D.C. Tweets About Politics, Does the Rest of the Nation Care?
One glance at a map that tracks trends on Twitter by region shows that politics dominates D.C. area tweeting, but does the rest of the nation care?
Trendsmap, a site that keeps tack of "real-time local Twitter trends," shows that D.C. tweeting is consumed with topics such as healthcare reform, Afghanistan, and economic growth.
Terms like "Pelosi," "Democrats," "option," "political," "#healthcare," "unveil," "growth," and "Afghanistan" are among the most popular topics in D.C. today.
Because I’m doing a blogger relations training on Friday, and because everyone loves a good Ten Rules piece, let’s do…Ten Rules for Blogger Outreach
1. Know Your Targets
How do you know whom to pitch if you’re not following the right folks in the first place? Before you reach out, get to know who’s writing about your field, and if possible get to know the kinds of topics each author seems particularly fired up about. Even on big sites such as Huffington Post or Daily Kos, different authors tend to cover their own favorite topics, and if you don’t know who writes about what, it’s very hard to…
4 Emerging Trends of the Real-Time Web
There is a lot of hype surrounding the real-time web, and much of the feeding frenzy reminds me of the RSS space four years ago — though there is a lot of potential, there is also a lot of noise. How do you navigate through it all and which developments should you be paying attention to? What are the emerging trends for companies and entrepreneurs to watch for? Here are four real-time web trends that I’m tracking.
Please share in the comments any other real-time trends that you think will be big.
Trick or Tweet? Malware Abundant in Twitter URLs
As many as one in every 500 web addresses posted on Twitter lead to sites hosting malware, according to researchers at Kaspersky Labs who have deployed a tool that examines URLs circulating in tweets.
The spread of malware is aided by the popular use of shortened URLs on Twitter, which generally hide the real website address from users before they click on a link, preventing them from self-filtering links that appear to be dodgy.
