This repository includes the following files and corresponding Python codes saved in Jupiter Notebooks: upworthy-archive-confirmatory-packages-03.12.2020.csv: Original dataset downloaded from The Upworthy Research Archive (https://osf.io/jd64p/) cleaned_data.csv: upworthy-archive-confirmatory-packages-03.12.2020.csv cleaned with notebook_clean_data.ipynb Data sorted by clickability_test_id Headlines with 0 clicks deleted Variables ctr, mean_ctr, and lift created Variable winner converted to dummy variable Only kept first occurrence of headlines that occur multiple times in the dataset per test Deleted tests with only one headline sample_manual_annotations.csv: sample of 300 headlines of cleaned_data.csv retrieved with notebook_sample_manual_annotations.ipynb inter-annotator_sentiment.csv: input for notebook_inter-annotator_scores_confusion_matrix.ipynb to calculate inter-annotator agreement scores with regard to annotating sentiment inter-annotator_emotion.csv: input for notebook_inter-annotator_scores_confusion_matrix.ipynb to calculate inter-annotator agreement scores with regard to annotating emotion input_sentiment.tsv: input for notebook_sentiment_emotion_test_set.ipynb for sentiment analysis on sample of 300 headlines in sample_manual_annotations.csv input_emotion.tsv: input for notebook_sentiment_emotion_test_set.ipynb for emotion analysis on sample of 300 headlines in sample_manual_annotations.csv input_all_headlines.tsv: input for notebook_sentiment_emotion_final_annotation.ipynb to annotate all headlines in cleaned_data.csv final_dataset.csv: output from notebook_merge_dataframes.ipynb that merges all csv output files from notebook_sentiment_emotion_final_annotation.ipynb with cleaned_data.csv notebook_descriptive_statistics.ipynb: Python code to retrieve descriptive statistics of various variables in cleaned_data.csv NRC-Emotion-Lexicon-Wordlevel-v0.92.txt: NRC Emotion Lexicon used in notebook_sentiment_emotion_test_set.ipynb and notebook_sentiment_emotion_final_annotation.ipynb