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Introduction

Welcome to the first in a series of monthly posts where we’ll be showcasing the power of our News API by looking back at online news stories to uncover emerging insights and trends from topical news categories.

For February, we’re taken a look at the following three news categories;

  1. Arts & Entertainment
  2. Science
  3. Politics

and for each category we have performed the following analysis;

  • Publication volumes over time
  • Top stories
  • Most shared stories on social media
  • Most mentioned topics

Try it yourself

We’ve included code snippets for each of the analyses above so you can follow along or modify to create your own search queries.

If you haven’t already signed up to our News API you can do so here with a free 14 day News API trial.

Arts & Entertainment

The graph below shows publication volumes in the Arts & Entertainment category throughout the month of February 2017.

Note: All visualizations are interactive. SImply hover your cursor over each to explore the various data points and information.

Volume of stories published: Arts & Entertainment

From the graph above we can see a number of spikes indicating sharp rises in publication volumes. Let’s take a look at the top 3;

Top stories

The three stories that contributed to the biggest spikes in news publication volumes;

  1. The Academy Awards (aka the Oscars)
  2. The BAFTAs & Grammys take place on the same night
  3. Reviews of Lady Gaga’s performance during the Super Bowl halftime show

It is interesting to note that the Oscars generated more content than both the BAFTAs and Grammys combined.

While sport-related content is not included in this category, we did see a spike in stories mentioning Lady Gaga after her Super Bowl performance in the halftime show. These stories focused mostly on the singer’s performance and her choice of outfits.

Try it yourself – here’s the query we used for volume by category

Read more: We analyzed 2.2 million Super Bowl tweets to gauge public and media reaction to the game itself and the brands/celebrities featuring throughout;

Sentiment Analysis of 2.2 million Super Bowl tweets from Super Bowl 51

Using NLP to understand how Twitter and the media reacted to the Super Bowl 51 ads battle

Most mentioned topics

From the 52,000+ articles we sourced for the Arts & Entertainment category in February we looked at the most mentioned topics;

With three of the biggest award events in the film and music industries taking place in February, it is no surprise to see these two topics as the top two most mentioned.

Try it yourself – here’s the query we used for most mentioned topics

Read more: We looked at the online news media reaction the the 89th Academy Awards;

The Oscars: analyzing 22,000 news stories using Natural Language Processing & Text Analysis

Most shared on social media

What were the most shared stories on social media? We analyzed share counts from Facebook, LinkedIn and Reddit to see what type of content is performing best on each channel.

Facebook

  1. 50 Most Popular Women on the Web, Per Google Search Results (ABC News. 152,570 shares)
  2. Adam Levine to Receive Star on Hollywood Walk of Fame (Billboard. 103,658)

LinkedIn

  1. 14 of the Best Brands on Instagram Right Now (HubSpot. 2,158 shares)
  2. PwC issues apology after Oscars best picture envelope mistake (The Guardian. 1,354)

Reddit

  1. Louis C.K. Inks Deal With Netflix for Two Stand-Up Specials (Variety. 32,534 points)
  2. Childish Gambino is ‘definitely’ working with Chance the Rapper (MTC. 20,013 points)

Try it yourself – here’s the query we used for social shares


Science

We sourced a total of 26,000+ news stories categorized under Science and found that scientific discoveries tend to generate the most news content.

Volume of stories published: Science

Top stories

  1. NASA announce the discovery of 7 Earth-like planets
  2. Scientists turn food poisoning microbe into powerful cancer fighter
  3. Scientists reveal a new 8th continent called ‘Zealandia’

On February 22 NASA were excited to share the news that they had discovered 7 Earth-like planets just 40 light years away that could potentially harbour alien life.

Closer to home, it was discovered that an eighth continent Zealandia existed and that a food poisoning microbe could be turned into a powerful cancer fighter.

Most mentioned topics

Although it didn’t generate quite as much news content as the previously mentioned stories, the drought in California and other parts of the US was evident among the most mentioned topics in the Science category.

