Research on social media and its effects on people. Covers sleep and mood, body image, self-objectification, and the platforms' wider social impact.
A national study published in Sleep Health found that screen habits linked to better sleep include keeping devices out of the bedroom and avoiding screens before bedtime. The study analyzed data from 10,280 preteens aged 10-14 and found that 15.5% reported trouble falling or staying asleep in the past two weeks.
Researchers from Aarhus University conducted an online experiment showing that repeated exposure to food images can induce satiety, reducing the desire for more. The study found that participants who viewed pictures of orange M&M's 30 times chose a smaller portion than those who only saw them three times.
A recent study analyzed over half a million tweets from 2017 to 2022, finding that social media plays a crucial role in corporate social responsibility (CSR) efforts. The study identified key topics, including sustainability, climate change, and waste management, as well as areas of growth and decline in CSR communication.
A recent study found that a vast majority of tweets about obesity are negative, with only 8.25% containing positive sentiments. The analysis suggests that Twitter activity spiked around significant political events, including comments from influential politicians and celebrities.
A Curtin University research found that 98% of TikTok videos promoting vaping pose a risk to teens. The study highlights the need for stricter regulations and enforcement on social media platforms.
A recent study investigated social media posts of emergency medicine physicians during the COVID-19 pandemic, revealing key thematic shifts in language related to anxiety, anger, depression, and loneliness. Social media was found to provide a real-time landscape for evaluating emotional well-being among healthcare workers.
Researchers found that machine-learning models trained with descriptive data label rule violations more harshly than humans, leading to potential serious implications in the real world. This study highlights the need for careful consideration of data labeling and training methods to ensure fairness and accuracy in AI decision-making.
A study presented at Digestive Disease Week found that nearly 40% of TikTok posts about liver disease contain false or misleading information. Inaccurate claims often push fad diets, detox drinks, and herbal remedies as cures, with little engagement compared to accurate posts.
Researchers found that telepresence drives addictive behavior on both platforms, with 28% of Instagram users and 24% of TikTok users qualifying as addicted. Immersion in social media experience displaces meaningful relationships, which can be detrimental to well-being.
Emotion dysregulation and fear of missing out (FoMO) contribute to problematic smartphone use among young people. Difficulty in controlling impulses and emotional clarity increase FoMO levels.
A growing number of parents are managing their children as paid social media influencers, raising concerns about child exploitation and commodification. The rise of kidfluencers has led to new frameworks and potential legislation being called for in this largely unregulated environment.
A study comparing physician and AI chatbot responses found chatbots excelled in both quality and empathy, while physicians were preferred for their nuanced understanding. The findings suggest that integrating chatbots into clinical settings could improve response quality and reduce clinician burnout.
Researchers from Nemours Children's Health present findings on pediatric mental health, HPV vaccination strategies, primary hypertension in youth, and the effects of social media on pediatric care. The studies aim to improve child well-being and provide innovative approaches to addressing pressing topics.
A recent study by Sara Valentini and colleagues at Bocconi University found that consistency between online content and the values associated with a brand increases rebroadcasting frequency. Posts containing price promotions also perform well when aligned with the brand's identity, with followers being 109% more likely to share them.
A study by Drexel University and Vanderbilt University analyzed 82 relevant conversations on Instagram direct messages where teens asked for help, revealing that most disclosures were about mental health concerns. Support was offered in most cases, but specific sets of circumstances led to denial.
Researchers at the University of South Australia analyzed Instagram fitspiration accounts, finding nearly two-thirds published dubious fitness information. Hyper-sexualized content, objectification, or nudity was present in around a quarter of accounts, promoting unhealthy body shapes and driving body image issues.
Researchers found that people dislike fitness recommendations from apps using social media data, instead favoring personalized approaches with control options. Users prefer systems allowing them to choose between different recommendation methods, making them feel more in control.
Researchers trained a machine learning program using data from over 5 million direct messages, annotated by 150 adolescents who experienced uncomfortable or unsafe conversations. The technology can quickly flag risky DMs and is intended to address rising trends of child sexual exploitation.
A new study uses social media data to understand global air conditioning adoption patterns. It finds that middle-aged, educated males and parents of small children tend to express higher online interest in AC. This research aims to improve climate change adaptation measures by identifying sociodemographic groups at risk.
