theconversation.com – Siwei Lyu, Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo – 2024-04-16 07:31:48
Although companies have created detectors to help spot deepfakes, studies have found that biases in the data used to train these tools can lead to certain demographic groups being unfairly targeted.
My team and I discovered new methods that improve both the fairness and the accuracy of the algorithms used to detect deepfakes.
To do so, we used a large dataset of facial forgeries that lets researchers like us train our deep-learning approaches. We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%.
One was focused on making the algorithm more aware of demographic diversity by labeling datasets by gender and race to minimize errors among underrepresented groups.
The other aimed to improve fairness without relying on demographic labels by focusing instead on features not visible to the human eye.
It turns out the first method worked best. It increased accuracy rates from the 91.5% baseline to 94.17%, which was a bigger increase than our second method as well as several others we tested. Moreover, it increased accuracy while enhancing fairness, which was our main focus.
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We believe fairness and accuracy are crucial if the public is to accept artificial intelligence technology. When large language models like ChatGPT “hallucinate,” they can perpetuate erroneous information. This affects public trust and safety.
Likewise, deepfake images and videos can undermine the adoption of AI if they cannot be quickly and accurately detected. Improving the fairness of these detection algorithms so that certain demographic groups aren't disproportionately harmed by them is a key aspect to this.
Our research addresses deepfake detection algorithms' fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.
Social media apps regularly present teens with algorithmically selected content often described as “for you,” suggesting, by implication, that the curated content is not just “for you” but also “about you” – a mirror reflecting important signals about the person you are.
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All users of social media are exposed to these signals, but researchers understand that teens are at an especially malleable stage in the formation of personal identity. Scholars have begun to demonstrate that technology is havinggeneration-shaping effects, not merely in the way it influences cultural outlook, behavior and privacy, but also in the way it can shape personality among those brought up on social media.
The prevalence of the “for you” message raises important questions about the impact of these algorithms on how teens perceive themselves and see the world, and the subtle erosion of their privacy, which they accept in exchange for this view.
Teens like their algorithmic reflection
Inspired by these questions, my colleagues John Seberger and Afsaneh Razi of Drexel University and I asked: How are teens navigating this algorithmically generated milieu, and how do they recognize themselves in the mirror it presents?
In our qualitative interview study of teens 13-17, we found that personalized algorithmic content does seem to present what teens interpret as a reliable mirror image of themselves, and that they very much like the experience of seeing that social media reflection.
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Teens we spoke with say they prefer a social media completely customized for them, depicting what they agree with, what they want to see and, thus, who they are.
If I look up something that is important to me that will show up as one of the top posts [and] it'll show, like, people [like me] that are having a nice discussion.
It turns out that the teens we interviewed believe social media algorithms like TikTok's have gotten so good that they see the reflections of themselves in social media as quite accurate. So much so that teens are quick to attribute content inconsistencies with their self-image as anomalies – for instance, the result of inadvertent engagement with past content, or just a glitch.
At some point I saw something about that show, maybe on TikTok, and I interacted with it without actually realizing.
When personalized content is not agreeable or consistent with their self-image, the teens we interviewed say they scroll past it, hoping never to see it again. Even when these perceived anomalies take the form of extreme hypermasculine or “nasty” content, teens do not attribute this to anything about themselves specifically, nor do they claim to look for an explanation in their own behaviors. According to teens in our interviews, the social media mirror does not make them more self-reflective or challenge their sense of self.
One thing that surprised us was that while teens were aware that what they see in their “for you” feed is the product of their scrolling habits on social media platforms, they are largely unaware or unconcerned that that data captured across apps contributes to this self-image. Regardless, they don't see their “for you” feed as a challenge to their sense of self, much less a risk to their self-identity – nor, for that matter, any basis for concern at all.
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Shaping identity
Research on identity has come a long way since sociologist Erving Goffman proposed the “presentation of self” in 1959. He posited that people manage their identities through social performance to maintain equilibrium between who they think they are and how others perceive them.
When Goffman first proposed his theory, there was no social media interface available to hold up a handy mirror of the self as experienced by others. People were obligated to create their own mosaic image, derived from multiple sources, encounters and impressions. In recent years, social media recommender algorithms have inserted themselves into what is now a three-way negotiation among self, public and social media algorithm.
“For you” offerings create a private-public space through which teens can access what they feel is a largely accurate test of their self-image. At the same time, they say they can easily ignore it if it seems to disagree with that self-image.
The pact teens make with social media, exchanging personal data and relinquishing privacy to secure access to that algorithmic mirror, feels to them like a good bargain. They represent themselves as confidently able to tune out or scroll past recommended content that seems to contradict their sense of self, but research shows otherwise.