Most shared on social media

Facebook

  1. Exxon knew of climate change in 1981, email says – but it funded deniers for 27 more years (The Guardian. 144,647 shares)
  2. Earth Day picked as date for science march on Washington (CNN. 81,870 shares)

LinkedIn

  1. Science Says These Five Things Prove You’re Smart (Forbes. 2,857 shares)
  2. NASA Announces Discovery Of 7 Earth-Sized Planets In Nearby Star System (Real Clear Politics. 1,423 shares)

Reddit

  1. China is now the world’s largest solar power producer (Digital Trends. 52,397 points)
  2. ‘Shell knew’: oil giant’s 1991 film warned of climate change danger (The Guardian. 32,414 points)

Law, Government & Politics

For the Law, Government & Politics category we thought we would try something a little different. The chart below shows two separate volume trends. The red volume represents all 163,000+ stories published in this category in February. The yellow volume represents all stories from this category that did not mention Donald Trump. The total: 48,000 stories.

This means that around 70% of all stories in this category mentioned the US President.

Volume of stories published: Law, Government & Politics with/without Trump

Most mentioned topics

Try it yourself – here’s the query we used for category volumes without Trump

With our previous observation in mind, you probably won’t be surprised by the most mentioned topics from the 163,000+ stories published in the Law, Government & Politics category.

Most shared on social media

Facebook

  1. Alabama immigration: crops rot as workers vanish to avoid crackdown (The Guardian. 217,679 shares)
  2. 18 WTF Moments From Trump’s Unhinged Press Conference (Rolling Stone. 113,397 shares)

LinkedIn

  1. It’s official, Narendra Modi is the most followed world leader on Facebook (Quartz. 2,540)
  2. What CEOs say happened in Trump’s closed-door meeting with big pharma (Washington Post. 1,570 shares)

Reddit

  1. US appeals court upholds suspension of Trump travel ban (CNBC. 90,980 points)
  2. Fox News’s ‘Swedish defence advisor’ unknown to country’s military officials (The Guardian. 74,772 points)

Conclusion

We hope that this post has given you an idea of the kind of in-depth and precise analyses that our News API users are performing to source and analyze specific news content that is of interest to them.

Ready to try the News API for yourself? Simply click the image below to sign up for a 14-day free trial.





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Introduction

With our News API, our goal is to make the world’s news content easier to collect, monitor and query, just like a database. We leverage Machine Learning and Natural Language Processing to process, normalize and analyze this content to make it easier for our users to gain access to rich and high quality metadata, and use powerful filtering capabilities that will ultimately help you to find precise and targeted stories with ease.

To this end, we have just launched a cool new feature, Real-time monitoring. Real-time monitoring allows you to further automate your collection and analysis of the world’s news content by creating tailored searches that source and automatically retrieve highly-relevant news stories, as soon as they are published.

real-time monitoring

You can read more about our latest feature – which is now also available in our News API SDKs – below.

Real-time monitoring

With Real-time monitoring enabled you can automatically pull stories as they are published, based on your specific search query. Users who rely on having access to the latest stories as soon as they are published, such as news aggregators and news app developers for example, should find this new feature particularly interesting.

The addition of this powerful new feature will help ensure that your app, webpage or news feed is bang up to date with the latest and most relevant news content, without the need for manual searching and updating.

Newly published stories can be pulled every minute (configurable), and duplicate stories in subsequent searches will be ignored. This ensures you are only getting the most recent publications, rather than a repeat of what has come before.

Usage

We have created code in seven different programming languages to help get you started with Real-time monitoring, each of which can be found below, as well as in our documentation.

NB: Real-time monitoring will only work when you set the sort_by parameter to published_at and sort_direction to desc.

Benefit

The main benefit of this cool new feature is that you can be confident you are receiving the very latest stories and insights, without delay, by creating an automated process that will continue to retrieve relevant content as soon as it is published online. By automating the retrieval of content in real-time, you can cut down on manual input and generate feeds, charts and graphs that will automatically update in real-time.

We hope that you find this new update useful, and we would love to hear any feedback you may have.

To start using our News API for free and query the world’s news content easily, click the image below.

 


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