Why is the clearance rate in U.S. cities so low? Watch any TV police drama and chances are, the episode follows the same script. After several riveting twists and turns, the clever detectives, using the latest computers, equipment, and intelligence, track down the bad guy. Crimes are committed, crimes are solved, arrests are made. In police parlance, this is called the “clearance rate,” or the rate at which a given type of crime ends in an arrest within a year. And we’re bad at it.
In his book Glass House: The 1% Economy and the Shattering of the All-American Town, Brian Alexander chronicles the rise and fall of his hometown of Lancaster, Ohio. The factory town was the headquarters of the glassware company Anchor Hocking, once the world’s largest glassware manufacturer. But the firm was acquired by the first of a series of out-of-town corporations in 1987, and the Lancaster’s fortunes swiftly declined with it.
Most cities today are operating under an assumption, which may turn out to be mistaken, that the data they collect and publish—all paid for by taxpayers—should always be available at no cost, including to business. This assumption is part of the “open data” movement. This movement begins with noble intentions. Taxpayers have a right to transparency and to access digital assets they fund. It promotes accountability, clean government and better internal performance management.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".