How to Burst the “Filter Bubble” that Protects Us from Opposing Views
Computer scientists have discovered a way to number-crunch an individual’s own preferences to recommend content from others with opposing views. The goal? To burst the “filter bubble” that surrounds us with people we like and content that we agree with.
Twitter Data Portraits
Lexigraphs I is the first visualization from the Data Portraits series. Micro-blog authors use mobile text messaging or web interfaces to post short answers to the question What are you doing?, creating a stream-of-consciousness account of their daily encounters, musings, plans and actions. Using salient words from an individual’s postings, we visualize the topical and temporal patterns to create a portrait of the author.
What Your Tweets Say About You
How much can your tweets reveal about you? Judging by the last nine hundred and seventy-two words that I used on Twitter, I’m about average when it comes to feeling upbeat and being personable, and I’m less likely than most people to be depressed or angry. That, at least, is the snapshot provided by AnalyzeWords, one of the latest creations from James Pennebaker, a psychologist at the University of Texas who studies how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to gauge our psychological states and various aspects of our personality.
What does AnalyzeWords do?
AnalyzeWords helps reveal your personality by looking at how you use words. It is based on good scientific research connecting word use to who people are. So go to town – enter your Twitter name or the handles of friends, lovers, or Hollywood celebrities to learn about their emotions, social styles, and the ways they think.
What a Twitter algorithm could mean for brands, publishers
The inevitable is nearer than we thought: Twitter is looking to introduce an algorithm-driven feed in 2015, the implications of which could be profound for the service’s advertisers and users.
Why Twitter Should Not Algorithmically Curate the Timeline
It’s the Human Judgment of the Flock, Not the Lone Bird, That Powers It
Twitter buys social data provider Gnip, stock soars
Twitter Inc bought social data provider Gnip for an undisclosed amount, signaling that it would take on a new role of packaging and selling data, a service in demand by business and government.