Overview: Content Strategy

Technology has altered the foundations of news and media, and as trust in media continues to decline, artificial intelligence, machine learning, and algorithms have come to play a critical role not only as threats to the integrity and quality of media, but also as a source of potential solutions. The core threats to information quality associated …

“We wanted democracy... but got mobocracy.”... Bots generated one out of every five political messages posted on Twitter in America’s presidential campaign last year... “we need to reform our attention economy.”... groups which had mostly been excluded from the mainstream media... developed the dark arts they would use to further their agendas..…

We know little about the amount of fake news an average citizen consumes, or how it fits into their overall news diet... What we found calls into question the severity of the fake news crisis.... We gathered data for both the real and fake news sites from comScore... First, the fake news audience is tiny compared to the real news audience–about 1…

Where things get interesting is to consider the deep cognitive mechanisms that shape the emergence of truth networks where a coherent shared set of understandings, assumptions, and beliefs are in play.

Fake news has been around as long as real news...  Social media has certainly transformed how fake news circulates, speeding up its circulation and extending its reach and impact...  a much more important problem ... is the continuing delegitimization of real news by American conservatives...  This is not “fake news.” It is a blatantly ideolog…

A work in progress from an upcoming eponymous post. Another experiment with the enewsletter format: some initial thoughts on this seemingly intractable problem, with some of the source materials I’m studying.

my research team’s analysis of data from Columbia University’s Emergent rumor tracker suggests that this misinformation is just as likely to go viral as reliable information... limiting news fakers’ ability to sell ads... a step in the right direction. But it will not curb abuses driven by political motives... Using BotOrNot, our colleagues found…

Perfectly open communities always go sour. You need filters. Every functional community has them. And that’s where machine learning comes in... If you can detect trolls, you can protect the people they’re trolling by muting or putting a warning over the trolls’ posts... Twitter... already have a way of screening out porn. Why don’t they do the sam…

a lot of people don’t know fake news when they see it, sensationalized reports are more likely to go viral on social media than sane ones, and distrust of traditional (and genuinely more reliable) media sources is rising. Professor Nicole A. Cooke ... focusing on human information behavior, information literacy, and diversity in librarianship.... …

As Facebook attempted to capture the fast-moving energy of the news cycle from Twitter... it built a petri dish for confirmation bias... Here’s how... ‘Share’ Button ... encouraging people to share quickly and without much thought... “original sharing,” where people post their own photos, text updates... was declining..., content from celebritie…

“So all the fact-checking of Trump’s lies, all the investigative journalism about his failures, even the tapes — none of it meant anything.” In short, what happened to news ...? determining what counts as journalism and who counts as a journalist is a perpetual struggle ... No single trend explains the dissolution of news... What we ended up with…

... manually curate 10 stories from other publishers, which will run as a daily edition. Three different articles, often with opposing viewpoints, will run on each story, representing the left, neutral and right-wing political perspectives on the same story... For example, in Wednesday’s edition, it ran a Guardian story entitled “Terrorism publ…

Seems Zuck's taken Filter Bubble criticisms to heart, combining human & machine curation (now where have I heard that before?) to create what Techcrunch calls “content serendipity” (wish I'd coined that one): "Each Section combines stories chosen by Facebook’s human editors and surfaced by the Paper algorithm [from] a publication, blogger, publi…

"You also can't add any site you want, as with a traditional RSS reader. Instead, Facebook has hired a team of content curators to pick stories for you in one of a dozen or so categories ranging from basic news to cute animals." - With Paper, Facebook just blew its own iPhone app out of the water | The Verge