New research using social media advertising data provides insights into the adoption of air conditioning units worldwide, particularly in heat-vulnerable regions. The study found that middle-aged, highly educated, married males, and parents with small children are more likely to express online interest in AC units.
A machine learning program can spot risky conversations on Instagram by analyzing metadata clues, such as conversation length and participant engagement. The system was 87% accurate in identifying risky chats using sparse and anonymous details from over 17,000 private chats.
A new Twitter analysis reveals that medical dramas like New Amsterdam, Chicago Med, and Grey's Anatomy influenced hundreds of people's thoughts on vaping dangers. The study found that nearly half the tweets commented on the realism of the storylines, with some even expressing intention to quit vaping.
A UC Davis study analyzed millions of Twitter posts to find that social media can both amplify and disrupt individual issues, leading to both unifying and divisive outcomes. The research highlights the complex nature of social media's impact on public discourse, revealing an oscillation between integrated and segregated communication.
Researchers found that employing social media posts as visual nudges to encourage safe behaviors significantly impacted COVID-19 positivity rates. Images communicating the value of wearing masks made a real difference, with effects remaining even after accounting for various organizational characteristics and disease dynamics.
Researchers at the University of São Paulo used artificial intelligence and Twitter to develop a database and models that can detect depression and anxiety before clinical diagnosis. The study found that BERT performed best in predicting depression and anxiety, with a statistically significant difference from LogReg.
A new study found that a handful of key Twitter influencers effectively countered vaccine misinformation and promoted accurate information about vaccines. Social media influencers can use their social capital to challenge the spread of conspiracy theories.
A team at the University of Pittsburgh has created a framework to analyze the influence of online conspiratorial content on individuals and communities. The project aims to identify sociodemographic and psychometric factors that contribute to the spread of such messages.
Researchers from George Mason University found that anti-tobacco campaigns on Facebook discussing the risks of second-hand smoking to pets received the most user engagement. The studies analyzed factors influencing effective antismoking campaigns and user interaction.
Cornell University researchers found that teens' trust in COVID-19 news on social media is key to their well-being. Higher levels of trust are linked to a positive sense of social well-being and lower levels can lead to stress. News literacy programs are crucial for young people to discern fact-based sources from misinformation.
A new study found that LGB preteens ages 10-14 reported 10.4 hours of daily recreational screen time, which was nearly four hours more than their straight peers. The researchers argue that parents should regularly talk to their children about screen usage and develop a family media use plan.
A Washington State University-led analysis found that fake news consumption on Facebook was the primary driver of doubt about the election's integrity. Individuals who got election news through mainstream websites were less likely to consume fake news and more likely to believe in the results.
Researchers found that healthier foods require more photographic staging to gain popularity, but using warm colors, repetition, and clean backgrounds can increase audience engagement. This study aims to help health communication and practitioners create visually appealing content that garners higher social media engagement.
Researchers debunk rock'n'roll myth, finding narcotics have no effect on inspiration. Instead, complex training programs, meditation, and cultural exposure boost creativity. Training that highlights mental techniques has long-term impacts, while mindfulness activities like meditation also improve imagination in the short term.
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
New research highlights the need for extra support from professionals like teachers, youth workers, and speech therapists for children with disabilities when using the internet. The study found that these professionals often fail to provide adequate guidance on managing online risks, exacerbating existing digital inequalities.
Research by Rensselaer Polytechnic Institute found a decrease in fake and extremely biased Twitter content between 2016-2020, but top influencers became more polarized, creating an echo chamber effect. The study analyzed vast amounts of Twitter data to examine the social media platform's influence on U.S. politics.
A scoping review of 50 studies across 17 countries found a strong association between social media usage and body image concerns, poor mental health, and disordered eating. The study suggests that excessive social media use can have negative effects on young people's self-esteem and overall well-being.
Researchers found that people who ranked high in JOMO also reported high levels of social anxiety, but with mixed results on the nature of JOMO. High JOMO scorers were more likely to report moderate feelings of loneliness despite not being socially anxious.
Researchers developed a model to infer opinions from social networks and measure left-right political division. The model shed new light on how political beliefs are shaped, providing insights for policymakers and real-world debates.
A machine-learning model was trained on 10 million tweets to infer users' subjective wellbeing. The study found that New Year's Day is the most popular holiday, followed by Defender of the Fatherland Day and International Women's Day. The researchers also discovered gender differences in attitudes towards certain holidays.
