=====Literacy Lab 2: Tweet Sentiment:=====

Now that 2020 is behind us, we can all breathe a collective sigh of relief and start sciencing it.

====Objective:====

To begin to think creatively and critically about data visualizations and analysis.

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====Deliverable:====

1 one-page PDF (no MSWORD, please!) writeup that responds to the questions below.

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====Grading standards:====

Your PDF will be graded on the following:

  * 100% Successfully turned in a PDF with reasonable answers

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====Lab Description:====

For this assignment, you will need to analyze the following infographic, and respond to the questions below.  Please submit your responses as a one-page PDF via LearningSuite.

{{::twitter_sadness.png?nolink|}}

You must respond to the following questions.

This infographic was published in an [[https://www.economist.com/graphic-detail/2020/12/31/twitter-users-have-had-their-most-miserable-year-yet|Economist article]].  It relies on a technique called [[https://monkeylearn.com/sentiment-analysis/|sentiment analysis]].

  * What can you conclude from this data?
  * What can't you conclude from this data?
  * What are the limitations of possible conclusions based on the way the data was collected?
  * Does this data tell us anything about how to make the world a better place?