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Science & Technology
April 20, 2020 | 04:44 pm

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.

topics: COVID-19, Department of Computer Science, Hajim School of Engineering and Applied Sciences, Jiebo Luo, social media,
Science & Technology
March 10, 2017 | 02:56 pm

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.

topics: data science, Department of Brain and Cognitive Sciences, Department of Computer Science, Department of Electrical and Computer Engineering, Ehsan Hoque, featured-post-side, Human-Computer Interaction Lab, Jacob Arkin, Jiebo Luo, research finding, Robby Jacobs, Robotics and Artificial Intelligence Laboratory, social media, Thomas Howard,
Science & Technology
July 15, 2016 | 06:31 am

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.

topics: data science, Goergen Institute for Data Science, Henry Kautz, Huazia Rui, Jiebo Luo, Simon Business School, social media,
Society & Culture
October 29, 2015 | 10:34 am

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.

topics: data science, Department of Computer Science, Henry Kautz, Jiebo Luo, Ran Pang, research finding, School of Arts and Sciences, social media, teenagers,
Society & Culture
February 5, 2015 | 03:45 pm

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.

topics: artificial intelligence, Department of Computer Science, featured-post, Hajim School of Engineering and Applied Sciences, ‪Jiebo Luo, research finding, social media,
Science & Technology
August 8, 2013 | 06:59 pm

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.

topics: Adam Sadilek, data science, Department of Computer Science, Hajim School of Engineering and Applied Sciences, Henry Kautz, public health, research finding, social media,
Science & Technology
February 8, 2013 | 04:55 pm

Tweets Predict Lifestyle Influence on Health

At the heart of their work is how they are training an algorithm to distinguish between tweets that suggest the person tweeting is sick and those that don’t.

topics: Adam Sadilek, announcements, public health, social media,
Science & Technology
September 6, 2012 | 03:43 pm

What’s Big Data Got to Do with It?

A lot, as it happens. Henry Kautz, chair of the computer science department, and his colleagues have shown that Twitter messages can be harnessed to predict the spread of infectious diseases, for example.

topics: Adam Sadilek, announcements, data science, Henry Kautz, social media,
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