Sharing photos of your kids online? Here's what you should consider.

May 9, 2023

3 min

Stacey Steinberg

By Emma Richards


Today’s parents are the first to raise children alongside social media and in this era of likes, comments and shares, they must also decide when to post images of their children online and when to hold off to protect their privacy.


The practice of “sharenting” – parents posting images of their children on social media platforms — has drawn attention to the intersection between the rights of parents and the rights of their children in the online world. Stacey Steinberg, a professor in UF’s Levin College of Law, author and mother of three, says parents need to weigh the right to post their child’s milestones and accomplishments online against the right of a child to dictate their own digital footprint and maintain their privacy.


Steinberg, like many parents, avidly posted photographs of her children online to document their childhoods. When she left her job as a child welfare attorney to become a professor, Steinberg also began writing about her motherhood experiences. She also began rethinking posting about her children online, realizing that it could be doing more harm than good. And yet, there was little guidance for parents on to consider when posting images and how to do so with their children’s safety in mind.


Among the problematic issues: Machine learning and artificial intelligence allow for the collection of information about people from online posts but there is little control over or understanding of how that stored information is being used or how it will future impact on the next generation.


According to Steinberg, a Barclays study found that by the year 2030, nearly two-thirds of all identity theft cases will be related to sharenting. There are also concerns pedophiles may collect and save photographs of children shared online. For example, one article she reviewed reported that 50% of pedophile image-sharing sites had originated on family blogs and on social media.


Steinberg says parents should model appropriate social media behavior for their children, such as asking permission before taking and posting an image and staying present in the moment rather than living life through a lens or being fixated with what’s online.


“I think it’s a danger that we’re not staying in the moment, that we’re escaping to our newsfeed or that we’re constantly posting and seeing who’s liked our images and liked what we’ve said instead of focusing on real connections with the people in front of us,” Steinberg said in an episode of the From Florida Podcast.


While parents serve as the primary gatekeepers for children’s access to the online world, tech companies and policymakers also have roles to play in setting parameters and adopting law that protect children’s safety. Numerous European countries have already moved in this direction with such concepts as the “right to be forgotten,” which allows people to get information that is no longer relevant or is inaccurate removed to protect their name or reputation on platforms such as Google.


“The United States really would have a hard time creating a right to be forgotten because we have really strong free speech protections and we really value parental autonomy Steinberg said.


Google has, however, created a form that allows older kids to request that old photographs and content about them be removed from the internet, which Steinberg says is a promising step.


Steinberg would love to see other mechanisms adopted to minimize the amount of data that is collected about children and ensure artificial intelligence is used responsibly and ethically when collecting online data.


In the meantime, parents can proactively make online privacy issues a topic of discussion with their children and take proactive steps to limit their digital footprints, such as deleting old childhood photos.


“One thing that I really want to encourage families to do is not to fear the technology, but to try to learn about it,” Steinberg said.


Connect with:
Stacey Steinberg

Stacey Steinberg

Director | Professor

Stacey Steinberg's research explores the intersection of a parent's right to share online and a child's interest in privacy.

Family LawChild WelfareOnline SafetySharentingChildren's Privacy

You might also like...

Check out some other posts from University of Florida

4 min

UF team develops AI tool to make genetic research more comprehensive

University of Florida researchers are addressing a critical gap in medical genetic research — ensuring it better represents and benefits people of all backgrounds. Their work, led by Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering, focuses on improving human health by addressing "ancestral bias" in genetic data, a problem that arises when most research is based on data from a single ancestral group. This bias limits advancements in precision medicine, Graim said, and leaves large portions of the global population underserved when it comes to disease treatment and prevention. To solve this, the team developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data. With funding support from the National Institutes of Health, the goal is to improve how diseases are predicted, diagnosed, and treated for everyone, regardless of their ancestry. A paper describing the PhyloFrame method and how it showed marked improvements in precision medicine outcomes was published Monday in Nature Communications. Graim, a member of the UF Health Cancer Center, said her inspiration to focus on ancestral bias in genomic data evolved from a conversation with a doctor who was frustrated by a study's limited relevance to his diverse patient population. This encounter led her to explore how AI could help bridge the gap in genetic research. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” —Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering and a member of the UF Health Cancer Center “I thought to myself, ‘I can fix that problem,’” said Graim, whose research centers around machine learning and precision medicine and who is trained in population genomics. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” By leveraging data from population genomics database gnomAD, PhyloFrame integrates massive databases of healthy human genomes with the smaller datasets specific to diseases used to train precision medicine models. The models it creates are better equipped to handle diverse genetic backgrounds. For example, it can predict the differences between subtypes of diseases like breast cancer and suggest the best treatment for each patient, regardless of patient ancestry. Processing such massive amounts of data is no small feat. The team uses UF’s HiPerGator, one of the most powerful supercomputers in the country, to analyze genomic information from millions of people. For each person, that means processing 3 billion base pairs of DNA. “I didn’t think it would work as well as it did,” said Graim, noting that her doctoral student, Leslie Smith, contributed significantly to the study. “What started as a small project using a simple model to demonstrate the impact of incorporating population genomics data has evolved into securing funds to develop more sophisticated models and to refine how populations are defined.” What sets PhyloFrame apart is its ability to ensure predictions remain accurate across populations by considering genetic differences linked to ancestry. This is crucial because most current models are built using data that does not fully represent the world’s population. Much of the existing data comes from research hospitals and patients who trust the health care system. This means populations in small towns or those who distrust medical systems are often left out, making it harder to develop treatments that work well for everyone. She also estimated 97% of the sequenced samples are from people of European ancestry, due, largely, to national and state level funding and priorities, but also due to socioeconomic factors that snowball at different levels – insurance impacts whether people get treated, for example, which impacts how likely they are to be sequenced. “Some other countries, notably China and Japan, have recently been trying to close this gap, and so there is more data from these countries than there had been previously but still nothing like the European data," she said. “Poorer populations are generally excluded entirely.” Thus, diversity in training data is essential, Graim said. "We want these models to work for any patient, not just the ones in our studies," she said. “Having diverse training data makes models better for Europeans, too. Having the population genomics data helps prevent models from overfitting, which means that they'll work better for everyone, including Europeans.” Graim believes tools like PhyloFrame will eventually be used in the clinical setting, replacing traditional models to develop treatment plans tailored to individuals based on their genetic makeup. The team’s next steps include refining PhyloFrame and expanding its applications to more diseases. “My dream is to help advance precision medicine through this kind of machine learning method, so people can get diagnosed early and are treated with what works specifically for them and with the fewest side effects,” she said. “Getting the right treatment to the right person at the right time is what we’re striving for.” Graim’s project received funding from the UF College of Medicine Office of Research’s AI2 Datathon grant award, which is designed to help researchers and clinicians harness AI tools to improve human health.

