What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- World Wide Web
Carlos Castillo mostly deals with Social media, World Wide Web, Information retrieval, Microblogging and Data science.
The various areas that Carlos Castillo examines in his Social media study include Variety, Information extraction, Data mining and Set.
Many of his research projects under World Wide Web are closely connected to Focus with Focus, tying the diverse disciplines of science together.
His Information retrieval study frequently draws connections between related disciplines such as Web page.
His Microblogging research is multidisciplinary, incorporating elements of Crowdsourcing and Lexicon.
His Data science research integrates issues from Context, Discriminative model, Online advertising and Big data.
His most cited work include:
- Information credibility on twitter (1363 citations)
- Finding high-quality content in social media (1007 citations)
- Twitter under crisis: can we trust what we RT? (726 citations)
What are the main themes of his work throughout his whole career to date?
Carlos Castillo focuses on World Wide Web, Social media, Information retrieval, Data science and Artificial intelligence.
He studies Microblogging, a branch of Social media.
His Information retrieval research includes elements of Data mining and Web modeling.
His biological study spans a wide range of topics, including Machine learning and Natural language processing.
His biological study deals with issues like Query expansion, which deal with fields such as Query language.
His Search engine study integrates concerns from other disciplines, such as Ranking and The Internet.
He most often published in these fields:
- World Wide Web (35.86%)
- Social media (29.08%)
- Information retrieval (19.12%)
What were the highlights of his more recent work (between 2017-2020)?
- Social media (29.08%)
- Data science (12.75%)
- Artificial intelligence (11.55%)
In recent papers he was focusing on the following fields of study:
Social media, Data science, Artificial intelligence, Ranking and Machine learning are his primary areas of study.
Carlos Castillo integrates Social media with Mainstream in his study.
His Data science study deals with Variety intersecting with Product and Web application.
His Classifier and Interpretability study in the realm of Artificial intelligence connects with subjects such as Justice and Statement.
The concepts of his Ranking study are interwoven with issues in Risk analysis and Search engine.
His study looks at the intersection of Search engine and topics like Transparency with Information retrieval.
Between 2017 and 2020, his most popular works were:
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. (133 citations)
- The Effect of Extremist Violence on Hateful Speech Online (35 citations)
- Processing Social Media Messages in Mass Emergency: Survey Summary (31 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- World Wide Web
His scientific interests lie mostly in Social media, Data science, Ranking, Learning to rank and Public policy.
His research integrates issues of Digital media, Information overload and Media studies in his study of Social media.
His Information overload research includes themes of Risk analysis, Service and Ranking.
His research is interdisciplinary, bridging the disciplines of Parsing and Data science.
His work carried out in the field of Ranking brings together such families of science as Transparency and Information retrieval, Search engine.
Carlos Castillo has included themes like Training set, Relevance and Measure in his Learning to rank study.
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