National ICT Australia Ltd. / GE / Twitter / YouTube / Facebook / IBM Research Labs / CNN / Marathon / /
Country
Venezuela / Mexico / Chile / France / Japan / United States / United Kingdom / India / Australia / /
Currency
USD / / /
Event
Natural Disaster / /
Facility
Mass General Hospital / Indraprastha Institute of Information Technology / /
IndustryTerm
e-crimes / machine learning algorithms / Internet resources / interaction network / certain social network / e-crime / telephone lines / online social websites / shortener services / social networking websites / social media websites / supervised machine learning algorithms / affective solutions / decision tree classification algorithms / social media coverage / web interface / social media / social media content / mobile phone devices / mass media / online social media / social media data / social networks / media i.e. / search engine / /
MarketIndex
S&P 500 / Dow 30 / /
Movie
Hide and Seek / /
NaturalFeature
Twitter stream / /
OperatingSystem
Android / /
Organization
Boston Police / Indraprastha Institute of Information Technology / White House / Mass General Hospital / Boston Marathon Relief Fund / /
Person
Barack Obama / Sean Collier / Bin Laden / Martin Richard / Dzhokhar Tsarnaev / Krystle Campbell / /
Position
president / RT / tsar / Officer / /
Product
iPhone / Streaming / R2 / /
ProvinceOrState
Rhode Island / /
SportsEvent
the Boston marathon / Boston Marathon / /
Technology
machine learning algorithms / Information Technology / API / supervised machine learning algorithms / search engine / machine learning / Android / html / mobile devices / cellular telephone / using J48 decision tree classification algorithms / /
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter Aditi Gupta∗ , Hemank Lamba∗∗ , Ponnurangam Kumaraguru∗ ∗ Indraprastha Institute of Information Technology, Delhi, India