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They have, in fact, proven themselves highly vulnerable to self-image distortion and other mental health problems based on social media algorithms explicitly designed to create and reward hypersensitivities, fixations and dysmorphia – a mental health disorder where people fixate on their appearance.
Given what researchers know about the teen brain and that stage of social development – and given what can reasonably be surmised about the malleability of self-image based on social feedback – teens are wrong to believe that they can scroll past the self-identity risks of algorithms.
Interventions
Part of the remedy could be to build new tools using artificial intelligence to detect unsafe interactions while also protecting privacy. Another approach is to help teens reflect on these “data doubles” that they have constructed.
My colleagues and I are now exploring more deeply how teens experience algorithmic content and what types of interventions can help them reflect on it. We encourage researchers in our field to design ways to challenge the accuracy of algorithms and expose them as reflecting behavior and not being. Another part of the remedy may involve arming teens with tools to restrict access to their data, including limiting cookies, having different search profiles and turning off location when using certain apps.
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We believe that these are all steps that are likely to reduce the accuracy of algorithms, creating much-needed friction between algorithm and self, even if teens are not necessarily happy with the results.
Getting the kids involved
Recently, my colleagues and I conducted a Gen Z workshop with young people from Encode Justice, a global organization of high school and college students advocating for safe and equitable AI. The aim was to better understand how they are thinking about their lives under algorithms and AI. Gen Zers say they are concerned but also eager to be involved in shaping their future, including mitigating algorithm harms. Part of our workshop goal was to call attention to and foster the need for teen-driven investigations of algorithms and their effects.
What researchers are also confronting is that we don't actually know what it means to constantly negotiate identity with an algorithm. Many of us who study teens are too old to have grown up in an algorithmically moderated world. For the teens we study, there is no “before AI.”
I believe that it's perilous to ignore what algorithms are doing. The future for teens can be one in which society acknowledges the unique relationship between teens and social media. This means involving them in the solutions, while still providing guidance.
Why are some people faster than others? – Jon, age 14, Macon, Georgia
Usain Bolt, the world's fastest human, ran a 100-meter sprint at a speed of 23.35 miles per hour (37.57 kilometers per hour).
That's mind-blowingly fast for a human. It's about the same speed as cruising in a car through your neighborhood or in a school zone. It might not seem that fast when you're in the car, but for a person? Few runners in the world can even come close.
There are several reasons why some people can run very fast while others tend to run more slowly. Genetics – the traits you inherit from your parents – play a role, but so do your choices and experiences.
As pediatric exercisescientists, we create and evaluate programs that help children be healthy. The exciting news is that while you have no control over your genetics, you can train to improve your speed.
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Fast twitch, slow twitch
One major factor that influences your ability to run fast is the structure of your body, including how your muscles work.
The human body has more than 600 muscles that work together, allowing you to move in different directions and at various speeds. These muscles are made up of groups of fibers. There are two main types: fast twitch and slow twitch.
Muscles have different mixes of these fiber types. For example, two muscles make up the calf: One is predominantly fast twitch – that's the gastrocnemius, used for sprinting and jumping. The other is mostly slow twitch – that's the soleus, used for walking and jogging.
Fast-twitch muscle fibers are larger and help your body move quickly and generate significant force. Sprinters tend to have an abundance of fast-twitch muscle fibers. However, this muscle fiber type also tires quickly, which limits how long you can run at top speed to relatively short distances.
Slow-twitch muscle fibers are smaller and help you run at slower speeds, but with greater endurance. Long-distance runners and competitive cyclists tend to have a lot of these muscles.
You can teach your body to use the best running techniques. That includes proper posture, so your body is standing tall, and an economical stride, so your feet land below you rather than too far out in front, where they can slow you down.
You can also improve your running form by using your whole body, with your arms pumping in opposition to the legs, running on your toes and maximizing the time spent in flight phase with both feet off the ground. Using proper running techniques helps the muscles create more force and work together, which helps you run faster.
The more you practice an activity, the better you will get. As your ability to run fast increases, challenge yourself to run even faster.
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How to train to run faster – myth-busting!
You may have heard your friends chatting about ways to boost your speed or searched the internet for tips on getting faster. Time to bust some of those myths.
Myth 1: You have to run as fast as you can to train to be faster. That's false!
You don't have to run as fast as you can to get faster, and it actually helps to take short breaks to recover in between activities where you are sprinting.
Myth 2: You need to lift heavy weights to get faster. False!
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Functional strength training involves performing exercises that help you get better at specific movements. They involve using either medium weights or just the resistance of your own body weight. Doing planks, lunges, step-ups or jump squats are great examples. These activities focus on the muscles that are instrumental during running.
