Education (Colleges & Universities)
Here's a look at documents from public, private and community colleges in the U.S.
Featured Stories
University of Washington: Seaweed-infused Cement Could Cut Concrete's Carbon Footprint
SEATTLE, Washington, July 18 (TNSjou) -- The University of Washington issued the following news release:
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Seaweed-infused cement could cut concrete's carbon footprint
The modern world is built with concrete: Humans use more concrete annually than any other material besides water. Yet cement, the key component of concrete, is the source of as much as 10% of all carbon dioxide emissions worldwide.
To address this problem, researchers at the University of Washington and Microsoft developed a new type of low-carbon concrete by mixing dried, powdered seaweed with cement. The seaweed-fortified
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SEATTLE, Washington, July 18 (TNSjou) -- The University of Washington issued the following news release:
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Seaweed-infused cement could cut concrete's carbon footprint
The modern world is built with concrete: Humans use more concrete annually than any other material besides water. Yet cement, the key component of concrete, is the source of as much as 10% of all carbon dioxide emissions worldwide.
To address this problem, researchers at the University of Washington and Microsoft developed a new type of low-carbon concrete by mixing dried, powdered seaweed with cement. The seaweed-fortifiedcement has a 21% lower global warming potential while retaining its strength. And thanks to an assist from machine learning models, the team arrived at this new formulation in a fraction of the time that such work would ordinarily take.
The team published its findings July 8 in Matter.
"Cement is everywhere -- it's the backbone of modern infrastructure -- but it comes with a huge climate cost," said senior author Eleftheria Roumeli, a UW assistant professor of materials science and engineering. "What makes this work exciting is that we show how an abundant, photosynthetic material like green seaweed can be incorporated into cement to cut emissions, without the need for costly processing or sacrificing performance."
Producing one kilogram of cement emits nearly a kilogram of CO2. Most of those emissions come from the fossil fuels used to heat raw materials and from a chemical reaction called calcination that occurs during the production process. Seaweed, in contrast, is a carbon sink: It pulls carbon out of the air and stores it while it grows. And, remarkably, it can directly replace some of the cement in concrete, giving the result a dramatically smaller carbon footprint.
Arriving at the ideal mixture of ingredients would have taken five years of trial and error, Roumeli estimated, because any concrete sample takes about a month to fully cure before its properties can be evaluated accurately.
To speed up the process, the team built a custom machine learning model and trained it on an initial set of 24 formulations of cement. They then used the model to predict ideal mixtures to test in the lab. By feeding the results of those tests back into the model, they were able to work in tandem with the model and move through formulations rapidly. The outcome was an optimal mixture of seaweed-enhanced cement with a reduced carbon footprint that passed compressive strength tests, discovered in just 28 days.
"Machine learning was integral in helping us dramatically shorten the process -- especially important here, because we're introducing a completely new material into cement," Roumeli said.
From here, the team plans to deepen their understanding of how seaweed composition and structure affects cement performance. The larger goal is to generalize the work out to different kinds of algae (or even to food waste) so that producers can create local, sustainable cement alternatives around the world -- and use machine learning to optimize them rapidly.
"By combining natural materials like algae with modern data tools, we can localize production, reduce emissions, and move faster toward greener infrastructure," Roumeli said. "It's an exciting step toward a new generation of sustainable building materials."
Additional co-authors on this paper are Meng-Yen Lin, a UW doctoral student studying materials science and engineering; Paul Grandgeorge, a former UW postdoctoral researcher in the materials science and engineering department who is now an R&D engineer at the iPrint Institute; and Kristen Severson, a principal researcher at Microsoft Research.
This research was funded by Microsoft Research.
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Original text here: https://www.washington.edu/news/2025/07/17/seaweed-infused-cement-could-cut-concretes-carbon-footprint/
UMGC Launches Undergrad Certificate in Drones and Autonomous System
ADELPHI, Maryland, July 18 -- The University of Maryland Global Campus issued the following news:
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UMGC Launches Undergrad Certificate in Drones and Autonomous System
By Liz Connolly-Bauman
Drones, once best known for their military uses, are now increasingly common tools in areas as diverse as the study of climate change or the delivery of life-saving medications. While the technology advances, University of Maryland Global Campus (UMGC) is keeping up.
