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Amid "Likes" and "Shares," Facebook Jeopardizes Children's Health and Safety featured image

Amid "Likes" and "Shares," Facebook Jeopardizes Children's Health and Safety

On February 4, 2004, a 19-year-old Mark Zuckerberg launched “TheFacebook.” Developed in his Harvard University residence hall, it began as a networking service for his roughly 7,000 classmates. Today, it is the most popular social media platform in existence, boasting over three billion monthly active users worldwide. Through two decades of “likes” and “shares,” Facebook has transformed how people connect, interact and think. Driving everything from dinner parties and concert outings to political campaigns and protest movements, it has frequently been celebrated for its ability to convey information, mobilize groups and galvanize change. However, it has also been criticized for its questionable content management choices, its suspect data collection practices and, perhaps most notably, its role in feeding an ever-growing mental health crisis among children and adolescents—a charge Zuckerberg refutes. Elizabeth Burgess Dowdell, PhD, RN, FAAN, is a professor in Villanova University’s M. Louise Fitzpatrick College of Nursing and an expert on the health and safety risks posed by social media. From her perspective, Facebook and platforms like it have undoubtedly played a part in heightening levels of emotional distress and physical harm among youths. “Statistically, it’s well-established in the literature that mental health issues and concerning behaviors among children have escalated tremendously,” said Dr. Dowdell. “They’re becoming sadder, more depressed and lonelier, even though they’re very connected.” To Dr. Dowdell’s point, mental health disorders began rising precipitously among young people in the years following Facebook’s launch. Per the Centers for Disease Control and Prevention (CDC), the percentage of children aged 6 to 17 years “ever having been diagnosed with either anxiety or depression” increased from 5.4% in 2003 to 8% in 2007 and 8.4% in 2011-2012. And just last year, in the era of Instagram and TikTok, Mental Health America found that 11.5% of children in the United States were struggling with severe depression, with 16% of youths aged 12 to 17 years having experienced a major depressive episode in the past 12 months. A contributing factor, according to Dr. Dowdell, is the way social media construes reality. Flooded with images, posts and videos that show hyper-idealized, rose-colored representations of life, impressionable young users can be made to feel isolated, inept or dissatisfied with their appearance. “I think adults understand that a ‘perfect’ picture is often preceded by a dozen other photos,” she said. “Kids don’t always see it like that. They focus on what makes them happy and what makes them sad—and what makes them feel sad about themselves.” Tragically, throughout the social media age, this sadness has been tied to increasing rates of suicide, self-harm and risky behavior among youths. A 2023 CDC study found that the suicide rate for children aged 10 to 14 years tripled from 2007 to 2018 (from 0.9 deaths per 100,000 to 2.9), and in 2021-2022, the National Center for Missing and Exploited Children noted a 35% year-over-year increase in reports of suspected child sexual exploitation. Amid these frightening statistics, Dr. Dowdell emphasizes the importance of caring, compassionate adults’ involvement in young people’s lives. She notes these individuals’ presence can not only shield youths from potentially hazardous situations but give them the tools to cope with traumatic episodes and feelings of despair. “The critical factor that helps children become resilient is having a support system—having family members, parents or trusted adults with whom they can talk,” Dr. Dowdell shared. “They might go down the rabbit hole, but they have someone to pull them out, someone to help them.” For adults concerned about their loved ones’ social media use, Dr. Dowdell stresses that empathy and understanding are key. In turn, she advocates for an approach that reflects the supposed purpose of Facebook and platforms like it: active conversation. “It all comes back to communication,” she said. “Parents and guardians need to role-model responsible behaviors. They need to talk about these things: ‘What did you look at today?’ ‘What was good?’ ‘What was bad?’ ‘What did you think?’ ‘How did you feel about that?’ “It’s much like, when children are little, reading them books. When we read to children, we engage them… Why not read the social media feeds, look at the Facebook posts or go through Instagram? These forms of engagement, the conversations we have, let them know they can come and talk.”

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3 min. read
AI and Shopping featured image

AI and Shopping

The internet has completely changed how we shop and now artificial intelligence (AI) is changing how we decide what to purchase. AI platforms have created tools to help people find the perfect gift for someone special. The technology helps brands to better learn about their customer and suggests products that fit to that customer. Goizueta Professor David Schweidel can walk you through the different platforms and how they can help shoppers find the perfect gift. Entering some key details about the gift recipient can uncover a whole new world of ideas for that hard to shop for person on the gift list. David A. Schweidel is Professor of Marketing at Emory University’s Goizueta Business School and an acclaimed author. He is available to speak with media regarding the latest advances in AI and how it is changing what we purchase.  Simply click on his icon now to arrange an interview today.

