With 477 million records breached in 2015 alone, exposure to identity theft and payment card fraud is very much on the mind of many consumers. I’ve been receiving a lot of questions from friends, family, and colleagues over the past few weeks, and I’ve also had to deal with the fallout from criminals getting their hands on my own identity, so it seems like a good time for a blog.
Boston, May 9, 2017 – False declines, which occur when a good transaction by the authorized cardholder is erroneously declined, happen far more often than U.S. issuers and merchants would like and result in lost revenue and unhappy customers. Can technologies reduce false declines? And what is consumers’ propensity to proactively engage with them? This research examines the impact of false declines on consumers’ relationships with their financial institution.
Boston, April 13, 2017 – Machine learning analytics is one of the biggest buzzwords in fraud prevention, but there is a lot of substance behind this particular buzzword. Fraud is moving too fast for legacy approaches, and global financial institutions and merchants need advanced analytics technology to keep up. Machine learning is proving quite effective, but as it’s the marketing slogan du jour, it means many different things to many different people.
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".