UMGC will launch an online undergraduate Certificate in Drones and Autonomous Systems in mid-August. The 18-credit certificate offers
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ADELPHI, Maryland, July 18 -- The University of Maryland Global Campus issued the following news:
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UMGC Launches Undergrad Certificate in Drones and Autonomous System
By Liz Connolly-Bauman
Drones, once best known for their military uses, are now increasingly common tools in areas as diverse as the study of climate change or the delivery of life-saving medications. While the technology advances, University of Maryland Global Campus (UMGC) is keeping up.
UMGC will launch an online undergraduate Certificate in Drones and Autonomous Systems in mid-August. The 18-credit certificate offersa broad overview of Commercial-Off-The-Shelf (COTS) drone systems and autonomous systems technology. The program can be completed in as little as one year, although working professionals can also opt for a more flexible timeframe that accommodates their busy schedules.
"The program starts with four core drone courses. Students can then select two other courses from a specialization in either emergency management, criminal justice, public safety or homeland security," said Justin Baumgartner, collegiate faculty professor of public safety administration at UMGC.
He explained that the four specific courses focus on the fundamentals, applications, regulation, and emerging and future technologies of drones and autonomous systems. Baumgartner, a retired police commander, designed the drone program at his past police department.
In 2016, Baumgartner earned his Small Unmanned Aircraft System (sUAS) pilot license and soon after initiated the testing and evaluation of drone systems within the police department. By 2022, these systems were fully integrated into departmental operations. Initially, drones were deployed to support crime prevention by conducting light surveys in areas with elevated crime rates. Their role quickly expanded to include accident investigation, emergency management and mitigation efforts, and routine police patrol operations. Drone technology provided access to hazardous locations without endangering personnel. Additionally, these systems kept a digital record of incident scenes, capturing critical details as they appeared at the time of response.
"The drone sector is relatively new and technically unfamiliar to many people. This certificate is designed to provide insight into the basic elements of drone systems used in private, public, law enforcement and military professions," said Brian Powers, associate professor and portfolio director for UMGC's Homeland Intelligence and Emergency Management programs. "No previous knowledge of drones, aviation systems, autonomous technologies or flight experience is required. We are offering UMGC students the opportunity to start their drone and autonomous systems journey."
Powers added, "In the last few years, we have been developing the C-DAS to inform UMGC students. The driver for Justin and me has been all the technology, all the changes that were going on--and we've seen it change by the week."
Powers' interest in drones began in 1994 after the Gulf War with the expanding use of military drones in Bosnia, Afghanistan and Iraq. When he retired from the Air Force, he worked as a contractor examining how the Islamic State of Iraq and Syria (ISIS) was developing drones in Iraq. In 2019, Powers and Baumgartner connected during a collaboration on a drone program for edX, the online open-learning platform developed by Harvard University and the Massachusetts Institute of Technology.
They found they had two things in common: They were passionate about drones, and they wanted UMGC students to learn about the technology and their emerging applications.
The drone technology market is booming. According to the Federal Aviation Administration, there are approximately a million drones registered in the United States. For example, drones are used for entertainment purposes at major theme parks and sporting events. They can be programmed to move in a pack and create a spectacular show. Farmers use drones for LIDAR--or Light Detection and Ranging--a remote-sensing tool that helps them measure the growth of crops and terrain. Drones are also used for a growing number of other tasks, including to monitor wildlife, conduct search and rescue missions and map hard-to-access locations.
UMGC's undergraduate certificate, which carries general education credits, is expected to appeal to students in several majors, among them cybersecurity, marketing and business. Many of the skills taught in the program have applications in the commercial, public safety and national security sectors.
In the near future, UMGC will also set-up a partnership with the University of Maryland Eastern Shore's aviation science program. The collaboration will enable students certified in UMGC's Drones and Autonomous Systems program to continue their studies toward the FAA remote pilot's license required to fly drones.
"Our own students might say, 'I never thought about a potential career in this sector at all. Maybe this is something I'd want to do,'" Powers said. "That's the outcome we're looking for."
Visit umgc.edu to explore more about the undergraduate certificate in Drones and Autonomous Systems.