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1 min. read
Expert Insight: Fake News, Fake Reviews: Building Trust with Online Shoppers
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Expert Insight: Fake News, Fake Reviews: Building Trust with Online Shoppers

Online customer reviews have become a critically important cog in the sales conversion process in recent years. Studies show that 97 percent of consumers read product reviews and ratings, and that positive reviews can almost triple the likelihood of making a purchase. As customers do more and more of their shopping online, they are turning in droves to the likes of Yelp, TripAdvisor, and Google Reviews to seek out opinions, recommendations, and feedback from other users before pushing through the final part of the sales funnel. As a result, these third-party review sites have experienced exponential growth. But there’s a caveat: and it’s trust. The success of Yelp and its competitors is wholly contingent on how trustworthy their users perceive them to be; on the transparency and authenticity of the content published and the sources of that content. In an era of disinformation with fake reviews and AI mass-generated content precipitously on the rise, securing—and keeping—user trust is paramount. The Five Keys to Fighting Fakery Goizueta Business School’s Sandy Jap has some suggestions. Together with colleagues Ben Beck of Brigham Young University’s Marriott School of Business and Stefan Wuyts of Penn State’s Smeal College of Business, Jap, who is the Sarah Beth Brown Professor of Marketing, put together a series of studies to test the kinds of measures and mechanisms that platforms can deploy to win user confidence. And it turns out there’s one tactic that works more effectively than any other: actively monitoring the authenticity of user reviews. That and being open and transparent about doing so. Jap and her colleagues scoured the latest research and data on marketing, governance, and identity disclosure to pinpoint the mechanisms that best mitigate online fakery, while simultaneously building trust among platform users. They identified five. “We worked through the literature and were able to whittle these down to five core practices that are robustly effective at building trust,” says Jap. “They are monitoring, exposure, community building, status endowment and identity disclosure. Doing these five things can signal to your users that you are committed to being a guardian of their trust, so to speak.” Monitoring or evaluating reviews for their authenticity and exposing firms that pay for and propagate fake content are mechanisms directed at the rogue firms that spread fakery and misinformation, explains Jap. Meanwhile community building and status endowment focus on reviewers. Community building is about enabling authentic, transparent interactions between consumers and reviewers. An example of this might be allowing consumers to ask questions and reviewers to respond directly. “Status endowment is where a platform verifies and acknowledges the credibility or helpfulness of a reviewer in some way. Yelp and others use things like badges or reviewer ratings which are earned over time and which make it hard for fake reviewers to game their systems,” says Jap. Identity disclosure is the practice of having reviewers provide personal information—their name, picture, or location, for instance—before they can post content. And while this approach can keep fabrication and false profiles in check, it also raises certain tradeoffs, says Jap. “Anonymity online has long been understood as something of an un-inhibitor—a factor that enables users to speak more freely and openly. It can be democratizing in the sense that it removes or lessens prejudice and bias around things like race, social class, or physical appearance,” she says. “Of course, having people share personal data on your platform can also open up a can of worms around privacy and identity theft which are major considerations; so there’s a balancing act needed with this.” To test the efficacy of all five trust building policies, including identity disclosure, Jap and her colleagues ran a series of experiments and studies. They invited volunteers to rate how the presence or absence of these mechanisms impacted the trustworthiness of a platform. One study saw them parse things like domain authority and traffic across 25 online review sites against how many (or few) of the five mechanisms each deployed. Elsewhere, the team used surveys to assess how users ranked the different mechanisms in terms of platform trust, above and beyond other factors such as the quantity of reviews published say, or the expertise of different reviewers. The Bottom Line: Bust Bogus Reviews After crunching the data, Jap and her co-authors found that while all five trust-building mechanisms were valued and important to platform users, the practice of monitoring for fake reviews and reviewers—and broadcasting the fact clearly—was by far the most effective. “Doing all of these five things—monitoring, exposing, community building, status endowment and ID disclosure—are important if you want to earn and keep the trust of your users,” says Jap. “We found that the more of these mechanisms that platforms incorporate, the better their domain authority, Alexa site ranking, backlinks, and organic site traffic.” Based on our findings, monitoring your content and communicating that you’re doing this is by far the most powerful cue that you are trustworthy. So that’s where we’d say platforms might want to focus their spend. Many of the biggest review platforms have already taken note of these insights. Yelp recently shared a post to its official blog welcoming the finding that of the 25 sites analyzed in Jap’s study, theirs is one of two platforms that actively implement all five mechanisms. “After examining 25 review platforms, the study found that Yelp is one of two platforms that applies all five mechanisms and as the research states, has become a guardian of trust for review information.” Meanwhile, Jap stresses that these findings should be relevant to any business that is focused on “combating online review fakery.” “All businesses today face the challenge of managing their word-of-mouth reputation. Any firm interested in sharing and leveraging points of view around its products or services, be it a small online retail store or an Amazon, is going to want to go the distance—and be seen to do so—in going to war on fakery and disinformation.” Are you a journalist interested in learning more about the importance and trustworthiness of online reviews? Sandy Jap is available to speak with media - simply click on her icon now to arrange an interview today.

