Continuing complaints about issues related to student housing in the Glendale area of Niagara-on-the-Lake have resulted in the town revisiting the idea of implementing a long-term rental licensing bylaw. Seven years ago, the town sent letters to Niagara-on-the-Green residents regarding the municipal standards for rental properties. The feedback to council was that the major issues were parking, noise, litter, property maintenance and fire code violations.
Niagara-on-the-Lake town council is aiming at shortening its meetings, which have become increasingly longer over the past year and a half. A major change is to hold public meetings on development applications starting at 5 p.m. on a separate evening from council’s Monday committee-of-the-whole meetings. A year ago, the town approved starting council and committee-of-the-whole meetings an hour earlier at 6 p.m. and limiting the number of meetings to two per month.
The main street in Niagara-on-the-Lake’s historic Old Town could one day be for pedestrians only. The idea of turning a few blocks or all of Queen Street into a pedestrian mall, which has been floated around the town for several years, resurfaced at town council Monday night. Coun. Jim Collard made a motion that discussions be held with residents, owners of restaurants and shops along the street, and the chamber of commerce.
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".