Mark Tremayne
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #30,195 of 35,345 by trust here, #17,776 by citations
Whom Mark Tremayne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mark Tremayne overall
Papers from Mark Tremayne's perspective
Ordered by how strongly the researchers Mark Tremayne trusts endorse each paper. Same corpus, a different order for every researcher.
- Information credibility on twitter (The Web Conference)
- Creating Subjective and Objective Sentence Classifiers from Unannotated Texts (Conference on Intelligent Text Processing and Computational Linguistics)
- Learning Extraction Patterns for Subjective Expressions
- Rumor has it: Identifying Misinformation in Microblogs (Conference on Empirical Methods in Natural Language Processing)
- Meme-tracking and the dynamics of the news cycle
- Rumor Cascades (International Conference on Web and Social Media)
- Computational Fact Checking from Knowledge Networks (PLoS ONE)
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- Fact Checking: Task definition and dataset construction
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Their papers
- ClaimBuster: The First-ever End-to-end Fact-checking System (2017) — 298 citations
- Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster (2017) — 379 citations