Overview: Content Strategy
Are you creating the content your audience actually wants to consume, or are you just talking about yourself?
What sort of content will your audience read, out of the endless supply at their fingertips? Formal news articles or blog posts from your staff and readers? An event calendar updated daily, or a longread every month? Static web pages, or a deeply granular database with faceted search?
And have you figured out how to get it to them, develop engagement around it, and translate that success into something concrete, fulfilling your mission? How many of the friends and organisations in your network amplify your message regularly?
Need answers? Get in touch.
More services: start with Communication strategy.
Relevant resources
medium.com
This month sees the first generation of Hubs (other than mine) go live, so it’s time to imagine what comes next: AI integration? Filter-bubble Piercers? HubBots? Factcheck-driven credibility scores?
Think
ai,
filter bubble,
factchecking,
curation,
machine learning,
machine translation,
curatorbot,
myhub,
machine text
towardsdatascience.com
We made a fake news detector with above a 95% accuracy (on a validation set) that uses machine learning and Natural Language Processing that you can download here. In the real world, the accuracy might be lower... we decided to just try and scrape domains that were known fake, real, satire, etc. and see if we could build a data set quickly... Th…
www.newsqualityscoring.com
The News Quality Scoring (NQS) will combine quality journalism content with new machine learning algorithms... as batch of stories enter the platform, they are scored on a 1-5 scale ... quality ... automatically and in real time.... Quantifiable Signals ... look at structure and patterns of the HTML page, advertising density, use of visual eleme…
www.theverge.com
Facebook’s application for Patent 0350675: “systems and methods to identify objectionable content.” ... filed in June 2015, describes a sophisticated system for identifying inappropriate text and images and removing them from the network... improve the detection of pornography, hate speech, and bullying... much easier to identify than false news s…
gigaom.com
"... envisions a Yahoo that’s as ubiquitous as computers seem destined to be. Phones, watches, public terminals, brain implants — Yahoo wants to be able to deliver content to all of them... Yahoo Labs’ biggest focus appears to be on machine learning... a dedicated machine learning group based in New York; ... “hardcore science and some theory,…