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Caught in a social media echo chamber? AI can help you out

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Caught in a social media echo chamber? AI can help you out


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. Credit: Binghamton University, State University of New York

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 (AI) technologies, the spread of mass-produced contextually relevant articles and comment-laden 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, State University of New York researchers offers a promising solution: developing an AI system to map out interactions between content and algorithms on to reduce the spread of potentially harmful or misleading content. That content can be amplified through engagement-focused algorithms, the study noted, and enable 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 , 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 .
  • 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 , “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 Ph.D. student in the Thomas J. Watson College of Engineering and Applied Science; and Ashley Kearney from Virginia State University.

More information:
Ashley Kearney et al, Echoes amplified: a study of AI-generated content and digital echo chambers, Disruptive Technologies in Information Sciences IX (2025). DOI: 10.1117/12.3053447

Citation:
Caught in a social media echo chamber? AI can help you out (2025, August 15)
retrieved 15 August 2025
from https://techxplore.com/news/2025-08-caught-social-media-echo-chamber.html

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Asus Made a Split Keyboard for Gamers—and Spared No Expense

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Asus Made a Split Keyboard for Gamers—and Spared No Expense


The wheel on the left side has options to adjust actuation distance, rapid-trigger sensitivity, and RGB brightness. You can also adjust volume and media playback, and turn it into a scroll wheel. The LED matrix below it is designed to display adjustments to actuation distance but feels a bit awkward: Each 0.1 mm of adjustment fills its own bar, and it only uses the bottom nine bars, so the screen will roll over four times when adjusting (the top three bars, with dots next to them, illuminate to show how many times the screen has rolled over during the adjustment). The saving grace of this is that, when adjusting the actuation distance, you can press down any switch to see a visualization of how far you’re pressing it, then tweak the actuation distance to match.

Alongside all of this, the Falcata (and, by extension, the Falchion) now has an aftermarket switch option: TTC Gold magnetic switches. While this is still only two switches, it’s an improvement over the singular switch option of most Hall effect keyboards.

Split Apart

Photograph: Henri Robbins

The internal assembly of this keyboard is straightforward yet interesting. Instead of a standard tray mount, where the PCB and plate bolt directly into the bottom half of the shell, the Falcata is more comparable to a bottom-mount. The PCB screws into the plate from underneath, and the plate is screwed onto the bottom half of the case along the edges. While the difference between the two mounting methods is minimal, it does improve typing experience by eliminating the “dead zones” caused by a post in the middle of the keyboard, along with slightly isolating typing from the case (which creates fewer vibrations when typing).

The top and bottom halves can easily be split apart by removing the screws on the plate (no breakable plastic clips here!), but on the left half, four cables connect the top and bottom halves of the keyboard, all of which need to be disconnected before fully separating the two sections. Once this is done, the internal silicone sound-dampening can easily be removed. The foam dampening, however, was adhered strongly enough that removing it left chunks of foam stuck to the PCB, making it impossible to readhere without using new adhesive. This wasn’t a huge issue, since the foam could simply be placed into the keyboard, but it is still frustrating to see when most manufacturers have figured this out.



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These Sub-$300 Hearing Aids From Lizn Have a Painful Fit

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These Sub-0 Hearing Aids From Lizn Have a Painful Fit


Don’t call them hearing aids. They’re hearpieces, intended as a blurring of the lines between hearing aid and earbuds—or “earpieces” in the parlance of Lizn, a Danish operation.

The company was founded in 2015, and it haltingly developed its launch product through the 2010s, only to scrap it in 2020 when, according to Lizn’s history page, the hearing aid/earbud combo idea didn’t work out. But the company is seemingly nothing if not persistent, and four years later, a new Lizn was born. The revamped Hearpieces finally made it to US shores in the last couple of weeks.

Half Domes

Photograph: Chris Null

Lizn Hearpieces are the company’s only product, and their inspiration from the pro audio world is instantly palpable. Out of the box, these look nothing like any other hearing aids on the market, with a bulbous design that, while self-contained within the ear, is far from unobtrusive—particularly if you opt for the graphite or ruby red color scheme. (I received the relatively innocuous sand-hued devices.)

