Satire detection is essential for accurately extracting opinions from textual data and combating misinformation online. However, the lack of diverse corpora for satire leads to the problem of stylistic bias which impacts the models' detection performances. This study proposes a debiasing approach for satire detection, focusing on reducing biases in training data by utilizing generative large language models. The approach is evaluated in both cross-domain (irony detection) and cross-lingual (English) settings. Results show that the debiasing method enhances the robustness and generalizability of the models for satire and irony detection tasks in Turkish and English. However, its impact on causal language models, such as Llama-3.1, is limited. Additionally, this work curates and presents the Turkish Satirical News Dataset with detailed human annotations, with case studies on classification, debiasing, and explainability.

Many important datasets contain samples that are missing one or more feature values. Maintaining the interpretability of machine learning models in the presence of such missing data is challenging. Singly or multiply imputing missing values complicates the model's mapping from features to labels. On the other hand, reasoning on indicator variables that represent missingness introduces a potentially large number of additional terms, sacrificing sparsity. We solve these problems with M-GAM, a sparse, generalized, additive modeling approach that incorporates missingness indicators and their interaction terms while maintaining sparsity through l0 regularization. We show that M-GAM provides similar or superior accuracy to prior methods while significantly improving sparsity relative to either imputation or naive inclusion of indicator variables.

People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sensors. In this work we present HERMES, a system designed to enrich the information spontaneously disclosed by OSN users in the aftermath of disasters. HERMES leverages a mixed data collection strategy, called hybrid sensing, and state-of-the-art AI techniques. Evaluated in real-world emergencies, HERMES proved to increase: (i) the amount of the available damage information; (ii) the density (up to 7x) and the variety (up to 18x) of the retrieved geographic information; (iii) the geographic coverage (up to 30%) and granularity.

Traditional data influence estimation methods, like influence function, assume that learning algorithms are permutation-invariant with respect to training data. However, modern training paradigms, especially for foundation models using stochastic algorithms and multi-stage curricula, are sensitive to data ordering, thus violating this assumption. This mismatch renders influence functions inadequate for answering a critical question in machine learning: How can we capture the dependence of data influence on the optimization trajectory during training? To address this gap, we formalize the concept of trajectory-specific leave-one-out (LOO) influence, which quantifies the impact of removing a data point from a specific iteration during training, accounting for the exact sequence of data encountered and the model's optimization trajectory. However, exactly evaluating the trajectory-specific LOO presents a significant computational challenge. To address this, we propose data value embedding, a novel technique enabling efficient approximation of trajectory-specific LOO. Specifically, we compute a training data embedding that encapsulates the cumulative interactions between data and the evolving model parameters. The LOO can then be efficiently approximated through a simple dot-product between the data value embedding and the gradient of the given test data. As data value embedding captures training data ordering, it offers valuable insights into model training dynamics. In particular, we uncover distinct phases of data influence, revealing that data points in the early and late stages of training exert a greater impact on the final model. These insights translate into actionable strategies for managing the computational overhead of data selection by strategically timing the selection process, potentially opening new avenues in data curation research.

Nearly a mile above Vandenberg Space Force Base in Santa Barbara County, a hacked drone soared through restricted airspace for roughly an hour. The lightweight drone photographed sensitive areas of the military facility on Nov. 30, including a complex used by SpaceX, according to federal investigators. The drone then descended back to the ground, where the pilot and another man waited at a nearby park. Four security officers from the military base arrived on the scene and asked the men if they had seen a drone flying through the area, unaware that one of them had tucked the drone under his jacket. Authorities identified that man as 39-year-old Yinpiao Zhou, a Chinese citizen and a lawful permanent resident of the U.S.

Rep. Chris Smith, R-N.J., opens up about the aerial systems spotted in the Garden State on'The Story.' A U.S. Coast Guard official said one of its vessels was trailed by dozens of drones off the coast of New Jersey recently, according to Rep. Chris Smith, R-N.J. Smith, a guest on "The Story with Martha MacCallum" Tuesday, said he spent Monday night on the beach in Ocean County and spoke to several people, including a U.S. Coast Guard commanding officer stationed in Barnegat Light. Smith learned from the Coast Guard commander that the night before, "one of their 47-foot vessels, boats, was trailed very closely by more than a dozen of these drones." "Now, that to me, is very, very, not just suspicious, provocative, and this could be a foreign power, whether it be [Vladimir] Putin, or it could be Xi Jinping in China, or the Middle East, we can't rule any of that out," the congressman said. Photos taken in the Bay Shore section of Toms River of what appear to be large drones hovering in the area at high altitudes in New Jersey on Sunday, Dec. 8, 2024.

At least five people have been killed in Israeli attacks on several towns in southern Lebanon, the country's Health Ministry has said, amid a fragile ceasefire between Israel and Hezbollah. "An Israeli enemy drone strike on the town of Ainata killed one person and wounded another," the ministry said. An "Israeli strike on the town of Bint Jbeil killed three people," while a third "on Beit Lif killed one person", it added. There was no immediate comment from the Israeli military on the attacks. Israel's army escalated its attacks on Lebanon in late September after more than 11 months of cross-border exchanges of fire with the Lebanese armed group Hezbollah, which began firing rockets towards Israel after the Palestinian group Hamas's attack on southern Israel on October 7, 2023.

NASA is about to publish the world's first off-world aircraft accident investigation. Aside from making history, the report will help the agency plan ahead for the next generation of flying vehicles that will help humanity explore Mars. NASA engineers only intended the Mars Perseverance Rover's Ingenuity helicopter to complete a maximum of five experimental test flights over 30 days in 2021. The experimental vehicle, however, proved much more durable than expected. Over nearly three more years, Ingenuity ultimately flew 72 more times, racking up more than two hours of aerial travel and traveling 30 times farther than planned.

State Sen. John Bramnick joins'Fox & Friends' to discuss the upcoming meeting with Gov. Phil Murphy and officials over mysterious drone sightings in their state. Two years ago, a Chinese balloon the size of three school buses hovered 60,000 feet in the air, drifting across the continental U.S. for seven days. It passed over sensitive security areas, including Malmstrom Air Force Base in Great Falls, Montana, that's home to stockpiles of missiles and nuclear defense infrastructure. Only after it was shot down did we learn this "civilian research airship" that President Biden claimed "was not a major security breach" was communicating with China through an American internet service provider and equipped with thousands of pounds of equipment, including a "massive surveillance payload." One would think the President of the United States and our nation's federal law enforcement agencies would have learned a lesson from this blatant security breach.

Rep. Jeff Van Drew, R-N.J., addresses concerns over mystery drones flying over multiple New Jersey counties and details what sources have told him about their origins. The Pentagon has not yet asked U.S. Northern Command to intervene amid reports of mysterious drones witnessed flying over New Jersey, according to a military spokesperson. The large drone sightings have caused concern and confusion as dozens have been reported and officials are at a loss to explain where they come from. Northern Command confirmed some of the drones have been sighted near U.S. military installations. "We are aware and monitoring the reports of unauthorized drone flights in the vicinity of military installations in New Jersey to include Picatinny Arsenal and Naval Weapons Station Earle, and we refer you to those installations for information on any efforts they are may be conducting to ensure the safety and security of their personnel and operations," a U.S. Nothern Command spokesperson told Fox News Digital.