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Pamela Duncan on Muck Rack

Pamela Duncan

London, United Kingdom
As seen in: MSN, MSN Australia, MSN Canada, MSN UK, The Guardian, Wiley Online Library, Yahoo Canada, Yahoo News UK, Yahoo Finance Canada, Yahoo Finance Singapore and
Journalism lecturer + data trainer + external examiner. Former data projects editor @guardian. Spreadsheet addict. Python for the big stuff.
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Articles

Most X accounts posting about Belfast and Southampton unrest were based outside UK

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By Carmen Aguilar García Verified, Michael Goodier Verified, Pamela Duncan, Dan Sabbagh Verified
| MSN Australia Verified
Carmen Aguilar García, Michael Goodier, Pamela Duncan and Dan Sabbagh More than half the accounts that posted on Elon Musk's X about the rioting in Belfast and the civil disorder in Southampton in June were based outside the UK, an analysis by the Guardian can reveal. Of the 8,672 accounts whose combined posts about the events exceeded 1,000 views, just 45.3% were shown as from the UK, according to the social media platform's own location function.
Open in Who Shared View Duplicates (11) Issue with article?

‘Financial pandemic’: £1 in every £11 spent on UK public contractors goes to private equity

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By Michael Goodier Verified, Jessica Murray, Pamela Duncan, Yassin El-Moudden, Isaaq Tomkins Verified, Krystina Shveda Verified, Zeke Hunter-Green, Tom Richards
| EIN News
One pound in every £11 of UK government spending on contractors went to private equity-controlled companies last year, research shows, including key services such as transport, waste management and healthcare. Politicians and economists have raised concerns over the “financial fragility and sharp cost cutting” created by private equity-backed firms, which often have high levels of debt, and the “conflicting interests” in running public services for maximum profit.
Open in Who Shared View Duplicates (12) Issue with article?
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By Anna Vissens, Alice Thornewill von Essen, Tom Ravalde, Pamela Duncan
| Yahoo Canada Verified
The Guardian has revealed a significant rightward shift toward sentiment relating to immigration among MPs speaking in the House of Commons in the past five years. To do this analysis the Guardian’s Data Science and Data Projects teams, in collaboration with University College London, developed an in-house machine learning model to measure linguistic sentiment in debates in the Commons over the course of a century.
Open in Who Shared View Duplicates (5) Issue with article?
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