Fabrício Benevenuto mostly deals with World Wide Web, Internet privacy, Social media, Social network and Popularity. His World Wide Web research includes themes of Feature and Information retrieval. Fabrício Benevenuto has researched Internet privacy in several fields, including Session, Order, Cybercrime and Reverse engineering.
His Social media research integrates issues from Online video, Space, Phishing, Variety and Data science. The Social network study combines topics in areas such as Authentication and News aggregator. His Popularity study integrates concerns from other disciplines, such as Sentiment analysis, Open API, Social search, Opinion leadership and Key.
His scientific interests lie mostly in World Wide Web, Social media, Internet privacy, Popularity and Sentiment analysis. He performs multidisciplinary study in the fields of World Wide Web and Dynamics via his papers. His Social media research is multidisciplinary, incorporating perspectives in Space, Advertising, Social system, Data science and Set.
The concepts of his Internet privacy study are interwoven with issues in Misinformation, Scale and Anonymity. Fabrício Benevenuto interconnects Open API, Web service, Upload, Information retrieval and Measure in the investigation of issues within Popularity. His studies in Sentiment analysis integrate themes in fields like Context, Key and Field.
His main research concerns Social media, Internet privacy, Misinformation, Advertising and Fake news. His Social media research is multidisciplinary, relying on both Brazilian Portuguese and Set. His work carried out in the field of Set brings together such families of science as World Wide Web and Personally identifiable information.
His Internet privacy research is multidisciplinary, incorporating elements of Affect and Lexicon. His research in Misinformation tackles topics such as Encryption which are related to areas like Fact checking and Popularity. His Social system study combines topics in areas such as Space and Social network.
Fabrício Benevenuto mainly investigates Social media, Internet privacy, Distribution, Misinformation and Leverage. He performs multidisciplinary study on Social media and Emigration in his works. Fabrício Benevenuto combines topics linked to Targeted advertising with his work on Internet privacy.
His work in Distribution incorporates the disciplines of Measure, Clothing, Cultural distance, Order and Context. Fabrício Benevenuto has included themes like Fake news and Agency in his Misinformation study. His studies link Data science with Leverage.
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Measuring User Influence in Twitter: The Million Follower Fallacy
Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi.
international conference on weblogs and social media (2010)
Characterizing user behavior in online social networks
Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida.
internet measurement conference (2009)
Understanding and combating link farming in the twitter social network
Saptarshi Ghosh;Bimal Viswanath;Farshad Kooti;Naveen Kumar Sharma.
the web conference (2012)
Comparing and combining sentiment analysis methods
Pollyanna Gonçalves;Matheus Araújo;Fabrício Benevenuto;Meeyoung Cha.
conference on online social networks (2013)
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
Filipe N Ribeiro;Filipe N Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Marcos André Gonçalves.
EPJ Data Science (2016)
The tube over time: characterizing popularity growth of youtube videos
Flavio Figueiredo;Fabrício Benevenuto;Jussara M. Almeida.
web search and data mining (2011)
Detecting spammers and content promoters in online video social networks
Fabrício Benevenuto;Tiago Rodrigues;Virgílio Almeida;Jussara Almeida.
international acm sigir conference on research and development in information retrieval (2009)
Dengue surveillance based on a computational model of spatio-temporal locality of Twitter
Janaína Gomide;Adriano Veloso;Wagner Meira;Virgílio Almeida.
web science (2011)
Cognos: crowdsourcing search for topic experts in microblogs
Saptarshi Ghosh;Naveen Sharma;Fabricio Benevenuto;Niloy Ganguly.
international acm sigir conference on research and development in information retrieval (2012)
Supervised Learning for Fake News Detection
Julio C. S. Reis;Andre Correia;Fabricio Murai;Adriano Veloso.
IEEE Intelligent Systems (2019)
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