The US Secret Service wants someone to build a sarcasm detector for Twitter

A spokeperson for the agency said 'The ability to detect sarcasm and false positives is just one of 16 or 18 things we are looking at'

James Vincent
Thursday 05 June 2014 08:26 EDT
Comments

Your support helps us to tell the story

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.

At such a critical moment in US history, we need reporters on the ground. Your donation allows us to keep sending journalists to speak to both sides of the story.

The Independent is trusted by Americans across the entire political spectrum. And unlike many other quality news outlets, we choose not to lock Americans out of our reporting and analysis with paywalls. We believe quality journalism should be available to everyone, paid for by those who can afford it.

Your support makes all the difference.

The US Secret Service is looking for a way to detect sarcasm on Twitter, posting a tender notice online to find coders capable of creating the software.

The agency said they were looking for a program with the “ability to detect sarcasm and false positives” along with “sentiment analysis” and “influencer identification”. They also requested “access to historical Twitter data”.

Ed Donovan, a spokesperson for the Secret Service, told Sky: “Our objective is to automate our social media monitoring process. The ability to detect sarcasm and false positives is just one of 16 or 18 things we are looking at.”

The contract offered by the agency covers a five-year period, with the tender noting that the program must also be compatible with Internet Explorer 8 – a piece of software released back in 2006 and for which free upgrades are available.

Despite the obvious benefits of government agents being able to sort credible threats from the merely facetious, recognizing sarcasm – or most nuanced moods – has so far proved difficult for computers.

A study from 2011 conducted by the University of New Jersey collected tweets with the hashtags ‘sarcasm’ or ‘sarcastic’ and then removed these markers, mixing the messages in with others that displayed “positive or negative attitudes without sarcasm”.

The researchers found that at best, software programs could only sort the sarcastic from the sincere around 65 per cent of the time, although human volunteers didn’t do much better, achieving accuracies of between 62 and 72 per cent with the same material.

It seems that without the many contextual clues of what you know about an individual’s personality or can be gleamed from face to face interactions both humans and machines will have to struggle with sarcasm online. Which is great.

Join our commenting forum

Join thought-provoking conversations, follow other Independent readers and see their replies

Comments

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in