Internet search trends may immediately capture how society seeks information related to reproductive health care, according to new research from Indiana University researchers.
A study exploring trends in suicide rates among 13 to 14 year olds from 1999 to 2018 shows rates more than doubled from 2008 to 2018, following a rise in social media and despite significant declines in suicide mortality in this age group previously from 1999 to 2007. These trends were similar in urban and rural areas but were more common in boys in rural areas where firearms are more prevalent. Suicides occurred significantly more often between September and May and were highest on Monday followed by the rest of the weekdays, suggesting school stress as a contributor.
They’re the tanned, toned bodies sporting the latest fitness fashion, but when it comes to body image these ‘fitspiration’ influencers are more talk than walk, according to world-first research from the University of South Australia.
Researcher will discuss the study which involved a sleeping aid known as suvorexant that is already approved by the Food and Drug Administration (FDA) for insomnia, hints at the potential of sleep medications to slow or stop the progression of Alzheimer’s disease.
The decision of social media platform Twitter under ownership of tech mogul Elon Musk to label National Public Radio and the Public Broadcasting Service as “U.S. state-affiliated media” caused the prominent news outlets to respond by ending use of Twitter. This conflict is the latest in an escalating series of conflicts between Musk and media outlets of multiple stripes.
Youth in the U.S. are targets of cross-platform digital abuse from peers, strangers, offline acquaintances and even relatives, with threats ranging from harassment and sexual violence to financial fraud, according to a new study from Cornell University and Google researchers.
University of Minnesota Twin Cities computer science researchers found that the nature of TikTok’s algorithm can have both positive and negative outcomes for users’ mental health and sense of belonging on the platform.
As regulators and providers grapple with the dual challenges of protecting younger social media users from harassment and bullying, while also taking steps to safeguard their privacy, a team of researchers from four leading universities has proposed a way to use machine learning technology to flag risky conversations on Instagram without having to eavesdrop on them. The discovery could open opportunities for platforms and parents to protect vulnerable, younger users, while preserving their privacy.
Using disinformation to create political instability and battlefield confusion dates back millennia. However, today’s disinformation actors use social media to amplify disinformation that users knowingly or, more often, unknowingly perpetuate. Such disinformation spreads quickly, threatening public health and safety. Indeed, the COVID-19 pandemic and recent global elections have given the world a front-row seat to this form of modern warfare.
Discord, a chat platform originally built for online gaming, is now subject of intense scrutiny after intelligence documents were leaked - allegedly by a member of the military. James Ivory, a Virginia Tech professor who researches social media and video game use related to military simulations and links to political extremism and intelligence risks, said Discord has become a very mainstream platform for individual and community messaging.
Social media companies need content moderation systems to keep users safe and prevent the spread of misinformation, but these systems are often based on Western norms, and unfairly penalize users in the Global South, according to new research at Cornell University.
Now that we’ve arguably rounded the corner from the pandemic, researchers are dissecting our response and how we can improve it in the future.Sebastian Souyris, assistant professor and Dean R. Wellington ’83 (Junior) Chair at Rensselaer Polytechnic Institute’s Lally School of Management, contributed to research led by Anton Ivanov, assistant professor in the Gies College of Business at the University of Illinois Urbana-Champaign.
Researchers at the University of São Paulo (USP) in Brazil are using artificial intelligence (AI) and Twitter, one of the world’s largest social media platforms, to try to create anxiety and depression prediction models that could in future provide signs of these disorders before clinical diagnosis.
Currently, 12.5% of U.S. adults smoke cigarettes. At the same time, more than one-third of U.S. adults seek health information online, making social media a potentially powerful platform for anti-tobacco campaigns. However, limited research has been done on effective social media strategies for anti-smoking campaigns.