BBC Machine Learning Fireside Chats Presents: The Battle Against Disinforma...

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BBC Broadcast Centre (Presentation Suite, 3rd Floor)

White City Place

201 Wood Lane

London

W12 7FQ

United Kingdom

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The Battle Against Disinformation

Please join us at our home location of BBC Broadcast Centre, White City Place, for the July edition of our Machine Learning Fireside Chats. Let's gather around the 4K TV fireplace for a bite to eat and a beverage, and tune into a panel discussion of industry practitioners and experts.


"All around the world, fake news is now the poison in the bloodstream of our societies – destabilising democracy and undermining trust in institutions and the rule of law’ - Speech by Tony Hall, Director-General of the BBCM - Lord Speaker Lecture – Wednesday 20th March 2019

Propaganda, deception, suppression of free speech, have all been enduring issues for every society, but in recent years terms like ‘fake news’ and misinformation have been heard in public discourse with alarming regularity.
So, what is happening to make it a live issue for news organisations? Can anything be done to push back against the wave of disinformation? What type of interventions are needed? Can ML help tackle disinformation?"


- Ahmed
Host @ BBC Machine Learning Fireside Chats Team




We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience.

Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm.

Join the conversation and follow us on Twitter: @BBC_MLFireside

Our confirmed guests are:


Rasha Abdul-Rahim, Deputy Director, Amnesty Tech, Amnesty International

Jon Lloyd, Head of European Campaigns (Advocacy), Mozilla

Sam Jeffers, Co-Founder, Who Targets Me?

Who Targets Me? is software to help voters understand how political campaigns are chasing their vote using Facebook advertising. Over 10,000 people have installed Who Targets Me in more than 50 countries and ten languages. The project has tracked political advertising in 10 election campaigns to date, and is currently monitoring the Brazilian and US midterm election campaigns. Who Targets Me has been covered extensively in the media, including the BBC and New York Times. Before founding Who Targets Me in 2017, Sam spent 7 years at Blue State Digital (the agency that helped elect President Obama in 2008 and 2012) as UK Managing Director, then Executive Creative and Strategy Director. He holds a First Class degree in International Relations from LSE and a Master’s in Public Policy from Harvard’s Kennedy School of Government.

Dr David Corney, NLP Engineer, Full Fact

David is a data scientist who spent 15 years in academia, where he used machine learning for biomedical text analytics, visual neuroscience, and finding breaking news stories on Twitter. More recently, he worked for two tech start-ups, helping to develop tools to analyse millions of news articles and web sites every day. This included identifying people and companies; detecting 'fake news' sites; sentiment analysis; and topic recognition. He also co-organised an open challenge to detect hyperpartisan news, which attracted over 40 teams from round the world. Earlier this year, he joined Full Fact to extend their automated fact-checking tools.



Please note you will be asked to show your Eventbrite ticket (either paper or via electronic device will be fine - we just need to scan the QR code) and a form of photo ID at the door. Your bags may also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media.

See you there :)

Date and time

Location

BBC Broadcast Centre (Presentation Suite, 3rd Floor)

White City Place

201 Wood Lane

London

W12 7FQ

United Kingdom

View Map

Organiser BBC ML Fireside Chats

Organiser of BBC Machine Learning Fireside Chats Presents: The Battle Against Disinformation

The purpose of the BBC Machine Learning Fireside Chats is to bring together a community of Tech aficionados with a particular interest in machine learning. We are set up to discuss ongoing work, spread knowledge and be better machine learning practitioners.


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