If you were an early settler of the American West, having clean clothes to wear every day was a luxury. Some of the first businesses in Spokane Falls in the 1880s and 1890s were laundries, which drew clean water from the river and stoked fires to boil or steam out dirt and grime. The Cascade Steam Laundry on the north bank of the Spokane River was built in 1890, about the time Samuel H. Friedman journeyed to Spokane from the Midwest. Friedman, in his mid-20s, partnered with P.E.
The Northwest Museum of Arts and Culture used Twitter to tell the story of Spokane’s great fire on the 127th anniversary of the conflagration that razed most of downtown Spokane on Aug. 4, 1889. Using the research of local historians, the tweets rolled out through the afternoon and into the night. The first tweet mentions that Spokane’s water superintendent, Rolla A. Jones, was in Coeur d’Alene doing repairs on his boat. Jones also ran a jewelry store.
In 1968, Glen Yake, who was Spokane’s city engineer from the 1950s to the 1980s, said: “Water is Spokane’s greatest asset.”In an article from that year, Yake is quoted as saying major urban areas that had seen rationing had enough water to pump but inadequate storage reservoirs during low-water periods. Spokane’s water was “excellent in quality, medium in hardness and a 48-degree year-around temperature,” he said.
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".