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Original text here: https://www.umgc.edu/news/archives/2025/07/umgc-launches-undergrad-certificate-in-drones-and-autonomous-sys
UC-Santa Cruz: Upasna Sharma Wins McKnight Foundation Neurobiology Award to Study How Paternal Stress Impacts Offspring Health
SANTA CRUZ, California, July 18 -- The University of California Santa Cruz campus issued the following news:
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Upasna Sharma wins McKnight Foundation neurobiology award to study how paternal stress impacts offspring health
Just four research projects nationwide won the 2025 award
By Mike Pena
Upasna Sharma, assistant professor of molecular, cell, and developmental biology, will receive a total of $300,000 over the next three years from the McKnight Endowment Fund for Neuroscience to advance her pioneering research on how a father's life experiences and environment can influence the health
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SANTA CRUZ, California, July 18 -- The University of California Santa Cruz campus issued the following news:
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Upasna Sharma wins McKnight Foundation neurobiology award to study how paternal stress impacts offspring health
Just four research projects nationwide won the 2025 award
By Mike Pena
Upasna Sharma, assistant professor of molecular, cell, and developmental biology, will receive a total of $300,000 over the next three years from the McKnight Endowment Fund for Neuroscience to advance her pioneering research on how a father's life experiences and environment can influence the healthand wellbeing of his future children.
The McKnight Foundation announced today that Sharma's project is just one of four chosen to receive its Neurobiology of Brain Disorders Award, which support innovative research by U.S. scientists who study neurological and psychiatric diseases. The awards also support research like Sharma's, which is revealing the influence of environmental factors on brain function and disorders.
Specifically, Sharma studies how a father's exposure to stress shapes the biology of his children. "Epidemiological studies link paternal stress and adverse life experiences to increased risk of neuropsychiatric disorders in offspring, yet the mechanisms remain poorly understood," Sharma said. "My research aims to address this gap by investigating how chronic stress in male mice alters sperm, and how it programs stress dysregulation in offspring."
Ongoing studies in Sharma's lab revealed that male--but not female--offspring of male mice exposed to chronic stress exhibit blunted stress responses, a trait associated with certain psychiatric disorders. Sharma aims to uncover the molecular signals behind such inheritance, focusing on small RNA molecules in sperm.
The award will support her lab's work to dissect how stress signals are communicated from the brain to sperm, and how these signals influence early development to affect offspring health. Sharma said this research aims to offer new insight into the biological roots of stress-related disease risk.
Founded in 1953 and based in Minneapolis, Minn., the McKnight Foundation awarded a total of $1.2 million across the four winning projects for 2025. The organization has supported neuroscience research since 1977, and states that the awards are intended to encourage collaboration between basic and clinical neuroscience to translate laboratory discoveries about the brain and nervous system into diagnoses and therapies to improve human health.
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Original text here: https://news.ucsc.edu/2025/07/upasna-sharma-wins-mcknight-foundation-neurobiology-award-to-study-how-paternal-stress-impacts-offspring-health/
Two USC Professors Win Inaugural Google Junior Faculty Awards
LOS ANGELES, California, July 18 -- The University of Southern California Viterbi School of Engineering issued the following news:
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Two USC Professors Win Inaugural Google Junior Faculty Awards
Robin Jia and Ibrahim Sabek among 50 assistant professors nationwide to receive $100,000 grants for computing research.
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Two assistant professors from the USC School of Advanced Computing (SAC) have been selected as inaugural recipients of the Google ML and Systems Junior Faculty Awards, joining more than 50 faculty members across 27 U.S. universities to receive the prestigious recognition.
Robin
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LOS ANGELES, California, July 18 -- The University of Southern California Viterbi School of Engineering issued the following news:
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Two USC Professors Win Inaugural Google Junior Faculty Awards
Robin Jia and Ibrahim Sabek among 50 assistant professors nationwide to receive $100,000 grants for computing research.
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Two assistant professors from the USC School of Advanced Computing (SAC) have been selected as inaugural recipients of the Google ML and Systems Junior Faculty Awards, joining more than 50 faculty members across 27 U.S. universities to receive the prestigious recognition.
RobinJia and Ibrahim Sabek, both from the Thomas Lord Department of Computer Science, will each receive $100,000 in unrestricted funding to support their research in machine learning and data-intensive systems. The awards were announced by Google as part of its commitment to supporting academic excellence and fostering breakthrough research at the intersection of artificial intelligence and systems engineering.
The recipients were selected by a distinguished panel of Google engineers and researchers who evaluated proposals focused on the analysis, design and implementation of efficient, scalable, secure and trustworthy computing systems. The research spans the entire technology stack, from algorithms to software and hardware, enabling machine learning and cloud computing at increasingly massive scale.