Myth 3: You need to specialize in running early in life to become a fast runner. False!
Picking one activity to focus on early in life may actually limit your ability to develop into a fast runner. Doing a variety of physical activities can help you develop new skills that improve your running. For example, the movements and endurance used in soccer may translate into the ability to run faster.
Training programs can take many shapes and forms. You can play running games with your friends, work on fast footwork using an agility ladder or create obstacle courses. There's nothing like a little healthy competition to motivate your training.
What's important is having fun while training and participating in
activities that promote running speed on a regular basis.
So, whether you want to be the next Usain Bolt or you just want to win a race against your friend, remember that with a little bit of genetic luck and hard work, it may just be possible.
Buzzwords describing the digital dating scene are all over social media. Have you been ghosted? Is someone orbiting you? Are you being breadcrumbed? While these dating patterns may not be new, the words to describe them continue to evolve.
If you're curious about the latest psychological research on digital dating – and are looking for evidence-based strategies to cope – read on.
Ghosting and orbiting
Ghosting is a sudden disruption in a relationship without any explanation. The “ghoster” vanishes suddenly, often leaving the other person with questions. And orbiting? That's when someone ghosts but continues to follow the other person on social media by watching stories or occasionally engaging in their content. These behaviors are pretty common, and you might wonder about their impact.
A 2022 study compared the psychological consequences of being ghosted, orbited or rejected by asking 176 participants about one randomly assigned breakup strategy they had experienced out of these three. Then, participants completed a questionnaire rating various feelings about their breakup.
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While feelings of rejection did not differ between the three breakup strategies – the end of a relationship hurts regardless – the results showed that ghosting led to stronger feelings of exclusion than being rejected outright. People in the ghosting category were also more likely to feel that their basic needs of belonging, self-esteem and control were threatened.
Being orbited, on the other hand, seemed to buffer victims partially from the emotional consequences of a breakup. Victims of orbiting, too, reported feeling higher levels of exclusion and threat to their basic needs than those who were rejected outright, but less than victims of ghosting did. Perhaps sporadic attention softens feelings of exclusion.
These findings are in line with other research. Understanding a breakup is important and helps individuals recover from the event. With no explanation, the rejected individual may be left feeling confused and uncertain, sometimes with unhealed psychological wounds.
Orbiting may cause further ambiguity, as the orbiter's behavior suggests a mild residual interest in the other person. An individual might wonder if the other person is still attracted or might want to return to the relationship. For some people, this uncertainty can be harmful, while others find it easier to let go of a relationship if they're still receiving some level of digital attention.
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A pair of studies in 2004 and 2005 showed people prefer receiving negative attention over being ignored entirely. In these role-playing experiments, those who experienced ostracism reported lower levels of belonging, control, meaningful existence and superiority than those who experienced an argument.
Breadcrumbing
Breadcrumbing is when someone drops morsels of flirtatious attention to keep the other person interested, even though they have no intention of participating in a relationship. Some classic signs of breadcrumbing are not responding to messages for long periods of time, vague communication, and avoidance of discussions related to feelings. These patterns tend to boost the breadcrumber's ego, self-worth and sense of power.
For the person being breadcrumbed, it's a different story. A 2020 study of 626 adults found victims of breadcrumbing were significantly more likely to have feelings of loneliness, helplessness and less life satisfaction than victims of ghosting. Because people on the receiving end of breadcrumbing remain in limbo longer, they experience repeated feelings of exclusion and ostracism. The ongoing nature of breadcrumbing explains why it can have more negative effects on mental health.
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Taking care of yourself
Given the prevalence of these behaviors, it's likely you've employed some of these dating tactics yourself. If so, I invite you to be mindful and think about how these patterns are serving you and consider your impact on others.
If you're also on the receiving end, here are some evidence-based strategies you can use to support yourself and maintain a positive outlook about the dating scene.
For example, rather than think, “I did something wrong to cause them to ghost me,” you could think, “Their decision to disengage from the relationship is more about them and how they relate to others than it is about me.” Being mindful of your cognitive patterns and practicing changing your narratives can help keep online dating from wreaking havoc on your psyche.
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It's also crucial to take inventory of what's most important to you. Identifying your values will not only allow you to better match with like-minded people, but it will also improve your relationship with yourself. When your life aligns with what's important to you, you increase its meaning, purpose and overall well-being. In living this way, you might find looking for a relationship is less urgent, which could help you to better spot red flags or mismatches.
I also recommend varying the ways you connect to others to mitigate burnout. A healthy mix of apps and meeting people “in the wild” will often yield the best outcome and allow the dating adventure to remain exciting.