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5 min. read
Announcing The NEW ExpertFile featured image

Announcing The NEW ExpertFile

Promoting your expertise just got easier with a host of new platform features. Well the world’s best platform for Expertise Marketing just got even better! We’ve just released the latest release of ExpertFile and it’s huge. Our newly designed, mobile-ready platform provides the most intuitive, collaborative solution for creating, managing, and showcasing your experts and insights. Whether you are managing content directly on your website or promoting it through one of our powerful distribution channels like our expertfile.com search engine used by leading media outlets, you will find a lot of great new features packed into this release. With a host of new and enhanced features, streamlined workflows and more advanced analytics we’ve made showcasing your expertise, capturing valuable inquiries, and tracking your results easier than ever. You will see some exciting improvements that enable you to create highly customizable, searchable directories and media-rich profiles and content features to sharing valuable expert insights with detailed Posts and Q&A. Built for marketing and communications professionals and compatible with your current systems we continue to take the burden out of managing your expert content, and eliminate the need for ongoing, costly or time-consuming IT projects. The following highlights some of the great new features and functionality that can be found across the platform. We hope you take a moment to explore the new ExpertFile.  And please let us know what you think!   Cheers, Robert ------------ Robert Carter Co-Founder & VP Product | ExpertFile A Quick Tour of What's New with the ExpertFile Platform Home Screen Experience the power of the ExpertFile Platform from the moment you log in. The *NEW* Home Screen is your gateway to a wealth of essential information related to your account, key analytics, recent activities and more. With intuitive menus and a new universal search bar for easy discovery, the Home tab is your jumping off point for effortlessly exploring all your expert content and quickly connecting with valuable inquiries. Our refined layout features clear tab structures, quick action buttons and links making it a breeze to create and manage your experts and their insights, whether creating detailed media-rich profiles, insightful posts, Q&A or other featured content. Plus, gain valuable insights and optimize your expertise marketing strategy with convenient access to resource links and tools to grow your online presence both on your website, through Google or by one of our powerful distribution channels. New Home Screen features include: Quick action buttons to access all frequent activities Universal search capabilities for all your expert content User/license overview Analytics summary Recent content & login activity People Tab Manage your experts and your team through the People tab. Quickly add users and create captivating mobile-ready profiles that showcase their knowledge and thought-provoking content. Effortlessly update experts profiles using our user-friendly inline editor or take advantage of bulk actions to make changes across your entire team. Easily create and assign your experts to categories and tags enhancing discovery and building of custom directories and featured content. Transition profiles seamlessly from drafts to public visibility, or establish private password-protected viewing for exclusive restricted access directories and targeted profile outreach. Build the perfect support network. Manage your experts, their content, and inquiries with ease, while collaborating with diverse teams. With unlimited admins and agent users, we allow for more efficient management and better visibility across your entire roster of experts or within specific groups of experts. Easily add users from a diverse range of departments such as marketing communications, digital, research, analyst relations, and more to help maintain fresh and engaging expert content and ensure you never miss valuable inquiries. Assign agents to make edits or handle inquiries on an expert or multiple experts behalf. Extend your reach with access to leading tools for leveraging your experts, including easy export functionality and variety of integrations options for your website and with external platforms. New People Tab features include: New user setup enhancements Streamlined profile status options Advanced filtering capabilities People specific activity log Post Tab The Post tab is the starting point for sharing your organization’s insights on current news, trending topics and more by creating shareable Posts that connect back to your experts. Interactive and mobile-ready, Posts let you quickly deliver expert, SEO friendly content to your audiences on any device at any time. Quick links allow you to create drafts including using our new AI Brainstorming feature to help generate ideas and initial drafts. For more interaction with your expert Posts streamline content discovery and expand your content distribution capabilities by tagging your Posts. Whether you choose to publish immediately or schedule for future release, you have the flexibility to align your content with breaking news, important announcements, cyclical trends or your marketing calendar. Finally increase the power of Posts by assigning individual experts to each post to better connect your insights to your experts, driving more profiles views and valuable inquiries. New Post Tab features include: Quick create button with AI brainstorming Advanced filtering capabilities Bulk action management options Connected “experts” visibility Enhanced tag management Post specific activity log Q&A Tab The Q&A tab makes leveraging the power of Q&A easy. Deliver insights through expert curated Q&A, either with a single question and answer from an expert or organization, or allow for multiple experts to provide a variety of answers. By connecting your answer to your experts, you’ll drive profile views and capture valuable inquiries. Streamline content discovery and expand your content distribution capabilities by tagging your Q&A. New Q&A Tab features include: Quick create button Advanced filtering capabilities Bulk action management options Connected “experts” visibility Enhanced tag management Q&A specific activity log Analytics Tab Track your performance with the customizable features of the new Analytics Tab. Access current metrics across all important areas from your people to Posts, Q&A and inquiries. Define your view by type and time period. Quickly export your monthly PDF reports or create custom exports to allow for detailed reporting that matches your organization’s reporting cycles. Easily export all your metrics to create additional reports in other systems you currently use. New Analytics Tab features Include Content-type specific reporting Date range filtering Customizable graphing capabilities Enhanced data exports Downloadable monthly reports Bulk actions & Filtering Inquiries Tab The Inquiries tab provides access to all the capabilities you need for viewing, managing and responding to your opportunities. The layout lets you quickly understand the nature of your incoming inquiries whether they’re related to media, speaking, research, customer/business requests and more. Quickly view key details of all incoming inquiries including time-sensitive requests that require immediate follow-up. Activate only the type of inquiries you’re looking to receive through our inquiry type setup. At the same time keep unwanted messages away from your experts with our AI Quarantine function that monitors all your incoming inquiries and proactively blocks messages that can be reviewed later. Ensure total visibility with our mailing list functionality that enables inquiries to be seen by type beyond the specific setup for each expert. New Inquiry Tab features include: Enhanced AI Quarantine protection Organization wide blocking Network level blocking Enhanced inquiry filtering Inquiry specific activity log Settings The new Settings section provides easier more intuitive access to a wide variety of account customizations and system settings to tailor your implementation.  This includes access to integration options from Custom API to Embeds and our WordPress plugin. New Settings Section features Include Enhanced brand management capabilities Improved asset uploader Refined layout New “Customer Success” resources

