Kevin Knight

Deploys machine translation, natural language processing, and unsupervised learning to discover meaning in language, from enciphered manuscripts to everyday speech.

ISI News

Yigal Arens Receives Digital Government Honor

ISI Intelligent Systems Division Director Yigal Arens has been honored for distinguished service by the Digital Government Society (DGS), which fosters innovative deployment of technology and information to support public policy, upgrade government operations and engage citizens worldwide.

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What's Going On: Handling Sensor Changes and Failures

Craig Knoblock is best known for research on a large scale: semantic alignment of data in the widely used open-source tool called Karma, geospatial mapping techniques used by the Army in Iraq, collaboration on a commercial web data extraction platform, and recent, groundbreaking progress on international human trafficking with Pedro Szekely.

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What's Going On: Teaching Data Science with Data Science

Call it (data science)2. In a February, 2017 seminar, Jose Luis Ambite described a project that uses data science—a concept unifying statistics, data analysis, related methods and their results—to teach biomedical researchers about data science.

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Feature Story

What's Going On: Of Bots and Human Behavior

April 18, 2017

Emilio Ferrara's research on social bots was compelling even before the current Congressional investigations into likely Russian hacks surrounding the 2016 US presidential election.

More than 100 media outlets, including The New York Times, CBS News, The Wall Street Journal and UK's Daily Mail, have covered Ferrara's work in the past month. And in a March, 2017 Senate intelligence hearing into cybersecurity vulnerabilities, experts flagged the steep rise in social media bots. Ferrara initially had reported those suspicious activities, in the journal First Monday, one day before last year's election.

Bots are scripts that impersonate real people while operating automatically, often with a specific agenda - in this case, tearing down or building up Hillary Clinton, Donald Trump or their respective political platforms. According to Ferrara, bots are now so pervasive that they may distort public opinion far more than is commonly believed, and reflect planted, predetermined sentiments toward their targets.

Where Twitter estimated in 2015 that five percent of its accounts were bots, Ferrara concluded that 10 percent is a conservative estimate - and 15 percent is more realistic. What's more, he found that bots, which operate around the clock, generate a far larger percentage of Twitter activity than their human counterparts. People also turn out to be mediocre at distinguishing human- and bot-generated tweets.

In March, Ferrara gave ISIers a deeper look into the methodology and analytics behind his team's results. "Bots and Human Behavior in Techno- social Systems" was the latest in ISI's "What's Going On" series, which expands researchers' knowledge of work taking place Institute-wide. The lively talk was attended by about 30 colleagues in ISI's Marina del Rey, California and Arlington, Virginia locales.Read More

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May 04Yan Liu, USCAI Seminar

Deep Learning Models for Time Series Data Analysis with Applications to Healthcare

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Representation Learning for Human Affect Recognition (PhD Proposal Practice Talk)

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Feature Story

What's Going On: Of Bots and Human Behavior

April 18, 2017

Emilio Ferrara's research on social bots was compelling even before the current Congressional investigations into likely Russian hacks surrounding the 2016 US presidential election.

More than 100 media outlets, including The New York Times, CBS News, The Wall Street Journal and UK's Daily Mail, have covered Ferrara's work in the past month. And in a March, 2017 Senate intelligence hearing into cybersecurity vulnerabilities, experts flagged the steep rise in social media bots. Ferrara initially had reported those suspicious activities, in the journal First Monday, one day before last year's election.

Bots are scripts that impersonate real people while operating automatically, often with a specific agenda - in this case, tearing down or building up Hillary Clinton, Donald Trump or their respective political platforms. According to Ferrara, bots are now so pervasive that they may distort public opinion far more than is commonly believed, and reflect planted, predetermined sentiments toward their targets.

Where Twitter estimated in 2015 that five percent of its accounts were bots, Ferrara concluded that 10 percent is a conservative estimate - and 15 percent is more realistic. What's more, he found that bots, which operate around the clock, generate a far larger percentage of Twitter activity than their human counterparts. People also turn out to be mediocre at distinguishing human- and bot-generated tweets.

In March, Ferrara gave ISIers a deeper look into the methodology and analytics behind his team's results. "Bots and Human Behavior in Techno- social Systems" was the latest in ISI's "What's Going On" series, which expands researchers' knowledge of work taking place Institute-wide. The lively talk was attended by about 30 colleagues in ISI's Marina del Rey, California and Arlington, Virginia locales.Read More