Demo Data from VLDB 2026 / reviewers in the wild / expert
Jamar L. Sullivan Jr.
dblp:292/6205
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% | |
| Network and information security
1 paper |
Usable security · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › security education
security advice |
0.1 | 1 | 2021 | Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters · CHI 2021 |
Methods — techniques the papers use, named apart from their topics
survey · 1.0document analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text DataabstractJamar Sullivan Jr., Will Brackenbury, Andrew McNutt, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael Littman, Chenhao Tan, Blase Ur. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022. Jamar L. Sullivan Jr., Will Brackenbury, Andrew McNut, Kevin Bryson 0002, Kwam Byll, Yuxin Chen 0001, Michael L. Littman, Chenhao Tan, Blase Ur |
NAACL-HLT | 1 |
| 2021 | Understanding the Security and Privacy Advice Given to Black Lives Matter ProtestersabstractIn 2020, there were widespread Black Lives Matter (BLM) protests in the U.S. Because many attendees were novice protesters, organizations distributed guides for staying safe at a protest, often including security and privacy advice. To understand what advice novice protesters are given, we collected 41 safety guides distributed during BLM protests in spring 2020. We identified 13 classes of digital security and privacy advice in these guides. To understand whether this advice influences protesters, we surveyed 167 BLM protesters. Respondents reported an array of security and privacy concerns, and their concerns were magnified when considering fellow protesters. While most respondents reported being aware of, and following, certain advice (e.g., choosing a strong phone passcode), many were unaware of key advice like using end-to-end encrypted messengers and disabling biometric phone unlocking. Our results can guide future advice and technologies to help novice protesters protect their security and privacy. Maia J. Boyd, Jamar L. Sullivan Jr., Marshini Chetty, Blase Ur |
CHI | 2 |