5 min. read
Finding Truth among the Tweets.  Our expert weighs in on the role social media has during war. featured image

Finding Truth among the Tweets. Our expert weighs in on the role social media has during war.

With the Israel-Hamas war raging on, social media provides a source of information for many individuals to stay up to date. Across platforms there are reliable sources but there are also those with an agenda to spread false truth, blatant lies and sew doubt with doses of 'mis' and disinformation. It's a topic Goizueta Business School professor David Schweidel is watching closely. "We are seeing once again the need for the regulation of social media platforms," says Schweidel. " Platforms have a financial incentive to serve up the most provocative and arousing content and content moderation is often at odds with financial goals." Social media is being flooded with content, much of it misinformation, and social platforms are unwilling or unable to effectively moderate what’s being posted. "Beyond the likely reduction in revenue, implementing content moderation at scale is expensive and difficult. If viewed from a short-term financial perspective, allowing for a free for all is less costly and will result in more user engagement, which drives revenue," Schweidel adds. And it is not as if legislators and lawmakers are not aware. As of today, social media platforms aren’t liable for the content posted on them (under the FCC’s Section 230). Two recent lawsuits sought to challenge section 230, but the Supreme Court declined to take such action. These challenges were based on platforms actively promoting content through their algorithms, thereby going beyond simply being intermediaries providing access to content posted online by others. Some, such as the ACLU, view this as allowing for free speech online. There's a lot more to know, such as: The challenges in identifying real vs. fake content Which platforms are being effective in moderating content How US and EU laws vary in terms of regulating misinformation on social media platforms And that's where we can help. David A. Schweidel is Professor of Marketing at Emory University’s Goizueta Business School. He's a renowned marketing analytics expert focused on the opportunities at the intersection of marketing and technology. David is available to speak with media regarding this important topic, simply click on his icon now to arrange an interview today.

