I’m trying to remember when it was last this crazy at work. Before we spent a month fighting poor planning and terrible execution on the publication of our new book It Doesn’t Have To Be Crazy At Work. Was it when we got DDoS’ed over two days and were fighting to keep Basecamp on the internet? Was it when we touched the third rail and spoke about customer data in public? Or do we have to go all the way back to the early days when Basecamp went down whenever I, as the only technical person at the time, would get on an airplane?
A bizarre story of publishing what might have otherwise been a bestseller.
Abstract: The News Study research report presents findings about how a sample of U.S. college students gather information and engage with news in the digital age. Results are included from an online survey of 5,844 respondents and telephone interviews with 37 participants from 11 U.S. colleges and universities selected for their regional, demographic, and red/blue state diversity. A computational analysis was conducted using Twitter data associated with the survey respondents and a Twitter panel of 135,891 college-age people. Six recommendations are included for educators, journalists, and librarians working to make students effective news consumers. To explore the implications of this study’s findings, concise commentaries from leading thinkers in education, libraries, media research, and journalism are included.
A great little paper about how teens and college students are finding, reading, sharing, and generally interacting with news. There’s some nice overlap here on both the topics of journalism and education which I find completely fascinating. In general, however, I think in a few places students are mis-reporting their general uses, so I’m glad a portion of the paper actually looks at data from Twitter in the wild to see what real world use cases actually are.
Perhaps there are some interesting segments and even references relevant to the topics of education and IndieWeb for Greg McVerry‘s recent project?
As I read this, I can’t help but think of some things I’ve seen Michael Caulfield writing about news and social media over the past several months. As I look, I notice that he’s already read and written a bit about a press release for this particular paper. I’ll have to take a look at his take on it tomorrow. I’m particularly interested in any insights he’s got on lateral reading and fake news above and beyond his prior thoughts.
Perhaps I missed it hiding in there reading so late at night, but another potentially good source for this paper’s recommended section would be Caulfield’s book Web Literacy for Student Fact-Checkers.
Highlights, Quotes, Annotations, & Marginalia
The purpose of this study was to better understand the preferences, practices, and motivations of young news consumers, while focusing on what students actually do, rather than what they do not do. ❧
October 22, 2018 at 08:28PM
YouTube (54%), Instagram (51%) or Snapchat (55%) ❧
I’m curious to know which sources in particular they’re using on these platforms. Snapchat was growing news sources a year ago, but I’ve heard those sources are declining. What is the general quality of these sources?
For example, getting news from television can range from PBS News Hour and cable news networks (more traditional sources) to comedy shows like Stephen Colbert and The Daily Show with Trevor Noah which have some underlying news in the comedy, but are far from traditional sources. October 22, 2018 at 08:35PM
Some students (28%) received news from podcasts in the preceding week. ❧
October 22, 2018 at 08:38PM
news is stressful and has little impact on the day-to-day routines —use it for class assignments, avoid it otherwise.” While a few students like this one practiced news abstinence, such students were rare. ❧
This sounds a bit like my college experience, though I didn’t avoid it because of stressful news (and there wasn’t social media yet). I generally missed it because I didn’t subscribe directly to publications or watch much television. Most of my news consumption was the local college newspaper. October 22, 2018 at 08:46PM
But on the Web, stories of all kinds can show up anywhere and information and news are all mixed together. Light features rotate through prominent spots on the “page” with the same weight as breaking news, sports coverage, and investigative pieces, even on mainstream news sites. Advertorial “features” and opinion pieces are not always clearly identified in digitalspaces. ❧
This difference is one of the things I miss about reading a particular newspaper and experiencing the outlet’s particular curation of their own stories. Perhaps I should spend more time looking at the “front page” of various news sites? October 22, 2018 at 08:57PM
Some (36%) said they agreed that the threat of “‘fake news’ had made them distrust the credibility of any news.” Almost half (45%) lacked confidence with discerning “real news” from “fake news,” and only 14% said they were “very confident” that they could detect “fake news.” ❧
These numbers are insane! October 22, 2018 at 09:04PM
As a matter of recourse, some students in the study “read the news laterally,” meaning they used sources elsewhere on the Internet to compare versions of a story in an attempt to verify its facts, bias, and ultimately, its credibility.25❧
This reminds me how much I miss the old daily analysis that Slate use to do for the day’s top news stories in various outlets in their Today’s Papers segment. October 22, 2018 at 09:15PM
