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A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

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Machine learning, with advancements in natural language processing and deep learning, has been actively used in studying political bias on social media. But the key challenge to model political bias is the requirement of human effort to label the seed social media posts to train machine learning models. Although very effective, this approach has disadvantages in the time-consuming data labeling process and the cost to label significant data for machine learning models is significantly higher. The web offers invaluable data on political bias starting from biased news media outlets publishing articles on socio-political issues to biased user discussions about several topics in multiple social forums. In this work, we introduce a novel approach to label political bias for social media posts directly from US congressional speeches without any human intervention for downstream machine learning models.


Artificial intelligence: The road to data privacy and ethics

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Artificial intelligence (AI) is increasingly adopted in many industries and our day-to-day lives.


Blackbird.AI grabs $10M to help brands counter disinformation – TechCrunch

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New York-based Blackbird.AI has closed a $10 million Series A as it prepares to launched the next version of its disinformation intelligence platform this fall. The Series A is led by Dorilton Ventures, along with new investors including Generation Ventures, Trousdale Ventures, StartFast Ventures and Richard Clarke, former chief counter-terrorism advisor for the National Security Council. Existing investor NetX also participated. Blackbird says it'll be used to scale up to meet demand in new and existing markets, including by expanding its team and spending more on product dev. The 2017-founded startup sells software as a service targeted at brands and enterprises managing risks related to malicious and manipulative information -- touting the notion of defending the "authenticity" of corporate marketing.



Truth or Fake - How artificial intelligence on Whatsapp can help fight disinformation

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The tagline of Spanish fact-checking outlet Maldita puts readers at the centre of the team's journalistic work: the Spanish phrase "Hazte Maldito" (meaning "Be part of Maldita!") invites the public to send in potentially fake news items and ask questions about the virus. Before the pandemic, Maldita received about 200 messages a day on their WhatsApp number, occupying a full-time journalist. After the pandemic started in March 2020 in Europe, their daily messages increased to nearly 2,000. Maldita has launched a WhatsApp chatbot to automate and centralize their interactions with their community. After a user sends in a social media post to the WhatsApp number - either a photo, a video, a link, or a WhatsApp channel that's been sharing questionable content, the bot analyses the content.


[D] Computer Vision as Inverse Computer Graphics?

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Inverse Computer Graphics aims to solve the problem of computer vision end-to-end by having a model that can take an image (or sequence of images taken from different view points with known relative positioning), and output a 3D mesh of the world that generated these images. Many of the renowned researchers hold up Inverse Computer Graphics as one of the benchmarks for AI. Hinton is definitely the most prominent, and a lot of his recent research (like Capsule Networks) aims to address that. Karpathy got in the game as well, although I am not sure how exactly the research he cites relates to this problem. I personally find this area very interesting since I love both 3D graphics and AI.



NYT under fire for describing Iranian nuclear scientist as 'lover of poetry'

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A recent New York Times piece was slammed on Twitter for what appeared to be a flattering description of an Iranian nuclear scientist. On Saturday, the New York Times published an article on deceased Iranian nuclear scientist Mohsen Fakhrizadeh who was assassinated by Israeli operatives in November 2020. Although Fakhrizadeh was allegedly connected with constructing covert nuclear weapons for Iran, the article along with the NYT Twitter account highlighted the scientist's "domestic pleasures."



Revealed: How Artificial Intelligence Killed Iran's Chief Nuclear Scientist

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Ten months after he was killed by a sniper near Tehran, a recent report by the New York Times has revealed new details of the intelligence operation that …