A recent analysis found that TikTok health information videos on Mpox are often inaccurate, incomplete, and of poor quality. This poses significant risks to public health, particularly during outbreaks.
A new study explores the growing trend of patient influencers promoting prescription drugs on social media, often with close ties to pharmaceutical companies. Despite some good intentions, researchers raise concerns about the lack of medical training and potential for misinformation, highlighting the need for greater regulation.
Research by University of Florida researchers found that disinformation ads on Facebook use a clear recipe with short ad buys, familiar language, and big budgets to reach more people. The most engaging ads were full of positive feelings encouraging good emotions about one's own groups rather than bad emotions towards others.
New research reveals that Gen Z values authenticity in online personal branding strategies, using platforms like LinkedIn to project strong impressions. Study findings suggest that imperfection is beneficial for job seekers, with employers seeking unique points and cultural fit.
Research finds that both conservative and liberal Americans share fake news due to a fear of exclusion from their social groups. The study suggests that pre-bunking methods and highlighting the importance of accurate news can help reduce the spread of fake news.
A web-based program educating mothers about reliable health information and vaccine-preventable illnesses was effective in persuading vaccine-hesitant mothers to vaccinate themselves and their infants. The study found that 82% of hesitant pregnant women received flu and Tdap vaccines after participating in the online intervention.
A study from Swansea University found that reducing social media use by 15 minutes a day can significantly improve physical health and psychological well-being. The results showed a 15% improvement in immune function, 50% improvement in sleep quality, and 30% fewer depressive symptoms.
A new study published in BMC Public Health suggests that problematic social media use in preteens is linked to both positive and negative alcohol beliefs. Researchers found that 97% of social media posts display alcohol in a positive context, contributing to positive perceptions among adolescents.
A new study by University of Cambridge researchers found that offering tiny cash rewards for accuracy can increase people's ability to distinguish between misinformation and the truth. The study suggests that fake news thrives due to a motivational imbalance, where users have more incentive to get clicks than to spread accurate content.
A new study found that U.S. senators' tweets about greed perform better in terms of likes and retweets, particularly among Democrats who gain stronger traction for negative tweets about their opponents.
A new study by MIT scholars reveals that sharing news on social media can lead to a decline in accuracy, as considering sharing impairs people's ability to discern truth. The study found that asking participants about sharing reduced their success rate at telling truths from falsehoods, with a 35% decrease in accuracy.
A 21-person commission of public health experts calls for networked communities sharing accurate vaccine information to counter misinformation. The US has seen a surge in anti-vaccine activism, leading to vaccine hesitancy and increased illnesses.
Researchers at Brigham Young University categorized GIF users into three types: Enthusiasts, Searchers, and Referentialists. Enthusiasts use GIFs to express themselves and impress others, while Searchers enjoy the thrill of finding the perfect GIF for a situation. Referentialists rely on pop culture references to respond to GIFs. Under...
Researchers found that Americans are more receptive to counter-partisan messages than previously thought, and party loyalty does not significantly distort their processing of evidence. The study used a survey of over 5,000 partisans to test the effect of persuasive messaging on their attitudes.
Primary care physicians recommend screening adolescents and young adults for cyberbullying and social media misuse, citing the need for timely intervention due to underreported incidents. Screening tools like R-OBVQ, CBVS, CABS, and MARC can help identify potential risks.
Analysis in the US, UK, Brazil, and Argentina shows that winners' Twitter supporters respond faster and engage more positively than losers' supporters. The study found reduced toxicity levels among winners' supporters, suggesting a correlation between winning and increased social media engagement.
Researchers analyzed 304,242 #StopAsianHate tweets to understand the role of reflection in social justice activism. The study found that reflection is an essential element, informing both individual involvement and overall movement progress.
Researchers catalogued fake interaction resale panels offering customized services, including buying likes, views, followers, and online visits on various platforms.
A study analyzing over 800,000 tweets found that negative emotions expressed about geoengineering can easily fall into conspiracy theories. The researchers also discovered a strong link between geoengineering and the chemtrail conspiracy theory, with toxic tweets spilling over across regional boundaries.
A study of over 93,000 people across 93 countries found that men and women spend an average of four hours a day on beauty-enhancing behaviors. Social media usage is the strongest predictor of attractiveness-enhancing behaviors, with active users investing more time in improving their appearance.