Some respondents, though not all, did evaluate the veracity of news they shared on social media. More (62%) said they checked to see how current an item was, while 59% read the complete story before sharing and 57% checked the URL to see where a story originated (Figure 7). Fewer read comments about a post (55%) or looked to see how many times an item was tweeted or shared (39%). ❧
I’m not sure I believe these self-reported numbers at all. 59% read the complete story before sharing?! 57% checked the URL? I’ll bet that not that many could probably define what a URL is. October 22, 2018 at 10:00PM
At the tactical level, there are likely many small things that could be tested with younger audiences to help them better orient themselves to the crowded news landscape. For example, some news organizations are more clearly identifying different types of content such as editorials, features, and backgrounders/news analysis.57More consistent and more obvious use of these typological tags would help all news consumers, not just youth, and could also travel with content as itis posted and shared in social media. News organizations should engage more actively with younger audiences to see what might be helpful. ❧
October 22, 2018 at 11:37PM
When news began moving into the first digital spaces in the early 1990s, pro-Web journalists touted the possibilities of hypertext links that would give news consumers the context they needed. Within a couple of years, hypertext links slowly began to disappear from many news stories. Today, hypertext links are all but gone from most mainstream news stories. ❧
October 22, 2018 at 11:38PM
“Solutions journalism’ is another promising trend that answers some of the respondents’ sense of helplessness in the face of the barrage of crisis coverage.62❧
Surveillance capitalism turns a profit by making people more comfortable with discrimination
Facebook’s use of “ethnic affinity” as a proxy for race is a prime example. The platform’s interface does not offer users a way to self-identify according to race, but advertisers can nonetheless target people based on Facebook’s ascription of an “affinity” along racial lines. In other words. race is deployed as an externally assigned category for purposes of commercial exploitation and social control, not part of self-generated identity for reasons of personal expression. The ability to define one’s self and tell one’s own stories is central to being human and how one relates to others; platforms’ ascribing identity through data undermines both. ❧
Talk of Nike Inc. sales taking a hit from the company’s decision to put ex-NFL player Colin Kaepernick at the center of its latest “Just Do It” campaign is looking overblown, based on data from a Silicon Valley digital commerce research company.
Since tracking people took off in the late ’00s, adtech has grown to become a four-dimensional shell game played by hundreds (or, if you include martech, thousands) of companies, none of which can see the whole mess, or can control the fraud, malware and other forms of bad acting that thrive in the midst of it.
And that’s on top of the main problem: tracking people without their knowledge, approval or a court order is just flat-out wrong. The fact that it can be done is no excuse. Nor is the monstrous sum of money made by it.
Some interesting thought and analysis here on the pending death of adtech with the dawn of GDPR in the EU. I’m hoping that this might help bring about a more humanistic internet as a result.
There’s a lot to unpack here, but it looks like some tremendously valuable links and resources embedded in this article as well. I’ll have to circle back around to both re-read this and delve more deeply in to these pointers.
Recorded live Saturday, May 13, 2017. The Gang takes nothing off the table as Doc describes a near future of personal APIs and CustomerTech.
Keith outlines an excellent thesis about media moving from “one to many” to increasingly becoming “one to one”. It points out the issue for areas like journalism, which can become so individualized, and democracy which often rely on being able to see the messages that are given out to the masses being consistent. One of the issues with Facebook and the Cambridge Analytica problem is that many people were getting algrorithmic customized messages (true or not) that had the ability to nudge them in certain directions. This creates a lot more control on the part of major corporations which would have been far less likely when broadcasting the exact same message to millions. In the latter case, the message for the masses can be discussed, analyzed, picked apart, and dealt with because it is known. In the former case, no one knows what the message was except for the person who received it and it’s far less likely that they analyzed and discussed it in the same way that it would have been previously.
In the last portion of the show, Doc leads with some discussion about identity and privacy from the buyer’s perspective. Companies selling widgets don’t necessarily need to collect massive amounts of data about us to sell widgets. It’s the seller’s perspective and the over-reliance on advertising which has created the capitalism surveillance state we’re sadly living within now.
In the closing minutes of the show Steve re-iterated that the show was a podcast, but that it’s now all about streaming and as such, there is no longer an audio podcast version of the show. I’ll have something to say about this shortly for those looking for alternatives, because this just drives me crazy…
Dot-com superb ads, Apple growth, Bezos’s big plan, and more.
Tech ads in the Superbowl. Elon Musk's "Not-a-Flamethrower." Apple, Google, and Amazon quarterly results. What are Amazon's health plans? What game company will Microsoft buy next?