Questions in political interviews and hearings serve strategic purposes beyond information gathering including advancing partisan narratives and shaping public perceptions. However, these strategic aspects remain understudied due to the lack of large-scale datasets for studying such discourse. Congressional hearings provide an especially rich and tractable site for studying political questioning: Interactions are structured by formal rules, witnesses are obliged to respond, and members with different political affiliations are guaranteed opportunities to ask questions, enabling comparisons of behaviors across the political spectrum. We develop a pipeline to extract question-answer pairs from unstructured hearing transcripts and construct a novel dataset of committee hearings from the 108th--117th Congress. Our analysis reveals systematic differences in questioning strategies across parties, by showing the party affiliation of questioners can be predicted from their questions alone. Our dataset and methods not only advance the study of congressional politics, but also provide a general framework for analyzing question-answering across interview-like settings.

U.S. congressional hearings significantly influence the national economy and social fabric, impacting individual lives. Despite their importance, there is a lack of comprehensive datasets for analyzing these discourses. To address this, we propose the Congress Committee Hearing Dataset (CoCoHD), covering hearings from 1997 to 2024 across 86 committees, with 32,697 records. This dataset enables researchers to study policy language on critical issues like healthcare, LGBTQ+ rights, and climate justice. We demonstrate its potential with a case study on 1,000 energy-related sentences, analyzing the Energy and Commerce Committee's stance on fossil fuel consumption. By fine-tuning pre-trained language models, we create energy-relevant measures for each hearing. Our market analysis shows that natural language analysis using CoCoHD can predict and highlight trends in the energy sector.

Meta shares soared 12% in after-hours trading following a strong fourth-quarter earnings report released the day after CEO Mark Zuckerberg took a beating in a contentious congressional hearing. The company also announced it will pay a 50 cent-per-share dividend to investors for the first time, and has authorized a 50bn share buyback program. Overall, Meta reported fourth-quarter revenue of 40.1bn, beating the predicted 39.18bn and up 25% year-over-year. The report comes as Meta, like many of its big tech peers, is seeking to integrate artificial intelligence tools into its core products. In a statement accompanying the report, Zuckerberg said Meta has "made a lot of progress on our vision for advancing AI and the metaverse".

NASA has recruited the best of the best to unravel the mysteries of unexplained natural phenomena seen in the skies with the hopes of solving hundreds of sightings. Astronaut Scott Kelly, who is famously known for spending nearly a year in space, is one of 16 team members who will comb through unclassified data of UFOs to help the space agency'craft scientific conclusions' about what is actually occurring. The independent study is set to launch Monday and will carry on for the next nine months - the team is expected to share their findings with the public in mid-2023. The program, announced in June, follows the first US congressional hearings in 50 years that revealed videos showing 144 'unidentified aerial phenomena' seen by military personnel since 2004. The team, which includes scientists, data and artificial intelligence specialists and aerospace safety experts, will identify how data gathered by civilian government entities, commercial data, and data from other sources can potentially be analyzed to shed light on unidentified aerial phenomena (UAP).

In some stores, sophisticated systems are tracking customers in almost every imaginable way, from recognizing their faces to gauging their age, their mood, and virtually gussying them up with makeup. The systems rarely ask for people's permission, and for the most part they don't have to. In our season 1 finale, we look at the explosion of AI and face recognition technologies in retail spaces, and what it means for the future of shopping. This episode was reported and produced by Jennifer Strong, Anthony Green, Tate Ryan-Mosley, Emma Cillekens and Karen Hao. Strong: Retailers have been using face recognition and AI tracking technologies for years. And what if you could know about the presence of violent criminals before they act? With Face First you can stop crime before it starts.] It detects faces, voices, objects and claims it can analyze behavior. But face recognition systems have a well-documented history of misidentifying women and people of color. And they're trying to sell it and impose it on the entirety of the country?] Strong: This is Representative Alexandria Ocasio-Cortez at a 2019 congressional hearing on facial recognition.

A government watchdog has revealed that the FBI has access to about 640 million photographs -- including from driver's licenses, passports and mugshots -- that can be searched using facial recognition technology. The figure reflects how the technology is becoming an increasingly powerful law enforcement tool, but is also stirring fears about the potential for authorities to intrude on the lives of Americans. It was reported by the Government Accountability Office (GOA) at a congressional hearing in which both Democrats and Republicans raised questions about the use of the technology. The FBI maintains a database known as the Interstate Photo System of mugshots that can help federal, state and local law enforcement officials. The images include driver's licenses, passports and mugshots - prompting concerns of pivacy invasion It contains about 36 million photographs, according to Gretta Goodwin of the GAO.

The U.S. Senate and House hearings last week on Facebook's use of data and foreign interference in the U.S. election raised important challenges concerning data privacy, security, ethics, transparency, and responsibility. They also illuminated what could become a vast chasm between traditional privacy and security laws and regulations and rapidly evolving internet-related business models and activities. To help close this gap, technologists need to seriously reevaluate their relationship with government. Here are four ways to start. Help to increase tech literacy in Washington.