Subscribe and review on iTunes, Audioboom, Mixcloud, Acast or on your favourite podcasting app and join the discussion on Facebook and TwitterThe common thread of this mini-series has been rich and powerful people, companies, and governments harvesting our information, and using opaque algorithms to make decisions about us, predict our behaviour, and micro-target us with adverts. Only one question remains: how can we fight back?
Subscribe and review on iTunes, Audioboom, Mixcloud, Acast or on your favourite podcasting app and join the discussion on Facebook and TwitterIs the internet broken? Has the utopian 1990s net been replaced by digital feudalism, where a few powerful entities wield control over all of us digital serfs? In this series, Jordan Erica Webber looks at internet-enabled dystopia, and how even the technology designed to do good can end up causing harm.
Joining James Richardson in the pod, it's a special birthday podcast appearance for Barry Glendenning, who is joined by Rob Smyth and Philippe Auclair, while being serenaded from Spain by Sid Lowe. First up: the pod crew pay their dues to the super Swans, and ask: are Manchester City losing it (like this fan)? There's also a discussion about what has gone wrong at Tottenham and whether it has anything to do with Harry Redknapp becoming England manager-ele … ah.
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".