<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Journalism on Harlan D. Harris</title><link>https://harlanh.tech/tags/journalism/</link><description>Recent content in Journalism on Harlan D. Harris</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>harlan@harris.name (Harlan Harris)</managingEditor><webMaster>harlan@harris.name (Harlan Harris)</webMaster><lastBuildDate>Mon, 29 May 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://harlanh.tech/tags/journalism/index.xml" rel="self" type="application/rss+xml"/><item><title>A Critique of The Markup’s Investigation into Predictive Models of Student Success</title><link>https://harlanh.tech/2023/05/a-critique-of-the-markup-s-investigation-into-predictive-models-of-student-success/</link><pubDate>Mon, 29 May 2023 00:00:00 +0000</pubDate><author>harlan@harris.name (Harlan Harris)</author><guid>https://harlanh.tech/2023/05/a-critique-of-the-markup-s-investigation-into-predictive-models-of-student-success/</guid><description>
&lt;p&gt;Recently, tech-journalism site The Markup ran a
&lt;a href="https://themarkup.org/machine-learning/2023/04/27/false-alarm-how-wisconsin-uses-race-and-income-to-label-students-high-risk"&gt;long, detailed, critical investigation&lt;/a&gt;
of a predictive machine learning model used by the State of Wisconsin to identify
public school students at risk of not graduating.
I mostly agree with the conclusions of the piece -- the system appears not to
be fit for purpose and needs to be substantially improved -- but I want to
comment on several aspects of the model and the Markup’s reporting. Although I
know nothing about the Wisconsin model beyond what is reported, I know a lot
about predictive student success risk models, having led a team of data
scientists who built related models used by colleges and universities when
I worked at &lt;a href="https://eab.com/products/navigate/"&gt;EAB&lt;/a&gt; from 2014 through 2016.&lt;/p&gt;</description></item><item><title>Online publishing, micropayments, and warm fuzzy feelings</title><link>https://harlanh.tech/2009/10/online-publishing-micropayments-and-warm-fuzzy-feelings/</link><pubDate>Tue, 20 Oct 2009 00:00:00 +0000</pubDate><author>harlan@harris.name (Harlan Harris)</author><guid>https://harlanh.tech/2009/10/online-publishing-micropayments-and-warm-fuzzy-feelings/</guid><description>
&lt;p&gt;The problem of how to monetize online publishing, particularly news publishing, is neither new nor all that surprising. But the ongoing lack of a solution is steadily eating into news organizations across the country. Yesterday, &lt;a href="http://www.nytimes.com/2009/10/20/business/media/20times.html?ref=business"&gt;the Times announced it was going to buy out or lay off 8% of its newsroom staff&lt;/a&gt;, despite being the best national newspaper in the country and probably the one making the best use of Internet technologies. (&lt;a href="http://infosthetics.com/cgi-bin/mt/mt-search.cgi?search=nytimes&amp;amp;IncludeBlogs=1&amp;amp;limit=20"&gt;Their interactive graphics are some of the best around.&lt;/a&gt;) How can newspapers make money on the web? Ad revenue is inadequate, and people won’t generally pay for content. &lt;a href="http://www.niemanlab.org/2009/09/micropayments-for-news-the-holy-grail-or-just-a-dangerous-delusion/"&gt;This post&lt;/a&gt; from a journalism blog at Harvard discusses why micropayments will never work:&lt;/p&gt;</description></item></channel></rss>