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Baffled with David DesRoches

Baffled with David DesRoches

Auteur(s): Quinnipiac University
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 Do you ever wonder why journalists do the things they do? Why do they focus on one thing and ignore another? Should journalists be champions of democracy or does that impede their objectivity? Why do they pretend to be unbiased? And why do they care so much about awards? Baffled with David DesRoches just might have some answers. You might not agree with him, and that's the point -- to start a dialogue about this important industry. Hosted by an award-winning journalist (see that?), this podcast explores those moments when we consume media and say to ourselves, “Huh?” The goal is to offer thoughts on improving journalism and the media industry, and to also help non-journalists better understand the reporting process. In an era when distrust is as common as a cold, the need for podcasts like this cannot be overstated. So go and start one yourself!  This podcast is a production of the Quinnipiac University Podcast Studio.2021 Politique
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  • The Harsh Reality of Forecasting Abuse Using Predictive Analytics

    The Harsh Reality of Forecasting Abuse Using Predictive Analytics
    Sep 8 2022
    Current statistics paint a bleak picture for American children: about one in four kids will experience some form of abuse or neglect at some point in their lifetimes. But, what if we could predict the likelihood of abuse before it happens? What about at birth?  Social scientists and computer programmers are hoping to do just that.  New predictive risk models that promise to be able to determine the likelihood of abuse or neglect are being deployed in public child protective service agencies around the country. However, poorly implemented algorithms have real-world impacts on real people. When used in child welfare cases, algorithms consider things like interactions with police or the welfare system. However, many of these data are proxies for race or poverty. For example, people are more likely to call police on a Black family and give a white family the benefit of the doubt. That interaction with police then becomes data an algorithm considers when determining risk. Again, the data are biased because it comes from biased people, and sometimes the data are even racist. A computer doesn’t know the difference between a racist complaint and a real one. They are both data, and in a computer’s eyes, equally as useful. This episode is a production of the Department of Motion Pictures and Stories of Change, a partnership of the Sundance Institute and the Skoll Foundation, with support from IFP and Quinnipiac University. Our editor is John Dankosky. Our mixers are Ben Kruse and Henry Bellingham. Our producers are Elizabeth Lodge Stepp and Michael Gottwald. Executive Produced by Josh Penn. Research by Kate Osborn. Fact checking by Jacqueline Rabe Thomas. Additional reporting by Colleen Shaddox. Special Thanks to Emily Jampel. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    35 min
  • Aborting Abortion: How to Report Better on One of the Most Heated Topics of Our Time

    Aborting Abortion: How to Report Better on One of the Most Heated Topics of Our Time
    Aug 20 2022
    Covering abortion as journalist is a huge challenge, but we often create more problems by using language that inflames tension and deepens distrust. In this episode, we talk about four things that journalists can do to cover the abortion debate more fairly, and avoid the partisanship trap. This podcast is a production of the Quinnipiac University Podcast Studio. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    34 min
  • Eight Suggestions for Journalists and the Public to Consider as Russia Continues Its Invasion of Ukraine

    Eight Suggestions for Journalists and the Public to Consider as Russia Continues Its Invasion of Ukraine
    Mar 11 2022
    All information that emerges during wartime, no matter where it comes from, is tainted. It’s tainted because of the nature of war. War splits us. It unites one side against the other. It completely eliminates nuance. It over-simplifies everything. It consolidates everything into a neat little package: in this case, Russia versus the world.  And frankly, while Russia is obviously the aggressor here, we should be concerned about how unbalanced the coverage of this war has been. Most journalists are taking a clear side, which might be the right thing to do from a moral perspective, but is it right from a journalism perspective? So how can we – as journalists and as news consumers – make sense of it all? Is it even possible to know the truth about a war when virtually all information is coming with strings attached, and journalists themselves are aligning with one side? Baffled with David DesRoches is a production of the Quinnipiac University Podcast Studio. Our social media coordinator is Jillian Catalano and our video guy is Jake McCarthy. Follow David on Twitter @SavingEJ and follow the studio on Instagram and Twitter @QUPodcasts Learn more about your ad choices. Visit megaphone.fm/adchoices
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    47 min

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