Jia specializes in natural language processing and machine learning, focusing on developing robust systems that can understand and generate human language. His work addresses fundamental challenges in making AI systems more reliable and trustworthy, particularly in how they process and respond to textual information.
Sabek leads the Next-generation Data-Intensive Systems Group (NEXDIG) at USC, where he concentrates on building advanced data management, processing and analysis systems using machine learning and quantum computing. His research involves deeply understanding fundamental techniques in machine learning, quantum computing and systems design to create more efficient and powerful data processing capabilities.
"This is a challenging time to be conducting critical academic research given uncertainties in the funding environment," said a Google spokesperson in announcing the awards. "While Google's funding is only a small part of the overall need, we hope that others across industry, government and philanthropy will find ways to support research and education to keep this crucial driver of our technology ecosystem vibrant."
The Google ML and Systems Junior Faculty Awards represent a new initiative from the tech giant to support early-career faculty members whose work is essential to scientific breakthroughs that contribute to continued progress and prosperity. The program adds to Google's existing academic support efforts, including fellowship programs, conference sponsorships, internships and research collaborations.
Sabek previously received recognition for his work through the Google Data Analytics and Insights Award in 2024, highlighting his continued contributions to advancing data systems research.
The unrestricted nature of the grants allows recipients to pursue their research directions without predetermined constraints, enabling them to explore innovative approaches and mentor the next generation of graduate students. Many of these students will eventually become faculty members themselves, start new companies or join established technology firms.
Google's investment in academic research reflects the company's origins as a project started by two graduate students conducting fundamental research in artificial intelligence and computer science. The company continues to recognize that university-based research is crucial for developing the technological advances that will shape the future.
SAC, a unit of the USC Viterbi School of Engineering, was launched in 2024. It serves as the primary engine for President Carol Folt's $1 billion+ Frontiers of Computing, the largest, most comprehensive academic initiative in USC's history -- encompassing computing across USC. The awards underscore SAC's growing reputation as a center for cutting-edge research in machine learning and computing systems, with faculty members making significant contributions to fields that are increasingly important for technological innovation and economic growth.
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Original text here: https://viterbischool.usc.edu/news/2025/07/two-usc-professors-win-inaugural-google-junior-faculty-awards/
NMSU Global Campus Offers Discounted Tuition for New York Life New Mexico Employees
LAS CRUCES, New Mexico, July 18 -- New Mexico State University issued the following news release:
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NMSU Global Campus offers discounted tuition for New York Life New Mexico employees
Employees with New York Life New Mexico can now access fully accredited undergraduate and graduate programs that support professional growth in the financial services sector - and also save on tuition costs - through a new partnership with New Mexico State University Global Campus.
New York Life New Mexico is now a partner in NMSU Global Campus' Global Partnership Program, a strategic initiative focused on
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LAS CRUCES, New Mexico, July 18 -- New Mexico State University issued the following news release:
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NMSU Global Campus offers discounted tuition for New York Life New Mexico employees
Employees with New York Life New Mexico can now access fully accredited undergraduate and graduate programs that support professional growth in the financial services sector - and also save on tuition costs - through a new partnership with New Mexico State University Global Campus.
New York Life New Mexico is now a partner in NMSU Global Campus' Global Partnership Program, a strategic initiative focused onexpanding workforce development through accessible, high-quality education. This partnership offers New York Life New Mexico employees exclusive access to preferred tuition discounts and dedicated academic support from the NMSU Global Campus team.
"We understand that continued learning is a powerful driver of both individual and organizational success," said Andrew Sedillo, executive director of strategic initiatives and partnerships at NMSU Global Campus. "This partnership with New York Life New Mexico is especially exciting because it aligns our business programs with their commitment to developing skilled, knowledgeable financial professionals ready to lead in a competitive market."
As part of the agreement, New York Life will incorporate NMSU Global Campus programs into its employee development and benefits strategy to support career mobility and retention. NMSU Global Campus will provide personalized admissions advising, academic planning and graduation support tailored to the needs of New York Life employees.
Both organizations will work together to promote business-focused educational pathways that align with workforce development goals. The collaboration reflects New York Life's investment in the ongoing development of its team and reinforces the mission of NMSU Global Campus to deliver workforce-relevant education that supports both personal and professional success.
New York Life Insurance Company is one of the largest mutual life insurance companies in the United States. The New Mexico office is dedicated to helping individuals, families and businesses build better financial futures. The partnership underscores New York Life's investment in employee growth, retention and long-term success.
