Types of angles in a story

Picture that says News

News story: Brexit: MPs to have final vote by 12th March, says May

Types of angles

  • National angle: this story is major news across the whole country and across the world as Britain is planning on leaving the EU
  • Local angle: it can be seen to have a local angle as the vote is happening just in the UK, so this news story applies locally.
  • Timing and proximity: a date of the 12thMarch has been included in the story this is a time of when MPs will get a final vote on Brexit.
  • Consequence: May is allowing MPs to have a final vote to make sure MPs are happy to go through with Britain leaving the EU.

Using Data In A News Story

News story I found: UK employment hits record high

I would use data to develop this story by finding data that shows how people being in employment has risen in the last few years, I would also find data that shows how many people are unemployed. I would also maybe try to interpret reasons as to why more people are getting jobs and what could be the reason towards this.

The angle I would take is employment in the UK is rising and I would add data to show this and interpret.

The Office for National Statistics have published data that shows employment over the years has risen. Click here to see the data

How we approach statistical data

Reasoning is key

People to notice how they feel about a claim before they read it and notice their own emotional reaction and think about whether they should retweet it.

People highly biased by the way they processed information

Certain things that we want to be true

Inequalities rising- within the UK or globally, consumption, gender, race, pre-tax/post tax inequality- lots of different claims can be made

Look at correlation and causation- is there a link or is it a cause

Some data can be left out as you can’t convey what has been put in and what’s missing in the data

Try understanding data by looking at averages, so you can see a tiny fraction of what you can see

Understand the back story and think about where it has come from and why has it come up, why is data worth sharing.

Does it come from an academic source?

What is the process by which the data has come in front of you?

Be curious

The State of Union speeches

The infographic from The Atlantic website which has a post on the Language of the State of the Union. It shows how American presidents use words to reflect the twists and turns of American history. The chart provides information which is very clear as it’s labelled clearly by each Presidents name, however, the scale on the chart is very big which makes it very hard to understand how many words per million some Presidents have spoken for example, Andrew Jackson has spoken in between 0 to 200 words per million, but we don’t know the exact figure. The chart may be biased towards some presidents to make them look good to the public in American history as they have been colour coded in colours red and pinks which may look more vibrant and serious.

Another infographic is from the Vox, which also extrapolates words Obama had used during his time as president. This chart is much clearer and easier to read as the scales are much smaller and easier to understand. By looking at it straight away we can understand that Obama has spoken around 7,000 words. The colour they have used on the chart is also good as it’s not too much of a bright colour which makes it hard to see writing. The chart also goes onto add comparisons to other American Presidents.

The Washington Post have an infographic of looking at the frequency of a series of selected terms grouped into 7 topics. The data is very hard to understand as the colours red and blue both overlap at times in the data, this makes it hard for people to easily read the data. A good thing about it is that if you move around the data there is information explaining parts of the data to help people have a deeper understanding. This data has got good scales and topics are separated which is good and clear. However, it’s not the best type of infographic to use as it can be quite confusing and hard to extrapolate.

All infographics differ in approaching the data types used, they all have good things to them and bad as they can all be confusing but using good scales and colours makes it easier to understand the infographics.