Dana Warmsley

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 75 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #3,318 of 35,345 by trust here, #3,362 by citations
• Natural Language Processing — 19 citations into it; #828 of 5,688 by trust here, #818 by citations
• Information Systems — 14 citations into it; #531 of 8,771 by trust here, #332 by citations
• Safety, Robustness & Interpretability — 11 citations into it; #329 of 2,251 by trust here, #356 by citations
• Communication — 8 citations into it

Whom Dana Warmsley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zeerak Talat
2. Michael Elhadad
3. P. Burnap
4. Clayton J. Hutto
5. William Warner
6. Chikashi Nobata
7. Irene Kwok

Who trusts Dana Warmsley overall

1. Bertie Vidgen
2. Svetlana Kiritchenko
3. Mladen Karan
4. Maarten Sap
5. Isar Nejadgholi
6. Marcos Zampieri
7. Shervin Malmasi
8. Alexandra Olteanu
9. Anthony Rios
10. Valerio Basile

Papers from Dana Warmsley's perspective

Ordered by how strongly the researchers Dana Warmsley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Locate the Hate: Detecting Tweets against Blacks
2. Detecting Hate Speech on the World Wide Web
3. Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
4. Hate Speech Detection with Comment Embeddings (The Web Conference)
5. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
6. Abusive Language Detection in Online User Content
7. Analyzing the Targets of Hate in Online Social Media
8. Modeling the Detection of Textual Cyberbullying (The Social Mobile Web)
9. VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
10. Improving Cyberbullying Detection with User Context

Their papers

• Automated Hate Speech Detection and the Problem of Offensive Language (2017) — 3,212 citations
• Understanding Abuse: A Typology of Abusive Language Detection Subtasks (2017) — 524 citations