Editor’s note: Co-author George Madison served as general counsel of the U.S. Treasury Department from 2009-2012. Co-author Michael Borden was senior counsel to the House Financial Services Committee from 2007 to 2012. The great debate over the shape of post-crisis financial regulation is in full swing, with the House of Representatives, federal financial regulators, and the Trump administration all having staked out their positions on reforming the financial services industry.
When I moved to London for graduate school back in the early 1980s, the city felt as if it existed for just about every purpose other than for people to make money in it. Everyone was either on the dole or on strike, or about to be—and not just working-class people. No one appeared, or wanted to appear, all that interested in what they did for a living, except for the taxi drivers, who were better than those in the US.
For two decades, the security of federal information systems has been a mainstay on the Government Accountability Office's biennial governmentwide risk evaluation report -- the High-Risk List. As more and more information is moved to the cloud and corresponding attack vectors open for cybercriminals, the majority of agency security concerns have understandably revolved around the prevention and detection of threats, both internal and external.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".