Tag: data journalism

94 | Uncertainty and Trumpery with Alberto Cairo

[Hey friends, help us fund the show by donating to Data Stories on Patreon! We’re counting on you to switch to a crowdfunding model. Please visit our Patreon page for more details: https://www.patreon.com/datastories.]

In this episode, we have Alberto Cairo from the University of Miami on the show to talk about his newly announced lecture series on “Trumpery” and uncertainty.

Visualization and statistics promise to help people think and behave more rationally, but as we all know there is much more to fulfilling this promise than just showing “the right” graph.

With Alberto we touch upon many topics including partisanship and rhetoric, visualizing uncertainty and risk, and cognitive biases.

There is of course always much more to say on these topics, but this is a good start!

Enjoy the show.


Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at qlik.de/datastories.


Links



Related episodes

85 | Machine Bias with Jeff Larson

ProPublica - Jeff Larson http://www.propublica.org
ProPublica – Jeff Larson
http://www.propublica.org

On the show this week we have Jeff Larson, Data Editor at ProPublica, to talk about his team’s recent work on “Machine Bias“. Jeff and his colleagues have analyzed the automated scoring decisions made by COMPAS, one of the systems American judges use to assess the likelihood that a convicted criminal will re-offend.

By looking at the COMPAS data, Jeff and his colleagues sought to determine the accuracy of the algorithm and whether it introduces significant biases into the criminal justice system — racial or otherwise. (Their finding: Yes, it seems that it does.)

On the show we talk about how the software is used by judges, how the ProPublica analysis was carried out, what the team found, and what can be done to improve the situation.

Jeff also gives us a small preview of other stories his team is working on and how you can go about developing similar projects.

Enjoy the show!


This episode of Data Stories is sponsored by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Take a look at their Presidential Election app to analyze the TV network coverage for every mention of both Donald Trump and Hillary Clinton. And make sure to try out Qlik Sense for free at: qlik.de/datastories.


 

Links


Related episodes

77 | Polygraph and The Journalist Engineer Matt Daniels

mattWe have Matt Daniels on the show, the “journalist engineer” behind Polygraph, a blog featuring beautiful journalistic pieces based on data. If you are not familiar with the site, stop now and take a look.

Matt starts with a simple question — for example, what songs from the ’90s are still popular? — and tries to answer it through data analysis and visualization. The result is always a well-crafted web page and applications, with a mix of data analysis, interactive graphics, and explanations.

On the show we talk specifically about two projects: “The most timeless songs of all-time,” in which Matt analyzes song popularity from Spotify data, and “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age,” in which he examines movie dialogues as a way to dig deeper into gender biases in the film industry.


This episode of Data Stories is sponsored by CartoDB. CartoDB is an open, powerful, and intuitive platform for discovering and predicting the key facts underlying the massive location data in our world. Whether you are a business, government agency, or simply a lover of revolutionary spatial insight technology, don’t settle for anything less than the best interactive maps around. Learn how CartoDB is shaping the world of location intelligence at cartodb.com/gallery and check out the Location Data Services mentioned in the ad.


LINKS

Matt Daniels
Matt’s Medium article “The Journalist Engineer
Project: “The largest vocabulary in Hip Hop
Project: “How music taste evolved
Project: “The most timeless songs of all-time
Project: “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age
Washington Post: “Doctors fire back at bad Yelp reviews — and reveal patients’ information online” (Collaboration between Enrico’s Lab and ProPublica)


Related episodes