JAR v.IS Project Findings

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Articles		Videos		R

Multiple Linear Regression Model What makes a good Facebook post? This section outlines the explanatory model on the article dataset from Facebook Insights. Response / Dependent Variables We choose to make use of “Total Engagement” as the response/ dependent variable. “Total Engagement” for each post is the sum of the total number of reactions (like, love, wow, haha, angry, sad), comments and shares of that post as of the data retrieval date. Reactions are similar to the ‘likes’ on Facebook, but provides the additional option of reacting with five animated emoji rather than a simple ‘like’ reaction. Other possible response variables include the comment sentiment score measures, and individual engagement metrics but they are ruled out due to reasons such as their non-normal distribution and utility for our sponsor. Explanatory / Independent Variables Article Dataset Metadata for Analysis Header Description Post Message Sentiment Crawled Variable: Sentiment Score calculated using PyCharm python script, AFINN Sentiment words and emoji package Article Text Sentiment Derived Variable: Sentiment Score calculated using PyCharm python script, AFINN Sentiment words and emoji package Number of Images Crawled Variable: Number of Images in the article Number of Videos Crawled Variable: Number of Videos in the article Number of Links Crawled Variable: The number of embedded links in the article Number of syllables Crawled Variable: number of syllables within text Word count Crawled Variable: Total word count Sentence count Crawled Variable: Total sentence count Words per Sentence Crawled Variable: Number of words/sentence in the body of text Flesch reading ease Crawled Variable: Readability Index value of Flesch Reading Ease Flesch kincaid grade Crawled Variable: Readability Index value of Flesch kincaid grade Gunning fog Crawled Variable: Readability Index value of Gunning fog Smog index Crawled Variable: Readability Index value of Smog index Automated readability index Crawled Variable: Readability Index value of Automated readability index Coleman liau index Crawled Variable: Readability Index value of Coleman liau index Linsear write formula Crawled Variable: Readability Index value of Linsear write formula Dale chall readability score Crawled Variable: Readability Index value of Dale chall readability score Difficult words count Crawled Variable: Total count of difficult words Article Category Crawled Variable: The categories of the article, 9 levels Day of Week Derived Variable: The time of the day from the (adjusted) posted column of the article categorical 7 levels Time Interval (Hour) Derived Variable: The time intervals of the articles derived from recursive splitting of the hour from the time of day column, to coincide with morning, afternoon, evening and night, categorical 4 levels Article Authors Crawled Variable: The author of the article. Authors who wrote fewer than 9 articles are collectively grouped into others. Categorical 20 levels Data Transformation / Excluding Outliers Bivariate Fit multi-collinearity Stepwise Regression Evaluation of Model Fit Model Assumptions Interpretation and Managerial insights