Hamas on Friday is admitting to suffering "very painful and distressing" losses following the killing of its leader Yahya Sinwar as the Israeli military has released new drone video capturing the final moments of the terrorist's life. Footage taken of a wounded Sinwar shows him throwing a wooden board at a drone that was surveying damage inside of a building that the Israel Defense Forces targeted in Rafah, according to IDF Spokesperson Rear Adm. Daniel Hagari. Sinwar was later found dead with a gun and nearly 11,000 in his possession, he added. "Yes it's very painful and distressing to lose beloved people, especially extraordinary leaders like ours, but what we are sure of is that we are eventually victorious; this is the outcome for all people who fought for their liberty," senior Hamas official Basem Naim said Friday. "It seems that Israel believes that killing our leaders means the end of our movement and the struggle of the Palestinian people. They can believe what they want, and this is not the first time they said that," he continued.

We propose a method to predict toxicity and other textual attributes through the use of natural language processing (NLP) techniques for two recent events: the Ukraine-Russia and Hamas-Israel conflicts. This article provides a basis for exploration in future conflicts with hopes to mitigate risk through the analysis of social media before and after a conflict begins. Our work compiles several datasets from Twitter and Reddit for both conflicts in a before and after separation with an aim of predicting a future state of social media for avoidance. More specifically, we show that: (1) there is a noticeable difference in social media discussion leading up to and following a conflict and (2) social media discourse on platforms like Twitter and Reddit is useful in identifying future conflicts before they arise. Our results show that through the use of advanced NLP techniques (both supervised and unsupervised) toxicity and other attributes about language before and after a conflict is predictable with a low error of nearly 1.2 percent for both conflicts.

Gen. Jack Keane joins'Fox Report' to discuss the escalating tensions in the Middle East amid fears of a wider war. While much of the world has eyes on Israel's battles with Hezbollah and Hamas, the U.S. Navy has its sights set on another of Iran's proxies, the Yemeni Houthi rebels. With a mission to keep international waterways at peace, the Navy now finds itself fending off attacks from the shadowy gang of pirates who have gone from arming themselves with assault rifles, pickup trucks and motorboats – to a seemingly unending supply of drones, missiles and other weaponry. The Houthis often attack unarmed Western ships carrying goods through the Red Sea and the Gulf of Aden – while the U.S. has responded in kind with drone attacks on Yemen. ISRAELI AIR FORCE STRIKES HOUTHI TARGETS IN YEMEN WITH'EXTENSIVE' OPERATION That's led to perilous waters along a trade route that typically sees some 1 trillion in goods pass through it, as well as shipments of aid to war-torn Sudan and the Yemeni people.

A new report found the British Broadcasting Corporation (BBC) guilty of violating its own editorial guidelines over a thousand times in its coverage of the Israel-Hamas war. According to The Telegraph, the report analyzed four months of BBC output on television, radio, online, podcasts and on social media during the height of the conflict and found a "deeply worrying pattern of bias" against Israel. British lawyer Trevor Asserson and a team of about 20 lawyers and 20 data scientists used artificial intelligence to analyze nine million words from the news outlet, starting the day of the October 7, 2023, terror attack. The researchers allegedly identified 1,553 instances where the BBC violated its own editorial guidelines on impartiality, accuracy, editorial values and public interest. Hundreds attend a protest called by the National Jewish Assembly, The Campaign Against Antisemitsim and the UK Lawyers for Israel at the BBC Broadcasting House on October 16, 2023, in London, England.

Israel killed three Palestinians in a drone strike on Thursday in Tulkarem, a city and refugee camp in the occupied West Bank. That was during an Israeli raid – a near-daily occurrence in the West Bank – on the Tulkarem refugee camp, during which Israeli troops clashed with fighters from the Qassam Brigades, the military wing of Hamas, according to fighters in the city. Here's all you need to know about Israeli raids on Tulkarem: News reports say Israeli soldiers were deployed on rooftops and sent bulldozers into the camp to destroy large residential areas. Israel also reportedly set fire to people's homes and prevented local relief workers from putting the fires out. Experts say Israel's tactics during its raids appear to be part of a broader doctrine to collectively punish the population, ostensibly because pockets of armed resistance are fighting back against Israel's ever-entrenching occupation. Israel claims that it is conducting "counter-terrorism" operations.