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2 min. read
The power of streaks: How apps like Snapchat and Wordle keep users hooked featured image

The power of streaks: How apps like Snapchat and Wordle keep users hooked

There's a reason why kids and adults alike become hooked on apps like Snapchat and Wordle: The irresistible pull of the streak. There's also a reason why so many apps are successful in hooking users: According to recent research co-authored by Jackie Silverman, assistant professor of marketing at the University of Delaware, the streak is as important as the app or activity itself. In her collection of studies, "On or Off Track: How (Broken) Streaks Affect Consumer Decisions," published in April in the Journal of Consumer Research, Silverman found that: Companies now can track consumers' behaviors on their platforms, and in turn tell consumers about their past behaviors. I study how one apparent pattern shown through such tracking - a streak, or 3+ consecutive behaviors - affects consumer decisions. Highlighting streaks can create a new source of motivation; people are more likely to continue a behavior when they are told they have a streak, versus not. On the flip side, highlighted broken streaks are especially demotivating and decrease engagement in the behavior. These effects occur because consumers have a goal of keeping their streaks (as highlighted on these platforms) alive. To help mitigate the negative effects of broken streaks, companies can de-emphasize broken streaks or allow for consumers to do an action to repair their streaks. To quickly arrange an interview to speak with Silverman, simply click on the "contact" button on her profile.

1 min. read
Revolutionizing Access to Education in Times of War: How One Professor's Website is Empowering Ukrainian Families and Refugees featured image

Revolutionizing Access to Education in Times of War: How One Professor's Website is Empowering Ukrainian Families and Refugees

Among the casualties of the Ukraine war are the 2 million-plus children who have been forced to flee their homes, which has upended what should be a joyous time filled with laughing and learning. In an effort to restore some sense of normalcy to their education years, University of Delaware professor Roberta Michnick Golinkoff has developed a website with free interactive e-books, games and other resources to Ukrainian children.  Golinkoff—a nationally known expert in childhood literacy—worked together with developers to stock the site, Stories with Clever Hedgehog, with materials in both Ukrainian and English. The multilingual platforms allows displaced families all over the world to engage in shared reading with their children, facilitate early literacy development and promote well-being during a time of stress.  Golinkoff, who has appeared in numerous national outlets including NPR, ABC News and The Conversation, is available for interviews. Just click the "View Profile" button to get in touch. 

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1 min. read
Optical research illuminates a possible future for computing technology featured image

