Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
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#13 Fake News Detection with Data Science
Fake news: how can data science and deep learning be leveraged to detect it? Come on a journey with Mike Tamir, Head of Data Science at Uber ATG, who is building out a data science product that classifies text as news, editorial, satire, hate speech and fake news, among others. We'll also see what types of unique challenges Mike faced in his work at Takt, using data science to service the needs of Fortune 500 companies such as Starbucks.Links from the show
FROM THE INTERVIEW
- FakerFact(Chrome Extension)
- FakerFact (Firefox Extension)
- FakerFact
- The Unreasonable Effectiveness of Recurrent Neural Networks by Andrei Karpathy
FROM THE SEGMENTS
The Double-edged Sword of Impact Parts I & 2 (with Friederike Schüür, Cloudera Fast Forward Labs)
- Media Manipulation and Disinformation Online from Data & Society
- James Bridle's blog post 'Something is wrong on the internet'
- The Cost of Fairness in Binary Classification (.pdf), a paper by Menon & Williamson (2018)
- Multisided Fairness for Recommendation, a paper by Burke (2017)
- All The Cool Kids, How Do They Fit In? Popularity and Demographic Biases in Recommender Evaluation and Effectiveness, a paper by Ekstrand et al. (2018)
- The spread of true and false news online, a paper by Vosoughi et al. (2018)
Original music and sounds by The Sticks.