Here, then, are some reflections on the 10 pieces which did best in 2016 (there were 100 posts across the year), plus the older posts which keep on giving, and a comparison of some pieces which did far better on Medium than on OJB. Continue reading →
Tonight many journalists will have Tweetdeck or similar social media dashboards ‘tuned in’ to coverage of the US election, typically by creating columns to monitor activity on key hashtags like #Election2016. But on a big occasion like this, the volume of tweets becomes unmanageable. Here then are a few quick techniques to surface tweets that are likely to be most useful to reporters:
Picking the right hashtags: Hashtagify
Hashtagify is a tool for finding out the popularity of certain hashtags. Type a tag into the search box and you’ll get a network diagram like the one shown above — but you can also switch to ‘Table mode’ to get a list of tags that you can sort by popularity, correlation, weekly or monthly trend. Continue reading →
When a journalist gets their first job, or switches role to a new area or specialism, they need to quickly work out where to find useful leads. This often involves the use of feeds, email alerts, and social networks. In this post I’m going to explain a range of search techniques for finding useful sources across a range of platforms. Continue reading →
Finding Snapchat accounts to follow is harder than it needs to be. There are some directories, such as Snapcodes, but these rely on user submissions. The iPhone app GhostCodes also ‘curates’ lists of accounts by category, but also relies on users giving their own usernames.
You can find some articles highlighting interesting accounts to follow on Snapchat. One useful search phrase to use for finding those is this:
Here are 4 useful techniques for tracking them down.
Method 1: The advanced search
The most obvious approach is to look for some articles highlighting interesting accounts to follow on Snapchat. You can narrow this a little by using search operators like allintitle: (which restricts results to those where the words are in the page title).
When a national news story breaks and you need local reaction, how do you exclude the national-level updates that dominate all the other coverage? On Twitter there’s a simple answer: search within lists.