The Israeli military has stepped up near-daily raids on Palestinian cities and towns in the West Bank since the Oct. 7 Hamas-led attack on Israel. Israeli forces have also increasingly carried out deadly airstrikes in the territory, a rise in aerial attacks not seen since the second Palestinian uprising against Israeli occupation in the early 2000s. Before Oct. 7, airstrikes and drone attacks on the West Bank were rare and far more limited than in Gaza. But since the war in Gaza began, Israel has stepped up its aerial attacks on Palestinian areas. The two Palestinian territories have long been under separate governments.

In the early morning hours of May 15, the cargo vessel Borkum stopped off the Spanish coast, lingering in the waters a short distance from Cartagena. At the port, protesters waved Palestinian flags and called on authorities to inspect the ship based on suspicions that it carried weapons bound for Israel. Leftist members of the European Parliament sent a letter to Spanish President Pedro Sánchez requesting that the ship be prevented from docking. "Allowing a ship loaded with weapons destined for Israel is to allow the transit of arms to a country currently under investigation for genocide against the Palestinian people," the group of nine MEPs warned. Before the Spanish government could take a stand, the Borkum cancelled its planned stopover and continued to the Slovenian port of Koper.

Socio-linguistic indicators of text, such as emotion or sentiment, are often extracted using neural networks in order to better understand features of social media. One indicator that is often overlooked, however, is the presence of hazards within text. Recent psychological research suggests that statements about hazards are more believable than statements about benefits (a property known as negatively biased credulity), and that political liberals and conservatives differ in how often they share hazards. Here, we develop a new model to detect information concerning hazards, trained on a new collection of annotated X posts, as well as urban legends annotated in previous work. We show that not only does this model perform well (outperforming, e.g., zero-shot human annotator proxies, such as GPT-4) but that the hazard information it extracts is not strongly correlated with other indicators, namely moral outrage, sentiment, emotions, and threat words. (That said, consonant with expectations, hazard information does correlate positively with such emotions as fear, and negatively with emotions like joy.) We then apply this model to three datasets: X posts about COVID-19, X posts about the 2023 Hamas-Israel war, and a new expanded collection of urban legends. From these data, we uncover words associated with hazards unique to each dataset as well as differences in this language between groups of users, such as conservatives and liberals, which informs what these groups perceive as hazards. We further show that information about hazards peaks in frequency after major hazard events, and therefore acts as an automated indicator of such events. Finally, we find that information about hazards is especially prevalent in urban legends, which is consistent with previous work that finds that reports of hazards are more likely to be both believed and transmitted.

The Palestinian Hamas group has expressed support for Iran after it launched hundreds of missiles and drones at Israel in retaliation for a deadly assault on its consulate in the Syrian capital, Damascus. In a statement on Saturday, Hamas, which governs the Palestinian enclave of Gaza, said it affirmed "the natural right" of countries and peoples in the Middle East to defend themselves "in the face of Zionist aggressions". "The military operation carried out by Iran against the Zionist entity is a natural right and a due response to the crime of targeting the consulate in Damascus," it said. The Iranian salvo, fired late on Saturday night, consisted of more than 300 cruise missiles, ballistic missiles and drones, according to the Israeli military. Some 99 percent of the projectiles were intercepted, an Israeli spokesman said, with help from France, the United Kingdom and the United States.

The Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas, according to intelligence sources involved in the war. In addition to talking about their use of the AI system, called Lavender, the intelligence sources claim that Israeli military officials permitted large numbers of Palestinian civilians to be killed, particularly during the early weeks and months of the conflict. Their unusually candid testimony provides a rare glimpse into the first-hand experiences of Israeli intelligence officials who have been using machine-learning systems to help identify targets during the six-month war. Israel's use of powerful AI systems in its war on Hamas has entered uncharted territory for advanced warfare, raising a host of legal and moral questions, and transforming the relationship between military personnel and machines. "This is unparalleled, in my memory," said one intelligence officer who used Lavender, adding that they had more faith in a "statistical mechanism" than a grieving soldier.