Secret Service Seeks Social Signals: Inside The RFP

Social media analytics RFP seeks to sort serious from sarcastic threats against government officials.

David F Carr, Editor, InformationWeek Government/Healthcare

June 6, 2014

4 Min Read
(Image: Flickr, <a href="" target="_blank">Ian McKellar</a>)

The Secret Service wants to get smarter about social media, so it's soliciting proposals from the many social media monitoring and analytics companies that help organizations understand what's being said about them. In the case of the Secret Service, the agency also might like to know about any violent or threatening comments addressed to President Obama and others under its protection.

A request for proposals popped up this week on Reports from Nextgov, The Washington Post, and other publications all highlighted one particular requirement on the list -- that the system be able to detect sarcasm. (Okay, I have to say it: yeah, right.)

A Secret Service media spokesperson made a point of emphasizing to the Post that sarcasm detection was just one of many requirements on the agency's list (see the longer list below). What the RFP actually asks for is the "ability to detect sarcasm and false positives," an aspect of the text analytics subdiscipline of sentiment analysis, which as a whole is still very much a work in progress.

Sentiment analysis is an important component of social media monitoring because national brands (including those of politicians and government agencies) generate too large a volume of tweets, posts, and comments on news stories for each one to be studied individually. Analytic software can help by sorting through thousands of posts to identify positive or negative keywords and phrases. Lacking life experience, however, computer algorithms often miss the subtleties.

Depending on context, the phrase "Yeah, great service," could be either praise or a stinging indictment. Sentiment analysis tools will sometimes get the context wrong, judging a negative comment as a positive. Whoever evaluates responses to this RFP will have to seek out the best of the bunch rather than a perfect performance.

[Want to see an early "prototype" of the Secret Service's sarcasm detector? See Geekend: Sarcasm Detector Wanted.]

Why is this important to the Secret Service?

"The Service also wants to be able to have an automatic way to determine if social media users are potentially violent or if they are just joking with their posts," concluded one report on the conservative news and opinion blog "It is unclear just how much Congress knows of this new Secret Service contract."

I think that's jumping to conclusions, beyond what's spelled out in the RFP. I jumped to the very same conclusion, although I wouldn't put the sinister shading on it that this might be something for Congress to look into. Seems to me the Secret Service ought to have as much insight into the swirl of social media sentiments as Proctor & Gamble or any other firm doing social media market research. P&G doesn't have to worry about assassins or wannabe assassins, just competition from Unilever. People say very nasty things about the President and other top officials every day on blogs, news sites, and social media. Most of it is just talk, and some of it is sarcastic, but I'd like to think someone is watching out for patterns of more serious, threatening talk and planning.

On the other hand, if that was the monitoring program's primary purpose, the requisition might have come out of the Secret Service's National Threat Assessment Center. Instead, the solicitation is coming from the Office of Government and Public Affairs.

Just as likely, the goal is to monitor and protect the health of the Secret Service's own brand. For example, they might want to watch for reports of Secret Service agents caught drunk or consorting with prostitutes -- and hope that they're not real.

The RFP states that the agency wants the chosen tool to automate the monitoring process, handle large sets of social media data, identify statistical patterns, visualize complex data for clear, concise presentation, and be usable by multiple staff members.

Specific requirements:

  • Real time stream analysis

  • Customizable, keyword search features

  • Sentiment analysis

  • Trend analysis

  • Audience segmentation

  • Geographic segmentation

  • Qualitative data-visualization representations (heat maps, charts, graphs, etc.)

  • Multiple-user access

  • Functionality to have read-only users

  • Access to historical twitter data

  • Influencer identification

  • Standard Web browser access with login credentials

  • User-level permissions

  • Compatibility with Internet Explorer 8

  • Section 508 compliant

  • Ability to detect sarcasm and false positives

  • Functionality to send notifications to users

  • Functionality to analyze data over a given period of time

  • Ability to quantify the agency's social media outreach/footprint

  • Vendor-provided training and technical/customer support

  • Ability to create custom reports without involving IT specialists

  • Ability to search online content in multiple languages

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About the Author(s)

David F Carr

Editor, InformationWeek Government/Healthcare

David F. Carr oversees InformationWeek's coverage of government and healthcare IT. He previously led coverage of social business and education technologies and continues to contribute in those areas. He is the editor of Social Collaboration for Dummies (Wiley, Oct. 2013) and was the social business track chair for UBM's E2 conference in 2012 and 2013. He is a frequent speaker and panel moderator at industry events. David is a former Technology Editor of Baseline Magazine and Internet World magazine and has freelanced for publications including CIO Magazine, CIO Insight, and Defense Systems. He has also worked as a web consultant and is the author of several WordPress plugins, including Facebook Tab Manager and RSVPMaker. David works from a home office in Coral Springs, Florida. Contact him at [email protected]and follow him at @davidfcarr.

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