At 4.58 grams per bud, they’re as heavy as they look; within the in-the-ear space, few other models are more weighty, including the Kingwell Melodia and Apple AirPods Pro 3. The units come with four sets of ear tips in different sizes; the default mediums worked well for me.

The bigger issue isn’t how the tip of the device fits into your ear, though; it’s how the rest of the unit does. Lizn Hearpieces need to be delicately twisted into the ear canal so that one edge of the unit fits snugly behind the tragus, filling the concha. My ears may be tighter than others, but I found this no easy feat, as the device is so large that I really had to work at it to wedge it into place. As you might have guessed, over time, this became rather painful, especially because the unit has no hardware controls. All functions are performed by various combinations of taps on the outside of either of the Hearpieces, and the more I smacked the side of my head, the more uncomfortable things got.



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CEOs are taking the lead on AI initiatives | Computer Weekly

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CEOs are taking the lead on AI initiatives | Computer Weekly


The AI radar 2026 study from Boston Consulting Group (BCG) has reported that artificial intelligence (AI) investment is set to double in 2026 compared with 2025. The study, based on a survey of 2,400 business executives, of which 640 are CEOs, found that almost every chief executive polled (94%) is committed to continuing investments even if returns take time to materialise.

In fact, almost all (90%) of the CEOs polled believe AI agents will deliver a measurable return on investment (ROI) by 2026.

The study found that over two-thirds (72%) of CEOs now act as the primary decision-maker for AI in their organisation, taking responsibility from CIOs, who were previously the main lead in AI projects.

Christoph Schweizer, CEO of BCG, said: “Corporate investment in AI is here to stay. 94% of our survey respondents say they will continue to invest in 2026, even if it takes time to see the return. They intend to spend 1.7% of revenue on AI comprehensively. That is more than twice of what it was a year ago.”

BCG’s research suggests that companies leading the way in AI deployments are investing 60% of their AI budgets on agentic AI (AI agents). “We tell CEOs that they need to make AI a key priority,” he said. “The way they own it, the way they talk about it, the way they bring their organisation along. They need to spend time on deepening their own AI literacy.”

BCG recommends that CEOs understand the tools, the technology, and keep in touch with technology suppliers and partners. “Ultimately, you need to know what you talk about so that you can bring your organisation along and steer for maximum return,” added Schweizer.

With regards to the adoption of agentic AI, BCG found that more than 30% of the CEOs investing in AI during 2026 said they would be building agents to deploy in the work environment. Vladimir Lukic, global leader of BCG’s Technology and Digital Advantage, said: “AI agents will truly be something that will unlock organisations and deliver a return on investment within 2026.”

Sylvain Duranton, head of BCG X, said the research highlights differences in CEOs’ AI confidence in different regions. BCG reported that UK businesses are less likely than global peers to make large-scale investments in AI in 2026.

The study found that only 24% of UK companies plan to invest more than $50m in AI, compared with much higher shares in countries leading the AI race, such as Greater China (68%), Japan (53%), the European Union (38%) and the Middle East (41%). BCG also reported that British CEOs are the most sceptical of AI’s potential return on investment and less involved in decision-making on AI.

Discussing the regional differences, Duranton said: “CEOs in the East, in India, in China, in Japan, the Middle East and Africa tend to be highly confident that AI is going to be a positive return on investment move. In the global West – Europe, the US and the UK – there’s a bit more caution.”

In his experience, many Asian companies have huge confidence and boldness in moving forward with AI. However, many European and US firms operate in a different way. “There’s some more skepticism in their workforce,” said Duranton. “There potentially is some more regulation that they deal with.”

Firms leading the way with AI deployments, which BCG categorise as “trailblazers”, tend to focus heavily on upskilling the workforce. Jessica Apotheker, chief marketing officer and managing director at BCG, said: “Trailblazers are putting 60% of their AI budget behind upskilling and retraining their workforce. So, they’re really wanting to go deep in the organisation, changing the way people work, putting people behind this new technology.”

BCG reported that in these organisations, 70% of the workforce has been upskilled or reskilled on AI.



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