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
Data scientist David Robinson was behind one of the most striking data stories of this US election season, when his analysis of Donald Trump tweets appeared to confirm that Trump was posting the angriest comments on that account (jointly managed by his campaign staff). Barbara Maseda spoke to Robinson about the story behind that text analysis and what comes next.
It was August 9 when David Robinson published his analysis of Trump tweets on his blog. Robinson had used a series of libraries in the programming language R to collect, clean, process and visualise the data. The process took just 12 hours, from Saturday night through Tuesday morning.
In the following days, the piece would be re-posted and cited by multiple websites, including The Washington Post and Mashable. The original piece alone had hundreds of thousands of views in just a few days.
The result wasn’t just one election story, but one of the biggest indications yet of the potential of text analysis for journalists, with three takeaways in particular: Continue reading
Well here’s an update: not only is that infrastructure now a reality, but it has become much more complex. And as these tools have become more widely adopted it has shifted the focus on information management from the institution to the individual journalist. Continue reading
Twitter’s analytics service is a useful tool for journalists to understand which tweets are having the biggest impact. The dashboard at analytics.twitter.com provides a general overview under tabs like ‘tweets’ and ‘audiences’, and you can download raw data for any period then sort it in a spreadsheet to see which tweets performed best against a range of metrics.
However, if you want to perform any deeper analysis, such as finding out which days are best for tweeting or which times perform best — you’ll need to get stuck in. Here’s how to do it. 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
Do you run one of the 33 million Twitter accounts whose passwords were hacked recently?
Did you once have a MySpace account, and are one of the 360 million whose passwords have been hacked?