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WavePulse: Real-time Content Analytics of Radio Livestreams

Mittal, Govind, Gupta, Sarthak, Wagle, Shruti, Chopra, Chirag, DeMattee, Anthony J, Memon, Nasir, Ahamad, Mustaque, Hegde, Chinmay

arXiv.org Artificial Intelligence

Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed over the Internet. We present WavePulse, a framework that records, documents, and analyzes radio content in real-time. While our framework is generally applicable, we showcase the efficacy of WavePulse in a collaborative project with a team of political scientists focusing on the 2024 Presidential Elections. We use WavePulse to monitor livestreams of 396 news radio stations over a period of three months, processing close to 500,000 hours of audio streams. These streams were converted into time-stamped, diarized transcripts and analyzed to track answer key political science questions at both the national and state levels. Our analysis revealed how local issues interacted with national trends, providing insights into information flow. Our results demonstrate WavePulse's efficacy in capturing and analyzing content from radio livestreams sourced from the Web. Code and dataset can be accessed at \url{https://wave-pulse.io}.


Fox News Politics: Open Up the Gaetz

FOX News

Welcome to the Fox News Politics newsletter, with the latest updates on the Trump transition, exclusive interviews and more Fox News politics content. The House Ethics Committee has decided to release its report on former Rep. Matt Gaetz, R-Fla. Lawmakers on the secretive panel voted to make the report public after the final votes of this year – which are slated for Thursday. The House Ethics Committee's multi-year investigation into Gaetz, involving allegations of sex with a minor and illicit drug use, came to an abrupt halt last month after he resigned from Congress hours after President-elect Trump tapped him to be his attorney general…Read more Matt Gaetz (R-FL) (R) and Andy Ogles (R-TN) listen as former U.S. President Donald Trump speaks to the media during his trial for allegedly covering up hush money payments at Manhattan Criminal Court on May 16, 2024 in New York City. Trump was charged with 34 counts of falsifying business records last year, which prosecutors say was an effort to hide a potential sex scandal, both before and after the 2016 presidential election.


Toward an Insider Threat Education Platform: A Theoretical Literature Review

Gelman, Haywood, Hastings, John D., Kenley, David, Loiacono, Eleanor

arXiv.org Artificial Intelligence

Insider threats (InTs) within organizations are small in number but have a disproportionate ability to damage systems, information, and infrastructure. Existing InT research studies the problem from psychological, technical, and educational perspectives. Proposed theories include research on psychological indicators, machine learning, user behavioral log analysis, and educational methods to teach employees recognition and mitigation techniques. Because InTs are a human problem, training methods that address InT detection from a behavioral perspective are critical. While numerous technological and psychological theories exist on detection, prevention, and mitigation, few training methods prioritize psychological indicators. This literature review studied peer-reviewed, InT research organized by subtopic and extracted critical theories from psychological, technical, and educational disciplines. In doing so, this is the first study to comprehensively organize research across all three approaches in a manner which properly informs the development of an InT education platform.


Microsoft's AI Recall Tool Is Still Sucking Up Credit Card and Social Security Numbers

WIRED

On Monday, police arrested 26-year-old Luigi Mangione and charged him in the murder of UnitedHealthcare CEO Brian Thompson. Mangione's five-day run from authorities ended after he was spotted eating at a McDonald's in Altoona, Pennsylvania, about 300 miles from Manhattan, where Thompson was gunned down on the morning of December 4. Authorities say they found Mangione carrying fake IDs and a 3D-printed "ghost gun," the model of which is known as the FMDA, or "Free Men Don't Ask." Meanwhile, a flood of mysterious drone sightings across New Jersey and neighboring states caused so much havoc, it quickly gained federal attention. While many people wondered why the US military couldn't just shoot down the drones, the FBI, Department of Homeland Security, and independent experts say the drone mystery may not be much of a mystery, and the drones are probably mostly just airplanes. As for more terrestrial threats, we dove into the far-right realm of "Active Clubs," small groups of young, fitness-focused men who are steeped in extremist ideology and linked to several violent attacks. While the man who helped invent the Active Club network, Robert Rundo, was sentenced in federal court this week, Active Clubs around the world are proliferating.