Optical research illuminates a possible future for computing technology

Nathaniel Kinsey, Ph.D., Engineering Foundation Professor in the Department of Electrical and Computer Engineering (ECE), is leading a group to bring new relevance to a decades-old computing concept called a perceptron. Emulating biological neuron functions of the messenger cells within the body’s central nervous system, perceptrons are an algorithmic model for classifying binary input. When combined within a neural network, perceptrons become a powerful component for machine learning. However, instead of using traditional digital processing, Kinsey seeks to create this system using light with funding from the Air Force Office of Scientific Research. This “nonlinear optical perceptron” is an ambitious undertaking that blends advanced optics, machine learning and nanotechnology. “If you put a black sheet outside on a sunny day, it heats up, causing properties such as its refractive index to change,” Kinsey said. “That’s because the object is absorbing various wavelengths of light. Now, if you design a material that is orders of magnitude more complex than a sheet of black plastic, we can use this change in refractive index to modify the reflection or transmission of individual colors – controlling the flow of light with light.” Refractive index is an expression of a material’s ability to bend light. Researchers can harness those refractive qualities to create a switch similar to the binary 1-0 base of digital silicon chip computing. Kinsey and collaborators from the U.S. National Institute of Standards and Technology, including his former VCU Ph.D. student Dhruv Fomra, are currently working to design a new kind of optically sensitive material. Their goal is to engineer and produce a device combining a unique nonlinear material, called epsilon-near-zero, and a nanostructured surface to offer improved control over transmission and reflection of light. Kinsey’s prior research has demonstrated that epsilon-near-zero materials combine unique features that allow their refractive index to be modified quite radically – from 0.3 to 1.3 under optical illumination – which is roughly equivalent to the difference between a reflective metal and transparent water. While an effective binary switch, the large change in index requires a lot of energy (~1 milli-Joules per square centimeter). By combining epsilon-near-zero with a specifically designed nanostructure exhibiting surface lattice resonance, Kinsey hopes to achieve a reduction in the required energy to activate the response. The unique response of a nanostructure exhibiting surface lattice resonance allows light to effectively be bent 90 degrees, arriving perpendicular to the surface while being split into two waves that travel along the surface. When a large area of the nanostructure is illuminated, the waves traveling along the surface mix, where they interfere constructively or destructively with each other. This interference can produce strong modification to reflection and transmission that is very sensitive to the geometry of the nanostructure, the wavelength of the incident light and the refractive index of the surrounding materials. The mixing of optical signals along the surface can also selectively switch regions of the epsilon-near-zero material thereby performing processing operations. A key aspect of Kinsey’s work is to build nonlinear components, like diodes and transistors, that use optical signals instead of electrical ones. Transistors and other traditional electronic components are nonlinear by default because electrical charges strongly interact with each other (for example, two electrons will tend to repel each other). Creating optical nonlinear components is challenging because photons do not strongly interact, they just pass through each other. To correct for this, Kinsey employs materials whose properties change in response to incident light, but the interaction is weak and thus requires large energies to utilize. Kinsey’s device aims to reduce that energy requirement while simultaneously shaping light to perform useful operations through the use of the nanostructured surface and lightwave interference. The United States Department of Defense sees optical computing as the next step in military imaging. Kinsey’s work, while challenging, has potential to yield an enormous payoff. “Let’s say you want to find a tank within an image,” Kinsey said, “Using a camera to capture the scene, translate that image into an electrical signal and run it through a traditional, silicon-circuit-based computer processor takes a lot of processing power. Especially when you try to detect, transfer, and process higher pixel resolutions. With the nonlinear optical perceptron, we’re trying to discover if we can perform the same kinds of operations purely in the optical domain without having to translate anything into electrical signals.” Linear optical systems, like metasurfaces and photonic integrated circuits, can already process information using only a fraction of the power of traditional tools. Building nonlinear optical systems would expand the functionality of these existing linear systems, making them ideal for remote sensing platforms on drones and satellites. Initially, the resolution would not be as sharp as traditional cameras, but optical processing built into the device would translate an image into a notification of tanks, troops on the move, for example. Kinsey suggests optical-computing surveillance would make an ideal early warning system to supplement traditional technology. “Elimination or minimization of electronics has been a kind of engineering holy grail for a number of years,” Kinsey said, “For situations where information naturally exists in the form of light, why not have an optical-in and optical-out system without electronics in the middle?” Linear optical computing uses minimal power, but is not capable of complex image processing. Kinsey’s research seeks to answer if the additional power requirement of nonlinear optical computing is worthwhile given its ability to handle more complex processing tasks. Nonlinear optical computing could be applied to a number of non-military applications. In driverless cars, optical computing could make better light detection and ranging equipment (better known as LIDAR). Dark field microscopy already uses related optical processing techniques for ‘edge detection’ that allows researchers to directly view details without the electronic processing of an image. Telecommunications could also benefit from optical processing, using optical neural networks to read address labels and send data packets without having to do an optical to electrical conversion. The concept of optical computing is not new, but interest (and funding) in theory and development waned in the 1980s and 1990s when silicon chip processing proved to be more cost effective. Recent years have seen many advancements in computing, but the more recent slowdown in scaling of silicon-based technologies have opened the door to new data processing technologies. “Optical computing could be the next big thing in computing technology,” Kinsey said. “But there are plenty of other contenders — such as quantum computing — for the next new presence in the computational ecosystem. Whatever comes up, I think that photonics and optics are going to be more and more prevalent in these new ways of computation, even if it doesn’t look like a processor that does optical computing.” Kinsey and other researchers working in the field are in the early stages of scientific exploration into these optical computing devices. Consumer applications are still decades away, but with silicon-based systems reaching the limit of their potential, the future for this light-based technology is bright.

