Explain which design features are most effective for the audience and purpose, and which are least effective.
If there are graphics as well, feel free to provide your opinions on those!
Most journal articles use a two-column format and don't vary too much in design, but I think they work well for recognizing most of the core design concepts we want to work from. As usual for these smaller assignments, your submission will be evaluated based on your good faith effort to conduct useful page design analysis and forward your knowledge and skills.
The article I chose to analyze is "A Systematic Review Towards Big Data Analytics in Social Media" from the journal "Big Data Mining and Analytics."
Although much of the information within the article is beyond my scope of understanding, as someone who owns multiple social media accounts, I found the topic relevant to my daily life. The authors propose an improved definition for "Big Data" to keep up with the rapidly changing data produced by social media applications.
The page design of the article represents the methodology and results in a variety of ways:
1. Multiple headings and subheadings that provide structure to the document.
2. Each major heading is bolded and numbered, while the smaller subheadings are numbered with respect to the main heading (i.e. Major Heading 1, Subheading 1.1, Subheading 1.2, etc.).
3. Several figures representing findings as well as support for other claims. The most notable figure is the "Sunflower Model of Big Data" which visualizes the results of their research.
4. In addition to figures, multiple tables are used to represent social media statistics, which would be difficult to represent in a figure due to the number of data categories involved.
5. There are "Notes" under a few of the tables that provide clarification on the date at which data was recorded.
6. The authors used lists to organize their research questions, source selection criteria, and study limitations.
Out of all of these design features, I believe that the use of headings and figures were the most helpful design choices while keeping the purpose in mind. These features allowed the document to be well-organized and maintain a consistent flow of information to the reader. The figures were especially useful for visualizing complex information discussed within the article. The tables were helpful for similar reasons, however, some of the information in the columns seemed quite dense and difficult to read. Considering that an undergraduate student is not the intended audience for this piece, my observation could be because I am not a data analyst, so perhaps I am simply not used to seeing this much data represented in one table.
Nonetheless, it is an interesting article with many excellent design choices to aid the viewer's understanding.
Readings:
Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
By Khalid AL Fararni, Fouad Nafis