It transpires that retweeting a defamatory tweet might be libellous. The scary thing is that we’re all at risk of falling foul of this, one way or another.
Recently I decided that I needed to take my feeds a little more seriously. I’ve been trying to upgrade my workflows using a combination of Google Reader (with Reeder on my iOS devices), Instapaper, and Evernote. And I’ve been reorganising my feed collections. How it used to be Previously I’d opted for a kind of […]
I don’t like commenting on news stories; I’m not really that kind of blogger (I don’t know what kind of blogger I am; but the prognosis isn’t good.) For one thing, it takes me a while to make up my mind about stories; to dig around and get the facts. For another when I have […]
Early in 2012, DenizBank announced that they would allow Turkey’s ~30m Facebook users to check their credit cards and account information, and transfer money from within a Facebook App. There’s a lovely case study that seems to show a couple of Turkish pirates who are happy to help you with all your banking needs. Six […]
What is a Facebook App? You’ll get different answers based on who you ask, but surely the most common answer — from most agencies and their clients — will still be something like, “an application that sits inside Facebook.” I’d like to suggest that it’s all about the open web (which these days more or […]
Blearily scanning my feeds early this morning, I came across a story that made me leap out of bed clutching my hair in both fists. This in turn woke a startled Mrs Morrison who asked me what on earth could be bothering me so early in the morning (this is a polite reconstruction of her […]
Last January, fashion e-tailer Asos announced that they were opening Europe’s first Facebook store or F-Store. F-Stores were a hot pick for everyone’s 2011 trend predictions. It’s a matter of time — within the next five or so years — before more business will be done on Facebook than Amazon(Sumeet Jain, Principal, CMEA Capital) Now […]
Negative Sentiment (or "Sentiment Analysis is Sh*te") View more presentations from Mat Morrison Here’s a brief summary: Automated sentiment analysis uses a combination of two approaches to determine sentiment: lexical analysis (which looks for emotionally-weighted words) and machine-learning (which relies on a “training corpus” of manually scored documents to predict the emotional content of new […]