EDBT 2026 Demo / reviewers in the wild / expert

Rob Ennals

dblp:70/8024 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Network and information security
1 paper
Web and mobile security · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › fact-checking
claim matching		 0.112010
Highlighting disputed claims on the web · WWW 2010
Information retrieval
text analysis		 0.112010
Highlighting disputed claims on the web · WWW 2010
Information retrieval
web search		 0.112010
Highlighting disputed claims on the web · WWW 2010
Web and mobile security
misinformation		 0.012010
Highlighting disputed claims on the web · WWW 2010

Methods — techniques the papers use, named apart from their topics

text similarity · 0.2
YearPublicationVenuePosition
2010 Highlighting disputed claims on the web
abstract
We describe Dispute Finder, a browser extension that alerts a user when information they read online is disputed by a source that they might trust. Dispute Finder examines the text on the page that the user is browsing and highlights any phrases that resemble known disputed claims. If a user clicks on a highlighted phrase then Dispute Finder shows them a list of articles that support other points of view.
Rob Ennals, Beth Trushkowsky, John Mark Agosta
 WWW1