Luigi Mangione went 'radio silent,' was reported missing in San Francisco. Then CEO was killed

Los Angeles Times

Luigi Mangione, the man suspected of killing the chief executive of UnitedHealthcare, underwent surgery and was reported missing in San Francisco before the shooting. Brian Thompson, 50, CEO of the healthcare insurance giant, was gunned down last week in Midtown Manhattan, spawning a five-day manhunt that eventually led to Mangione's arrest at a McDonald's restaurant in Altoona, Pa. Questions about Mangione's alleged motives and background have swirled in the media since his arrest Monday. As prosecutors worked to bring him to New York to face charges, new details emerged about his life and his capture. The 26-year-old Ivy League graduate from a prominent Maryland real estate family was charged with murder hours after his arrest.


Large Language Models Still Face Challenges in Multi-Hop Reasoning with External Knowledge

Zhang, Haotong

arXiv.org Artificial Intelligence

We carry out a series of experiments to test large language models' multi-hop reasoning ability from three aspects: selecting and combining external knowledge, dealing with non-sequential reasoning tasks and generalising to data samples with larger numbers of hops. We test the GPT-3.5 model on four reasoning benchmarks with Chain-of-Thought prompting (and its variations). Our results reveal that despite the amazing performance achieved by large language models on various reasoning tasks, models still suffer from severe drawbacks which shows a large gap with humans.


Pennsylvania man accused of having sexual relationship with teen he met on Tinder: reports

FOX News

During an address Thursday, President Joe Biden claimed he taught "political theory" at the University of Pennsylvania. An Altoona, Pennsylvania man has been arrested after allegedly having a sexual relationship with a teenage girl he met on the popular dating app, Tinder, according to reports. An NBC station out of Johnstown-Altoona, Pennsylvania reported that state police spoke with the 14-year-old girl on Sept. 19. During the conversation, the girl reportedly told police she met Steven Ellis, 32, on Tinder after creating a profile that made her appear older. In court documents, police said they learned the teenager and Ellis sent each other explicit messages and photos.


Building a Knowledge Graph of Distributed Ledger Technologies

König, Lukas, Neumaier, Sebastian

arXiv.org Artificial Intelligence

Distributed ledger systems have become more prominent and successful in recent years, with a focus on blockchains and cryptocurrency. This has led to various misunderstandings about both the technology itself and its capabilities, as in many cases blockchain and cryptocurrency is used synonymously and other applications are often overlooked. Therefore, as a whole, the view of distributed ledger technology beyond blockchains and cryptocurrencies is very limited. Existing vocabularies and ontologies often focus on single aspects of the technology, or in some cases even just on one product. This potentially leads to other types of distributed ledgers and their possible use cases being neglected. In this paper, we present a knowledge graph and an ontology for distributed ledger technologies, which includes security considerations to model aspects such as threats and vulnerabilities, application domains, as well as relevant standards and regulations. Such a knowledge graph improves the overall understanding of distributed ledgers, reveals their strengths, and supports the work of security personnel, i.e. analysts and system architects. We discuss potential uses and follow semantic web best practices to evaluate and publish the ontology and knowledge graph.


Artificial intelligence tech can help patient backlog

#artificialintelligence

Hospitals and private practices are seeing an increase in patients. They said that, however, is not a bad thing. Patients are returning for diagnostic procedures, surgeries, and health screenings that were postponed due to the COVID-19 pandemic. "During the early part of the pandemic, our patients volume really decreased dramatically," said Adam Trybus, chief radiologist at 611 MRI in Altoona. "Patients were postponing routine care. They were only coming in for emergencies."