Media reporter for Digiday covering publisher's transition from analog to digital. Started professional life as a professor of communications at two NJ schools; then moved to the world of PR, where I worked for a few agencies representing start ups and Fortune 100 clients before starting my own a...
Social Media's Slow Slog Into the Ivory Towers of Academia
At a time before blogs, Twitter and Facebook, Jane Pratt was honing skills that are now keys in social media: transparency and authenticity. As the founding editor of Sassy in 1988, she brought risque topics to the forefront (often with a dose of distinctive sexual candor). Then, after Sassy’s demise, Pratt set out to reinvent women’s publishing with Jane, which brought an irreverent tone to the field. Last May, she set out to do it all over again, only this time on the Web.
The three main legs of the media stool — brand, agency, publisher — have a hard time being honest with each other. In media, it’s a feature, not a bug. We all agree to the obfuscation; we turn it into a standard. It doesn’t have to be that way. This is an experiment to see if we can have true dialogue between these various parties of the media ecosystem. Imagine if ad ops and sales teams talked; or brand managers and custom content studios; you get the drift.
The woes of the newspaper world in digital media are well known: a decimated subscription base, lower ad revenue and declining relevance. Newspapers are continuing the long process of change, but the road is bumpy. Digiday spoke with a recently departed newspaper ad executive about the inefficiencies of newspaper ad operations and why a top-down culture often gets in the way of matching actions with words. Why are newspapers slow to embrace digital change?
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".