Social media use increases depression and loneliness
Facebook, Snapchat, and Instagram may not be great for personal well-being. For the first time, an experimental study shows a causal link between time spent on these social media and increased depression and loneliness.
Inventive legal approach decreases gang violence by 18 percent
The drop came after the City of Los Angeles filed nearly 50 civil injunctions against gangs, limiting the activity of their members, according to research from Penn criminologists.
Beyond the inevitable sugar high, what are the implications of consuming a glut of candy? Pediatric dentist Maria Velasco suggests coming up with a plan, then giving away the rest of the treats.
Promoting innovative, reproducible science: Penn’s Research Excellence Initiative
The two-year effort includes electronic research notebooks, a research symposium, and a task force of faculty and students, all spearheaded by the Office of the Vice Provost for Research.
Barbie Zelizer, the Raymond Williams Professor of Communication at the Annenberg School for Communication, is also the director of the Center for Media at Risk.
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Political intimidation, at-risk media, and the future of journalism
In the wake of Saudi journalist Jamal Khashoggi’s death, Barbie Zelizer, director of the Center for Media at Risk, discusses how journalists and other digital media practitioners can better prepare for working in today’s climate and why, for that to happen, the media culture needs to shift.
‘Healthy Pequeños’ teaches young children about hygiene, germs, and food safety
Alaina Hall’s project, a 2018 Penn President’s Engagement Prize winner, is already making a difference for a residential childcare home in Miacatlán, Mexico.
The new study reveals that indicators of the condition included mentions of hostility and loneliness, words like “tears” and “feelings,” and use of more first-person pronouns like “I” and “me.”
Linguistic red flags from Facebook posts can predict future depression diagnoses
The language people use in these social media posts can make these predictions as accurately as the tools clinicians use in medical settings to screen for the disease.