For more information about NMSU Global Campus, visit https://global.nmsu.edu/.
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Original text here: https://newsroom.nmsu.edu/news/nmsu-global-campus-offers-discounted-tuition-for-new-york-life-new-mexico-employees/s/9f353350-719c-4fb5-86e8-ca0b720a3ede
Binghamton University: How Well Does ChatGPT Diagnose Your Medical Symptoms? Research Puts It to the Test
BINGHAMTON, New York, July 18 (TNSjou) -- Binghamton University issued the following news:
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How well does ChatGPT diagnose your medical symptoms? New research puts it to the test
The popular large language model performs better than expected but still has some knowledge gaps -- and hallucinations
By Chris Kocher
When people worry that they're getting sick, they are increasingly turning to generative artificial intelligence like ChatGPT for a diagnosis. But how accurate are the answers that AI gives out?
Research recently published in the journal iScience puts ChatGPT and its large language
... Show Full Article
BINGHAMTON, New York, July 18 (TNSjou) -- Binghamton University issued the following news:
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How well does ChatGPT diagnose your medical symptoms? New research puts it to the test
The popular large language model performs better than expected but still has some knowledge gaps -- and hallucinations
By Chris Kocher
When people worry that they're getting sick, they are increasingly turning to generative artificial intelligence like ChatGPT for a diagnosis. But how accurate are the answers that AI gives out?
Research recently published in the journal iScience puts ChatGPT and its large languagemodels to the test, with a few surprising conclusions.
Ahmed Abdeen Hamed -- a research fellow for the Thomas J. Watson College of Engineering and Applied Science's School of Systems Science and Industrial Engineering at Binghamton University -- led the study, with collaborators from AGH University of Krakow, Poland; Howard University; and the University of Vermont.
As part of George J. Klir Professor of Systems Science Luis M. Rocha's Complex Adaptive Systems and Computational Intelligence Lab, Hamed developed a machine-learning algorithm last year that he calls xFakeSci. It can detect up to 94% of bogus scientific papers -- nearly twice as successfully as more common data-mining techniques. He sees this new research as the next step to verify the biomedical generative capabilities of large language models.
"People talk to ChatGPT all the time these days, and they say: 'I have these symptoms. Do I have cancer? Do I have cardiac arrest? Should I be getting treatment?'" Hamed said. "It can be a very dangerous business, so we wanted to see what would happen if we asked these questions, what sort of answers we got and how these answers could be verified from the biomedical literature."
The researchers tested ChatGPT for disease terms and three types of associations: drug names, genetics and symptoms. The AI showed high accuracy in identifying disease terms (88-97%), drug names (90-91%) and genetic information (88-98%). Hamed admitted he thought it would be "at most 25% accuracy."
"The exciting result was ChatGPT said cancer is a disease, hypertension is a disease, fever is a symptom, Remdesivir is a drug and BRCA is a gene related to breast cancer," he said. "Incredible, absolutely incredible!"
Symptom identification, however, scored lower (49-61%), and the reason may be how the large language models are trained. Doctors and researchers use biomedical ontologies to define and organize terms and relationships for consistent data representation and knowledge-sharing, but users enter more informal descriptions.
"ChatGPT uses more of a friendly and social language, because it's supposed to be communicating with average people. In medical literature, people use proper names," Hamed said. "The LLM is apparently trying to simplify the definition of these symptoms, because there is a lot of traffic asking such questions, so it started to minimize the formalities of medical language to appeal to those users."
One puzzling result stood out. The National Institutes of Health maintains a database called GenBank, which gives an accession number to every identified DNA sequence. It's usually a combination of letters and numbers. For example, the designation for the Breast Cancer 1 gene (BRCA1) is NM_007294.4.
When asked for these numbers as part of the genetic information testing, ChatGPT just made them up -- a phenomenon known as "hallucinating." Hamed sees this as a major failing amid so many other positive results.
"Maybe there is an opportunity here that we can start introducing these biomedical ontologies to the LLMs to provide much higher accuracy, get rid of all the hallucinations and make these tools into something amazing," he said.
Hamed's interest in LLMs began in 2023, when he discovered ChatGPT and heard about the issues regarding fact-checking. His goal is to expose the flaws so data scientists can adjust the models as needed and make them better.
"If I am analyzing knowledge, I want to make sure that I remove anything that may seem fishy before I build my theories and make something that is not accurate," he said.
