I need help for answer on question 1 (a) and 1(b) only.
MKT365
Social Media Metric and Analytics
Group-based Assignment
January 2023 Presentation
MKT365
Group-based Assignment
GROUP-BASED ASSIGNMENT
This assignment is worth 20% of the final mark for MKT365 Social Media Metric and
Analytics.
The cut-off date for this assignment is 13 April 2023, 2355hrs.
This is a group-based assignment. You should form a group of 4 members from your seminar
group. Each group is required to upload a single report via your respective seminar group site
in Canvas. Please elect a group leader. The responsibility of the group leader is to upload the
report on behalf of the group.
It is important for each group member to contribute substantially to the final submitted work.
All group members are equally responsible for the entire submitted assignment. If you feel that
the work distribution is inequitable to either yourself or your group mates, please highlight this
to your instructor as soon as possible. Your instructor will then investigate and decide on any
action that needs to be taken. It is not necessary for all group members to be awarded the same
mark.
Note to Students:
You are to include the following particulars in your submission: Course Code, Title of the
GBA, SUSS PI No., Your Name, and Submission Date.
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
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MKT365
Group-based Assignment
Important Note: Grading of TMA/GBA/ECA Submissions
Marks awarded to your assignment are based on the following guidelines:
(a) 80% of the marks are allocated to the content of your answers:
The marks awarded to what your answers cover depend on the extent to which they
cover the key points that correctly and comprehensively address each question.
The key points should be supported by evidence drawn from course materials and,
wherever relevant, from other credible sources.
(b) 20% of the marks are allocated to the presentation of your answers:
Wherever applicable, the marks awarded to how your answers are presented depend
on the extent to which your answers:
form a sound reasoning by developing those key points in a clear, logical and succinct
manner;
provide proper and adequate in-text citations and referencing to content drawn from
course materials and other credible sources;
strictly follow APA formatting and style guidelines 1, in particular for:
• in-text citations and end-of-report references;
• the identification of figures and tables;
use, wherever relevant, the specialised vocabulary and terminology commonly used in
discussions about the topic(s) covered by each question;
provide a reference or bibliography at the end of the main report;
include the less relevant details in an Appendix;
use sentence constructions that are grammatically and syntactically correct;
are free from spelling mistakes; present the workings, numerical formulations and
results in a logical manner that follows the APA formatting and style guidelines;
design and present graphs, diagrams and plots that follow the APA formatting and style
guidelines;
are highly original;
have proper formatting, which may:
• include a properly formatted cover page;
• respect the answer length/word count set out in the assignment guidelines, if
any is prescribed;
• present answers in paragraphs with proper spacing and page margins;
• include page numbers and appendices, if necessary.
1
You can find a short tutorial on the APA formatting and style guidelines here:
https://apastyle.apa.org/index.
Additional details (pertaining to tables and figures) can be found here: https://is.gd/O4vDdT .
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
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MKT365
Group-based Assignment
Question 1
Recently, deepfake technology has been making headlines. The latest iteration in computer
imagery, deepfakes are created when artificial intelligence (AI) is programmed to replace one
person’s
likeness
with
another
in
recorded
video.
(Resource:
https://www.businessinsider.com/guides/tech/what-is-deepfake).
Knowing the benefits brought by online social media data contents, your company, a startup
AI company in Singapore decides to apply social media analytics to systematically analyse
public opinions about Deepfake by using the relevant data from YouTube. You are part of the
analytics team who is responsible for this analytical initiative including data collection, data
processing, modelling and recommendations.
(a)
You need to conduct research on YouTube. Discuss at least three (3) examples of social
media data that could be collected from YouTube which are useful for your analyses.
(Word cap: 100 words)
(10 marks)
(b)
Examine the social media collection methods and recommend the most suitable one to
collect the data stated in Question 1(a).
(25 marks)
(c)
You are assigned the task of implementing application authentication (OAuth) in
Google Cloud for the project named MKT365. Please show your steps to get the Client
ID and Secrete for this project.
(35 marks)
(d)
Apply three (3) textual data pre-processing techniques that you consider appropriate to
process
the
unstructured
data
from
the
YouTube
Link
(https://www.youtube.com/watch?v=gLoI9hAX9dw&themeRefresh=1) and make
them analysable. You need to attach the example(s) to explain each of the data preprocessing techniques.
(15 marks)
(e)
You are required to visualise the sentiment analysis trending results of public opinions
on the Deepfake technology to the senior management in the past three years. Evaluate
the different methods in this data visualisation task.
(15 marks)
—- END OF ASSIGNMENT —-
SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (SUSS)
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