'Dinosaur Highway' Tracks Dating Back 166 Million Years are Discovered in England

In this undated photo provided by the University of Birmingham on Thursday, Jan. 2, 2025, work underway as five extensive trackways that formed part of a "dinosaur highway" are uncovered, at Dewars Farm Quarry in Oxfordshire, England. (University of Birmingham via AP)
In this undated photo provided by the University of Birmingham on Thursday, Jan. 2, 2025, work underway as five extensive trackways that formed part of a "dinosaur highway" are uncovered, at Dewars Farm Quarry in Oxfordshire, England. (University of Birmingham via AP)
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'Dinosaur Highway' Tracks Dating Back 166 Million Years are Discovered in England

In this undated photo provided by the University of Birmingham on Thursday, Jan. 2, 2025, work underway as five extensive trackways that formed part of a "dinosaur highway" are uncovered, at Dewars Farm Quarry in Oxfordshire, England. (University of Birmingham via AP)
In this undated photo provided by the University of Birmingham on Thursday, Jan. 2, 2025, work underway as five extensive trackways that formed part of a "dinosaur highway" are uncovered, at Dewars Farm Quarry in Oxfordshire, England. (University of Birmingham via AP)

A worker digging up clay in a southern England limestone quarry noticed unusual bumps that led to the discovery of a “dinosaur highway” and nearly 200 tracks that date back 166 million years, researchers said Thursday.

The extraordinary find made after a team of more than 100 people excavated the Dewars Farm Quarry, in Oxfordshire, in June expands upon previous paleontology work in the area and offers greater insights into the Middle Jurassic period, researchers at the universities of Oxford and Birmingham said.

“These footprints offer an extraordinary window into the lives of dinosaurs, revealing details about their movements, interactions, and the tropical environment they inhabited,” said Kirsty Edgar, a micropaleontology professor at the University of Birmingham, The AP reported.

Four of the sets of tracks that make up the so-called highway show paths taken by gigantic, long-necked, herbivores called sauropods, thought to be Cetiosaurus, a dinosaur that grew to nearly 60 feet (18 meters) in length. A fifth set belonged to the Megalosaurus, a ferocious 9-meter predator that left a distinctive triple-claw print and was the first dinosaur to be scientifically named two centuries ago.

An area where the tracks cross raises questions about possible interactions between the carnivores and herbivores.

“Scientists have known about and been studying Megalosaurus for longer than any other dinosaur on Earth, and yet these recent discoveries prove there is still new evidence of these animals out there, waiting to be found," said Emma Nicholls, a vertebrate paleontologist at the Oxford University Museum of Natural History.

Nearly 30 years ago, 40 sets of footprints discovered in a limestone quarry in the area were considered one of the world's most scientifically important dinosaur track sites. But that area is mostly inaccessible now and there's limited photographic evidence because it predated the use of digital cameras and drones to record the findings.

The group that worked at the site this summer took more than 20,000 digital images and used drones to create 3-D models of the prints. The trove of documentation will aid future studies and could shed light on the size of the dinosaurs, how they walked and the speed at which they moved.

“The preservation is so detailed that we can see how the mud was deformed as the dinosaur’s feet squelched in and out," said Duncan Murdock, an earth scientist at the Oxford museum. "Along with other fossils like burrows, shells and plants we can bring to life the muddy lagoon environment the dinosaurs walked through.”

The findings will be shown at a new exhibit at the museum and also broadcast on the BBC's “Digging for Britain” program next week.



Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.