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Original text here: https://www.binghamton.edu/news/story/5679/how-well-does-chatgpt-diagnose-your-medical-symptoms-new-research-puts-it-to-the-test
Binghamton University: Caught in a Social Media Echo Chamber? AI Can Help You Out, Study Shows
BINGHAMTON, New York, July 18 -- Binghamton University issued the following news:
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Caught in a social media echo chamber? AI can help you out, new study shows
Binghamton University researchers outline plan to reduce the spread of harmful or misleading content, promote information diversity
By Anthony Borrelli
Falling for clickbait is easy these days, especially for those who mainly get their news through social media. Have you ever noticed your feed littered with articles that look alike?
Thanks to artificial intelligence (AI) technologies, the spread of mass-produced contextually relevant
... Show Full Article
BINGHAMTON, New York, July 18 -- Binghamton University issued the following news:
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Caught in a social media echo chamber? AI can help you out, new study shows
Binghamton University researchers outline plan to reduce the spread of harmful or misleading content, promote information diversity
By Anthony Borrelli
Falling for clickbait is easy these days, especially for those who mainly get their news through social media. Have you ever noticed your feed littered with articles that look alike?
Thanks to artificial intelligence (AI) technologies, the spread of mass-produced contextually relevantarticles and comment-laden social media posts has become so commonplace that it can appear as though it's coming from different information sources. The resulting "echo chamber" effect could reinforce a person's existing perspectives, regardless of whether that information is accurate.
A new study involving Binghamton University researchers offers a promising solution: developing an AI system to map out interactions between content and algorithms on digital platforms to reduce the spread of potentially harmful or misleading content. That content can be amplified through engagement-focused algorithms, the study noted, and enable conspiracy theories to spread, especially if the content is emotionally charged or polarizing.
Researchers believe their proposed AI framework would counter this by allowing users and social media platform operators -- Meta or X, for example -- to pinpoint sources of potential misinformation and remove them if necessary. More importantly, it would make it easier for their platforms to promote diverse information sources to audiences.
"The online/social media environment provides ideal conditions for that echo chamber effect to be triggered because of how quickly we share information," said study co-author Thi Tran, assistant professor of management information systems at the Binghamton University School of Management. "People create AI, and just as people can be good or bad, the same applies to AI. Because of that, if you see something online, whether it is something generated by humans or AI, you need to question whether it's correct or credible."
Researchers noted that digital platforms facilitate echo chamber dynamics by optimizing content delivery based on engagement metrics and behavioral patterns. Close interactions with like-minded people on social media can amplify a person's biased cherry-picking tendency when choosing information messages to react to, leading to diverse perspectives being filtered out.
The study tested this theory by randomly surveying 50 college students, each reacting to five misinformation claims about the COVID-19 vaccine:
* Vaccines are used to implant barcodes in the population.
* COVID-19 variants are becoming less lethal.
* COVID-19 vaccines pose greater risks to children than the virus itself.
* Natural remedies and alternative medicines can replace COVID-19 vaccines.
* The COVID-19 vaccine was developed as a tool for global population control.
Here is how the survey's participants responded:
* 90% stated they would still get the COVID-19 vaccine after hearing the misinformation claims.
* 70% indicated they would share the information on social media, more so with friends or family than with strangers.
* 60% identified the claims as false information.
* 70% expressed a need to conduct more research to verify the falsehood.
According to the study, these responses highlighted a critical aspect of the dynamics of misinformation: many people could recognize false claims but also felt compelled to seek more evidence before dismissing them outright.
"We all want information transparency, but the more you are exposed to certain information, the more you're going to believe it's true, even if it's inaccurate," Tran said. "With this research, instead of asking a fact-checker to verify each piece of content, we can use the same generative AI that the 'bad guys' are using to spread misinformation on a larger scale to reinforce the type of content people can rely on."
The research paper, "Echoes Amplified: A Study of AI-Generated Content and Digital Echo Chambers," was presented at a conference organized by the Society of Photo-Optical Instrumentation Engineers (SPIE). It was also authored by Binghamton's Seden Akcinaroglu, a professor of political science; Nihal Poredi, a PhD student in the Thomas J. Watson College of Engineering and Applied Science; and Ashley Kearney from Virginia State University.
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Original text here: https://www.binghamton.edu/news/story/5680/clickbait-social-media-echo-chamber-misinformation-new-research-binghamton
