Load frequencies

This is the file to calculate the frecuencies of content types

Adding categories to RTE_Events

Just the first time, we run this code to add the validated categories to the RTE_Events file:

Most frequently retweeted content

Calculating the type of content most frequently retweeted.

## # A tibble: 6 × 4
##   category         Frequency Percentage Median_Retweets
##   <fct>                <int>      <dbl>           <dbl>
## 1 Interesting            199       52.5              14
## 2 Resonance               77       20.3              16
## 3 Emotional Impact        61       16.1              22
## 4 Novelty                 35        9.2              17
## 5 Call to action           6        1.6              37
## 6 Humor                    1        0.3              47

Most retweeted content

Chi Squared test for frequencies

Null Hypothesis: The null hypothesis states that there is no significant difference in frequencies among the categories.

## 
##  Chi-squared test for given probabilities
## 
## data:  category_summary$Frequency
## X-squared = 420.68, df = 5, p-value < 2.2e-16
## The result indicates that we reject the null hypothesis
##  The overall variables are independent and signitificative different
## 
##  Chi-squared test for given probabilities
## 
## data:  specific_counts
## X-squared = 1.8551, df = 1, p-value = 0.1732
## The result indicates that we cannot reject the null hypothesis.
##  Resonance and Emotional Impact are not signitificative different