Tag: social media
Can Twitter anticipate attacks against Asians and Asian Americans?
Rochester computer scientists mine social media data to discover links between social characteristics of Twitter users and how they are likely to describe the novel coronavirus.
Political scientist Primo says Americans should worry about government control of social media
Congress is currently considering legislation that would regulate political advertising on social media.
Machine learning advances human-computer interaction
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.
10 years later, ‘inconsequential’ tweets a boon for researchers
Twitter founder Jack Dorsey chose the name because “twitter” described “a short inconsequential burst of information.” And yet, the social network is anything but inconsequential in terms of data science research and its applications. Twitter, which went public on this date in 2006, is fertile ground for Rochester researchers interested in tracking everything from disease outbreaks to the dynamics of political campaigns and consumer preferences.
Data mining Instagram feeds can point to teenage drinking patterns
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.
URMC supporting global health with technology, big data
Researchers have commenced two projects to improve maternal and mental health in low- and middle-income countries by harnessing information technology and social media.
‘Water cooler’ still trumps tweets in impact on TV viewership
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.
A picture is worth 1000 words, but how many emotions?
During a political campaign voters will often share their views through pictures posted on social media. A human could recognize one as being a positive portrait of the candidate and the other one negative. Professor Jiebo Luo and his collaborators are training computers to make the same assessments.
“Humans of New York” creator comes to campus
Brandon Stanton, creator of the photo blog Humans of New York, will speak Thursday, Feb. 27, in Strong Auditorium.
Tracking Tweets to Enhance Food Safety
The system combines machine-learning and crowdsourcing techniques to analyze millions of tweets to find people reporting food poisoning symptoms following a restaurant visit.