behavioral_exp

This GitHub gathers the Data and Code used in two behavioral experiments that investigate the impact of Native Ads on News Credibility.

automaization: Code and Data to create stimuli:

htmlcode_ads directory contains python code, CSV and html folder:

• python code generate the filled html code with the ads chosen from the CSV files
• html folder contains the output of the python files with filled html codes for the ads

Stimuli1 and Stimuli2 images used in the experiments 1 (all) and 2 (representative sample) respectively. A Dropbox can be shared if you want full access to all stimuli. Reach out!

experiments: Code and Data to analyze the results of the experiments:

• data_exp1 and data_exp2: csv with results of experiments and tables ready to be analyzed
• R codes to create the tables in the right format for analysis as well as R code with models used in analysis
• main_datacleaning.py: python code to clean the raw data from Experiment 1, recovering the randomization.