Tag: social media
Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.
Twitter keeps track of what its users post, when they post, and where they post from, and with that data a team of University of Rochester researchers was able to develop a method for evaluating how and where Twitter users drink alcohol.
By extracting information from Instagram images and hashtags, computer science researchers have shown they can expose patterns of underage drinking more cheaply and faster than conventional surveys.
Instagram could help monitor drinking habits of teenagers more cheaply and faster than conventional surveys and also find new patterns, such as what alcohol brands are favoured by the youth, says a new study.
Researchers have commenced two projects to improve maternal and mental health in low- and middle-income countries by harnessing information technology and social media.
The University of Rochester will be asking the Monroe County District Attorney’s Office to subpoena information from a social media site to identify UR students believed to have been responsible for posting racially offensive and threatening language.
University senior counsel Richard S. Crummins sent a letter Thursday to Yik Yak, a popular social networking app, making the demand for information, along with screenshots of the posts the university wants to have identified.
While social media, especially Twitter, can benefit a television show in real-time, offline word-of-mouth is more influential to get a new viewer to watch a new program, according to a new study from the Simon Business School.
Researchers at the University of Rochester are focusing on how social media messages can affect mental health. A new program using the camera on a smartphone or laptop can gauge stress levels for people as they use social media.