Demo Data from EDBT 2026 / reviewers in the wild / expert
Brian Waismeyer
dblp:217/9180
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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.
| Network and information security
1 paper |
Network security · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security
spam |
0.3 | 1 | 2018 | Examining the Demand for Spam: Who Clicks? · CHI 2018 |
Methods — techniques the papers use, named apart from their topics
large-scale log analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Examining the Demand for Spam: Who Clicks?abstractDespite significant advances in automated spam detection, some spam content manages to evade detection and engage users. While the spam supply chain is well understood through previous research, there is little understanding of spam consumers. We focus on the demand side of the spam equation examining what drives users to click on spam via a large-scale analysis of de-identified, aggregated Facebook log data (n=600,000). We find (1) that the volume of spam and clicking norms in a users' network are significantly related to individual consumption behavior; (2) that more active users are less likely to click, suggesting that experience and internet skill (weakly correlated with activity level) may create more savvy consumers; and (3) we confirm previous findings about the gender effect in spam consumption, but find this effect largely corresponds to spam topics. Our findings provide practical insights to reduce demand for spam content, thereby affecting spam profitability. Elissa M. Redmiles, Neha Chachra, Brian Waismeyer |
CHI | 3 |