5 min. read
Is AI Censoring Us?  
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Is AI Censoring Us?

Artificial intelligence has been hogging headlines around the world in recent months. In late March 2023, an unprecedented coalition of tech CEOs signed an open letter calling for a moratorium on AI training. The race to empower powerful artificial minds should be paused, argued signatories (including Elon Musk) to give humanity time to review and reassess the potential risks of developing “human-competitive intelligence”–intelligence that “no one–not even their creators–can understand, predict, or reliably control.” Concerns about the unchecked rise of AI are not new, and global media is increasingly sounding the alarm, citing concerns that range from invasion of privacy to an existential threat to human existence. Weighing in on this with compelling new evidence around the “unintended consequences” of AI is research by Goizueta’s Ramnath Chellappa and Information Systems PhD candidate, Jonathan Gomez Martinez. Uncovering the Threat Their paper, Content Moderation and AI: Impact on Minority Communities, takes a hard look at how the use of AI in social media could disadvantage LGBTQ+ users. And what they find is worrying. Chellappa, who is Goizueta Foundation Term Professor of Information Systems & Operations Management, explains that he and Gomez Martinez homed in on Twitter to explore how unchecked artificial language moderation might (mistakenly) censor the use of “otherwise toxic” language by failing to understand the context or nuanced use of the LGBTQ+ lexicon. Examples of this include “reclaimed language”—verbiage that would be a slur in other contexts—but is reclaimed and prosocial if used by the originally targeted community. Their paper, Content Moderation and AI: Impact on Minority Communities, takes a hard look at how the use of AI in social media could disadvantage LGBTQ+ users. And what they find is worrying. Chellappa, who is Goizueta Foundation Term Professor of Information Systems & Operations Management, explains that he and Gomez Martinez homed in on Twitter to explore how unchecked artificial language moderation might (mistakenly) censor the use of “otherwise toxic” language by failing to understand the context or nuanced use of the LGBTQ+ lexicon. Examples of this include “reclaimed language”—verbiage that would be a slur in other contexts—but is reclaimed and prosocial if used by the originally targeted community. “This is a community that has ‘reclaimed’ certain words and expressions that might be considered offensive in other contexts. Terms like ‘queer’ are used within the community both in jest and as a marker of identity and belonging. But if used by those outside the community, this kind of language could be deemed inflammatory or offensive.” Gomez Martinez adds: “We wanted to measure the extent to which AI’s lack of a nuanced understanding of what is ‘acceptable’ affects minority users’ online interactions. As humans, we understand that marginalized communities have long used ‘reclaimed words’ both in jest and as a kind of rallying cry. Our intuition was that the machine simply wouldn’t understand this without context—context that is more immediately apparent to people.” Determining the Impact of AI-Based Moderation To test this, he and Chellappa looked at data from social media behemoth, Twitter. During the pandemic in 2020, the platform made a significant shift to AI-based content moderation to accommodate stay-at-home measures. Data from Twitter’s proprietary Academic Research API afforded Gomez Martinez and Chellappa access to a complete listing of historical tweets and replies before, during and after this period. Together they analyzed a total of 3.8 million interactions (1.8 million tweets and 2.0 million replies) from a panel of 2,751 users, of which 1,224 self-identified as LGBTQ+ in their Twitter bios. Their study ran over four months, from January to May 2020, before, during and after the switch to machine-based moderation. Using the same tools that Twitter moderators deploy to moderate interactions, Gomez Martinez and Chellappa were able to measure any increase or decrease in pro-social, in-group teasing and toxic language among LGBTQ+ users: terms such as “bitch” or “queer,” which research shows to be a form of ritualized insults—dubbed “reading” by the community—which can appear inappropriate or incoherent to outsiders, says Chellappa. “Analyzing the language, we find a notable reduction in the use of terms that could be considered toxic. When the AI moderation is in effect, you see these users’ language become more vanilla,” he adds. Quantifiably so, in fact. Chellappa and Martinez find a 27 percent reduction in the use of reclaimed language among LGBTQ+ users. And while that doesn’t sound like much, it’s significant for the community, says Gomez Martinez. Using in-language and reading each other is one way for this marginalized group to create a sense of community and social status. Not just that, we know from research that LGBTQ+ people use slurs and insults as a way of preparing themselves emotionally and psychologically for hostile interaction with heterosexual individuals. This kind of teasing and playing helps build resilience, so any reduction in it is significant.” Jonathan Gomez Martinez Good Intentions May Breed Unexpected Consequences So what does this mean for social media, for the LGBTQ+ community or any marginalized group for that matter, that might be prone to automated censorship? And how does any of this play out in the context of broader concerns around AI? For Chellappa and Gomez Martinez, there is a major hazard in granting technology any degree of control over how human beings interact. And it’s rooted in the mismatch between good intentions and unexpected consequences. Their paper, one of the first to dig into the impact of AI on actual business and society, lays bare some of the real-world impact AI has already had on marginalized people. While this study looks at the LGBTQ+ community, it could equally apply to any group that is prone to bias or exclusion—racial minorities or any other underrepresented demographic. “Wherever you have user-generated content, you are likely to find communities with their own, unique way of interacting. We looked at LGBTQ+ Twitter users, but you could also look at the African American community, for instance.” Ramnath K. Chellapa At a time when social media platforms have become almost newslike in their influence, this is a concern. On the one hand, censoring certain demographics might earn Twitter et al an unwanted reputation for being anti-LGBTQ+ or racist, he adds. But there are even bigger stakes here than bad publicity. “Twitter has long aspired to be a kind of global town square,” says Gomez Martinez. “But you end up pretty far from that scenario if only some voices are truly heard, or if you start reinforcing biases because you are using a time-saving technology that is not equipped yet to understand the complexity and nuance of human interaction.” AI isn’t there yet, say Chellappa and Gomez Martinez. And they caution against using AI indiscriminately to expedite or streamline processes that impact human communication and interchange. If we don’t keep track of it, their research shows that AI has the potential to start dictating and moving people into normative behavior—effectively homogenizing us. And that’s a problem. Looking to know more? Ramnath Chellappa is available to speak with media. Simply click on his icon now to arrange an interview today.