1 min

Opinion: Hey Florida! Want to go to Mars? Here’s what it will do to your body

The president is eager “to plant the stars and stripes on the planet Mars.” Would you sign up for that mission? What would happen to your body in the three years you would be gone? As the United States continues to prioritize space travel, you might wonder why anyone would want to travel to Mars and whether it’s even ethical to expose humans to such extreme physiological conditions. The world is watching as the astronauts on the Boeing Starliner remain stuck in space until at least March due to a capsule malfunction. So many questions have arisen about the impacts of people spending extended periods of time in space, and we don’t have all the answers yet. However, because I study how spaceflight affects human physiology and performance, I have some ideas. The first 10 minutes of your journey will be exciting, but it’s the next months and years we really need to worry about. We have solved some of the problems but not all. After you lift off, the high g-forces will paste your body against the crew couch as you accelerate, but there’s really not too much to fear. A typical launch results in only about half the acceleration experienced by a fighter pilot in a tight turn. You might feel lightheaded, but astronauts have dealt with this for generations. Read the full article in the Tampa Bay Times here:

3 min

As holiday shopping season nears, UF experts warn retail theft is growing more sophisticated

With the busiest shopping season of the year approaching, new findings from the National Retail Federation’s Impact of Retail Theft and Violence 2025 report — developed by the University of Florida’s SaferPlaces Lab and the Loss Prevention Research Council — show retailers are facing increasingly complex and technology-driven threats. UF researchers say early preparation, better data and stronger collaboration will be essential as stores brace for heavier foot traffic and heightened safety risks. Despite public reports that retail theft is decreasing, Read Hayes, Ph.D., a UF research scientist and director of the LPRC at UF Innovate, said retailer surveys tell a different story: Incidents of shoplifting, organized retail crime, online fraud and other external theft continue to rise, even as some law enforcement statistics appear flat or declining. The gap, he said, reflects how much crime goes unreported or unrecorded. “Retailers have always had a difficult time reporting much of their crime, and if you look only at police data, like calls for service or arrests, it can look like retail crime is flat or even slightly down,” he said. “But when we survey retailers, who are the actual crime victims, they consistently report year-over-year increases in theft and violence.” Criminal groups are also becoming more sophisticated. Hayes said offenders are increasingly using technology to defeat protective systems, disrupt cameras and identify vulnerable stores. They also rely heavily on social media platforms such as TikTok and Reddit to coordinate attacks and share tactics. “It’s a little disconcerting how much criminals rely on social media now to scout stores, map out easy targets, learn from each other or just plain brag about how they did it,” he said. LPRC scientists monitor social media signals to help retailers and law enforcement understand emerging threats — not in real time, Hayes said, but to help build best practices organizations can use to defend themselves. Criminals continue to focus on high-demand items such as branded apparel and footwear, prompting retailers to rethink how those products are displayed and secured. Hayes said many companies are testing new approaches to better protect vulnerable merchandise without driving customers away. One example is automated self-service systems for locked items, where customers can retrieve a product by having a code sent to their phone without waiting for a store employee. Safety remains retailers’ top concern, Hayes said. LPRC’s latest report, developed in collaboration with the security technology company Verkada, found that frontline retail workers report feeling less safe than ever, a trend that typically intensifies during the holiday rush. Rising incidents of in-store violence, limited law enforcement support in some areas and increased guest-related confrontations are pushing retailers to reassess how they protect both employees and customers. “Nothing is more important than protecting the frontline retail associates who keep this industry running,” Hayes said. “This report helps reinforce what retailers need to do to ensure those workers feel safe.” LPRC teams are also studying ways to improve safety beyond store walls, testing parking lot technologies, including license plate readers and flashing deterrent systems designed to discourage potential offenders and reassure law-abiding shoppers. At the federal level, Hayes said he and partners across the country are urging Congress to pass a bill to address organized retail crime and establish a centralized platform for reporting retail theft threats. As the holiday season approaches, Hayes said the need for evidence-based solutions has never been clearer. “Retailers are under pressure to keep their stores safe, welcoming and competitive,” Hayes said. “The more we can understand offender behavior, customer expectations and emerging technologies, the better we can help retailers, communities and law enforcement reduce harm.” The LPRC, headquartered at UF Innovate, brings together more than 200 major retailers, technology companies and public safety agencies to conduct research that strengthens store safety, reduces loss and enhances the customer experience.

View all posts