Media Data Science Study

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67 Terms

1
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What is the Total Fertility Rate (TFR)?

The average number of children a woman would have in her lifetime.

2
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Why is understanding TFR important?

It helps with policy formulation, economic planning, and understanding population changes.

3
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What are data-driven insights in the context of low birth rates?

Insights based on analysis of government initiatives, regional variations, and cultural factors.

4
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What is data?

The physical representation of information for communication or processing; can be quantitative or qualitative.

5
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What is the DIKW Pyramid?

A model showing how Data becomes Information, then Knowledge, then Wisdom.

6
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What is common method bias?

When the measurement method itself distorts results.

7
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What is Big Data?

Extremely large datasets analyzed computationally to reveal patterns, trends, and associations.

8
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Why do we analyze Big Data?

To make smarter decisions, predict outcomes, and discover new insights.

9
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What are the 5 V’s of Big Data?

Volume, Velocity, Variety, Veracity, and Value.

10
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What tools are used to analyze Big Data?

Hadoop, Spark, databases, charts, and machine learning algorithms.

11
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What is Business Intelligence (BI)?

A process of analyzing large data sets to support business decision-making.

12
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What is analytics?

The use of statistical models and data analysis to guide decisions.

13
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Why does data explode?

Due to digitalization and globalization.

14
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What is a Data Warehouse?

A central repository for storing and analyzing structured data from multiple sources.

15
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What is a Data Mart?

A subset of a data warehouse focusing on a specific department or function.

16
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What is a Data Governance Plan?

Policies and procedures that ensure data security, quality, and compliance.

17
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What is IoT (Internet of Things)?

A network of connected devices that collect and exchange data.

18
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What is Media Analytics?

The use of data analytics to understand audiences, advertising, and content performance.

19
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What is a Boundary Spanner?

Someone with both media and analytical skills who bridges communication gaps.

20
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What is a Data Journalist?

A journalist who uses data analysis to produce and publish stories efficiently.

21
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What is the Data Economy?

An economy in which data functions as an asset or capital for monetization.

22
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What is the Value Chain in business?

The process of transforming inputs into valuable outputs through sequential steps.

23
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What is a Disruptive Player?

A company that reshapes industries with innovation (e.g., Netflix).

24
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What is the Big Data Value Chain?

The series of stages from data acquisition to data usage.

25
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What are the Five Core Technologies of Big Data?

Social Media, Mobile, IoT, Cloud, and Big Data Analytics.

26
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What is Social Data?

Data created by users on social media platforms reflecting real-time opinions and actions.

27
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What is Text Mining?

Using natural language processing to extract patterns from text data.

28
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What is Opinion Mining?

Analyzing sentiment in user opinions and social posts.

29
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What is Network Analysis?

Studying connections between entities to reveal influence and structure.

30
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What is the Six Degrees of Separation theory?

The idea that any two people are connected by six or fewer social links.

31
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What is the Strength of Weak Ties theory?

Weak ties expose individuals to new information outside their close circles.

32
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What is GDPR?

The European General Data Protection Regulation protecting user privacy.

33
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What is the Metaverse?

A shared, virtual online environment combining AR and VR technologies.

34
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What is the Slow News Movement?

Journalism that emphasizes thoughtful, contextual storytelling instead of breaking news.

35
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What is a Data Clean Room?

A secure environment where multiple organizations analyze shared data privately.

36
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What is Infographics?

Visual storytelling that combines images and text to convey information clearly.

37
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What is Graph Distortion?

Misrepresentation of data visuals that creates misleading impressions.

38
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What is Data Literacy?

The ability to read, write, and communicate data in context.

39
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What are the 4 key knowledge areas of Data Literacy?

Data collection, management, evaluation, and application.

40
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What is Information Literacy?

The ability to access, evaluate, and use information effectively.

41
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What is Media Literacy?

The ability to access, analyze, evaluate, and create media messages critically.

42
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What is Digital Literacy?

The ability to use digital technologies to find, evaluate, and communicate information.

43
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What is ICT Literacy?

Using digital technologies and networks to solve information problems.

44
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What is New Media Literacy (NML)?

The ability to critically consume and create content in digital, participatory environments.

45
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What are the 4 dimensions of New Media Literacy?

Functional consumption, critical consumption, functional prosumption, and critical prosumption.

46
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What is Disinformation?

False information deliberately created to cause harm.

47
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What is Misinformation?

False information shared without harmful intent.

48
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What is Malinformation?

True information used to harm a person or organization.

49
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What is Data Citizenship?

Ethical participation and responsibility in data management and use.

50
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What are the 3 components of Data Citizenship?

Data Thinking, Data Doing, and Data Participation.

51
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What is Data Analysis?

Cleaning and examining data to draw meaningful conclusions.

52
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What is Data Visualization?

Representing data visually with charts or graphs.

53
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What is Data-driven Communication?

Explaining or persuading using data insights.

54
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What are the benefits of Data Literacy in organizations?

Improved innovation, decision-making, and competitiveness.

55
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What are the challenges of low Data Literacy?

Poor decisions, skill gaps, and reduced data trust.

56
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What is Data Governance?

A framework ensuring data quality, consistency, and security in organizations.

57
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What are the main data governance structures?

Centralized, Decentralized, and Hybrid.

58
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What is an Analysis Platform?

A computer system that supports analytical applications and data services.

59
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What is Organizational Readiness and Maturity?

The level of analytical skill, infrastructure, and culture within an organization.

60
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What are Netflix’s uses of Data?

Recommendation algorithms, content optimization, and decision support.

61
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What are the 10 key Data Literacy skills?

Handling, Collection, Tracing, Sensitive Data Protection, Analysis, Evaluation, Relevance, Interrelationships, Visualization, and Application.

62
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Chartmetric is a B2B software that summarizes and presents OTT data into a dashboard.

False

63
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Content-based networks like YouTube and TikTok have become popular for news.

True

64
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The New York Times’ lawsuit against OpenAI is likely the first of many copyright battles.

True

65
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Infographics means Information + Visualization.

False (It means Information + Graphics.)

66
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Data literacy is defined by Gartner as the ability to read, write, and communicate data in context.

True

67
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Netflix first started as a DVD-by-mail rental service.

True