Phil 1.24.19

7:00 – 4:30 ASRC NASA/PhD

  • Fake news on Twitter during the 2016 U.S. presidential election
    • The spread of fake news on social media became a public concern in the United States after the 2016 presidential election. We examined exposure to and sharing of fake news by registered voters on Twitter and found that engagement with fake news sources was extremely concentrated. Only 1% of individuals accounted for 80% of fake news source exposures, and 0.1% accounted for nearly 80% of fake news sources shared. Individuals most likely to engage with fake news sources were conservative leaning, older, and highly engaged with political news. A cluster of fake news sources shared overlapping audiences on the extreme right, but for people across the political spectrum, most political news exposure still came from mainstream media outlets.
  • One Simple Trick is now live on IEEE!
  • Antibubbles is going well
  • Work on CHI review. Mention this: Less than you think: Prevalence and predictors of fake news dissemination on Facebook
  • Starting to work on the Slack data ingestion and database population. I really want a file dialog to navigate to the Slack folders. StackOverflow suggests tkinter. And lo, it worked just like that:
    import tkinter as tk
    from tkinter import filedialog
    
    root = tk.Tk()
    root.withdraw()
    
    file_path = filedialog.askopenfilename()
  • More beating on the prediction pipeline
    • Load up all the parts of the prediction histories and entries – done
    • Store the raw data in the various prediction tables – done
    • populate PredictedAvailableUDO table – done
    • There’s an error in interpolate that I’m not handling correctly, and I’m too cooked to be able to see it. Tomorrow. interpolatebug

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