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CCB302, Digital Media Analytics
创建日期：2024-06-04 16:38:17
标签： CCB302
Digital Media Analytics

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CCB302, Digital Media Analytics, Assessment One

Due Date Refer to Canvas
Length 2000 words (maximum)
Weight 50%
Individual/Group Individual
Submission Items A report (Word or PDF)
A Tableau Workbook (Packaged Workbook in .twbx format)
The aim of the A2 project is to build on your skills working with larger social media metadata
datasets (from YouTube), and perform mixed methods analyses using industry-standard tools.
Students are asked to create visualisations in Tableau and Leximancer and prepare an analytical
report.
I mentioned this conference paper & video during the last lecture. It features a presentation by
QUT Digital Media Research Centre Professor Laureate Axel Bruns titled From Cable Niche to
Social Media Success: International Engagement with Sky News Australia's Brand of 'News' (AoIR 2021),
 You may wish to view it if you discuss the finding that Sky
News Australia is the dominant content publisher on the Voice Referendum both before & after
Garma.
IMPORTANT NOTE
It is a requirement of the ethical clearance you have received in this unit that you do
not publish any identifiable information about your datasets in this assignment. What
you find through your analysis of the datasets should only be shared with the teaching
team and must not be disclosed elsewhere.
Making any aspect of your datasets public (such as posting on social media about it) is
in violation of your ethical clearance and will result in disciplinary action.
There are three steps to doing this assignment.
Step One: Read the A2 Project Brief (a separate document)
Read the A2 Project Brief carefully. It contains a list of questions related to metrics, tool used to
gather the social media metadata, the data dictionary, and other governance considerations.
The datasets you have been provided with contain YouTube video metadata. We are providing
you with more prompts than can be answered in a single report. It is up to you to decide which
2
questions to answer. You do not get more points for answering a greater number of questions.
Rather, you will be assessed on your in-depth analysis of the data and inclusion of relevant
citations.
There are prompts that can be answered easily, without creating visualisations. Others can be
answered using clear, simple visualisations (i.e., right choice of graph, legible axes, clear and legible
annotations).
Step Two: Analysis and Visualisations in Tableau
Youte
As in A1, this data was collected using Youte. a tool developed by the QUT Digital Observatory
that collects and tidies YouTube video metadata and comments using the YouTube API v.3.

Please see the Youte documentation to familiarise yourself with the tool

You are not expected to install or run the tool for

this project. You should understand who produced the tools used for data extraction and cite
them accordingly. **
You should refer to the YouTube API Data Dictionary (see below). When writing, use the
field names and descriptions when talking about the metadata fields. For example, if
discussing the keywords associated with a video, you might say, ‘the tags used for this video
were X, Y and Z’ and list them in a table. **
Steps for Analysis
a) Join the datasets as you did for A1. This time, you have two sets of data, ‘before Garma’
and ‘after Garma’ to allow you to do some temporal analysis.
b) Review some of the comments in Tableau or a spreadsheet (that doesn’t truncate the
content) to get a sense of the data & insights you may wish to drill into.
c) You are to perform an analysis demonstrating your understanding of why digital analytics
matters, and how it is performed, this time using multi-method content analysis.
d) Then, respond to a selection of the questions below (‘Prompts for your analysis’).
e) Be creative and explore the data with an open mind, incorporating concepts discussed in
all the lectures, L1 – Why does digital analytics matter? thru L6 – Bringing it all together).
f) You may focus on YouTube and why its participatory culture, (YouTube’s core business
discussed in Lecture #4).
g) Alternatively, you may choose to drill down to the dynamics of how various publishers used
YouTube during a key inflection point in modern Australian history to hold the Voice
Referendum. Consider the stance/positionality of the publishers (conservative through
progressive), funding model (privately held or publicly funded). Did they increase or
decrease the publications on YouTube before or after the Garma Festival. **
3
h) Discuss insights the data reveals. You are intended to show an understanding of the
concepts & readings discussed in CCB302, and background knowledge you have as a
Communication major.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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