CorpusCast with Dr Robbie Love: Dr Miloš Jakubíček on Sketch Engine featured image

CorpusCast with Dr Robbie Love: Dr Miloš Jakubíček on Sketch Engine

The latest episode of the Aston Originals podcast, CorpusCast with Dr Robbie Love, offers listeners a peek into the remarkable evolution of Sketch Engine, the ground-breaking corpus query and management system developed by Lexical Computing. In this episode, Dr Miloš Jakubíček, the CEO of Lexical Computing, takes centre stage to narrate the fascinating journey of Sketch Engine. As an accomplished NLP researcher and software engineer, Dr Jakubíček’s profound expertise in the intersection of corpus linguistics, computational linguistics and lexicography promises to unravel the story behind one of the most widely used and celebrated corpus platforms in existence. For over 20 years, Sketch Engine has been a cornerstone of research in various domains, including lexicography, language learning and, naturally, corpus linguistics. This episode delves into the origins of Sketch Engine, tracing its growth from its inception to its current status as a trusted companion of linguists, researchers and language enthusiasts worldwide. Listeners will get an insider's perspective on the monumental impact of Sketch Engine in processing vast text corpora and deciphering morphologically rich languages. Dr Jakubíček sheds light on the tool's pivotal role in advancing research in these areas, reflecting on its dynamic journey from conception to its position as a game-changing resource for language professionals. Meanwhile Dr Love is thrilled to present this engaging episode, which coincides with the announcement made at the recent Corpus Linguistics Conference. With excitement resonating in his voice, Dr Love shared that Aston University, alongside Birmingham City University and the University of Birmingham, will co-host the upcoming Corpus Linguistics Conference in 2025. This exciting news, revealed during the conference in Lancaster, promises to gather linguists, researchers and enthusiasts in Birmingham for an event that is expected to be a milestone in the world of linguistic exploration. Don't miss out on this riveting episode, where the past, present and future of corpus linguistics converge through the lens of Sketch Engine. Tune in for an enlightening conversation with Dr Miloš Jakubíček, available here and on all major podcast platforms. Dr Robbie Love ? https://bit.ly/3Zcgo36 Dr Miloš Jakubíček ? https://bit.ly/3DHBgWF Aston Centre for Applied Linguistics ? https://bit.ly/3QKHcSF School of Social Sciences and Humanities ? https://bit.ly/3JCRAd1 Find out more about courses related to this show ? https://bit.ly/3pR705k #linguistics #corpuslinguistics #astonuniversity

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2 min. read