Lesson 9 Objectives

Big data is related to social media in terms of the types of data it generates. Which of the following types of data is NOT typically generated by social media?

• Text data

• Image data

• Audio data

• Geospatial data

Strategies for analyzing big data generated from social media include:

• Using machine learning algorithms

• Manual data entry

• Ignoring the data

• Deleting the data

Identify the characteristics of big data, including volume, velocity, variety, veracity, confidence, context, and choice.

• Volume, velocity, variety, veracity, confidence, context, and choice are characteristics of big data.

• Big data is characterized by volume, velocity, and variety only.

• Veracity and confidence are not characteristics of big data.

• Context and choice are unrelated to big data.

Social media mining is the process of extracting valuable information from social media platforms. Which of the following best describes this process?

• Analyzing data from social media to gain insights

• Posting updates on social media

• Creating social media accounts

• Deleting social media profiles

To extract and archive data from social media, one should use:

• manual copy-pasting

• data scraping tools

• screen capturing

• none of the above

The process of cleaning and transforming big data so it is ready for analysis involves:

• Data collection and storage

• Data cleaning and transformation

• Data visualization and reporting

• Data encryption and security

Visualizing big data from social media can help a company when analyzing data by:

• identifying trends and patterns

• improving customer service

• reducing operational costs

• enhancing data security

Calculate social media ROI by:

• Tracking engagement metrics like likes, shares, and comments

• Measuring the increase in followers over time

• Comparing the cost of social media campaigns to the revenue generated

• Analyzing the sentiment of comments and mentions

Identify the types of social media metrics that can be used for different stages of the social media funnel.

• Engagement, Reach, Conversion

• Likes, Shares, Comments

• Followers, Impressions, Clicks

• Views, Mentions, Leads

Describe what a conversion is in social media, how to measure conversions and the various types of conversion attribution models.

• A conversion in social media is the act of a user completing a desired action, such as making a purchase or signing up for a newsletter. Conversions can be measured using tracking pixels, analytics tools, and conversion rates. Various types of conversion attribution models include last-click, first-click, linear, time decay, and position-based models.

• A conversion in social media is the number of likes a post receives. Conversions can be measured by counting likes and shares. Various types of conversion attribution models include like-based, share-based, and comment-based models.

• A conversion in social media is the total number of followers gained over a period. Conversions can be measured by tracking follower growth. Various types of conversion attribution models include follower-based and engagement-based models.

• A conversion in social media is the number of comments a post receives. Conversions can be measured by counting comments and interactions. Various types of conversion attribution models include comment-based and interaction-based models.