Demo Data from EDBT 2026 / reviewers in the wild / expert
Ahmad Abu-Akel
dblp:294/1346
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 since 2021Applied, interdisciplinary, general and emerging 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
opinion dynamics |
0.5 | 1 | 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial · WWW 2021 |
Computational social science and digital humanities › opinion dynamics
opinion polarization |
0.5 | 1 | 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial · WWW 2021 |
Computational social science and digital humanities › causal inference
randomized controlled trial |
0.5 | 1 | 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial · WWW 2021 |
Collaborative and social computing
social media |
0.1 | 1 | 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial · WWW 2021 |
Methods — techniques the papers use, named apart from their topics
survey · 1.0randomized controlled trial · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled TrialabstractMotivated by the goal of designing interventions for softening polarized opinions on the Web, and building on results from psychology, we hypothesized that people would be moved more easily towards opposing opinions when the latter were voiced by a celebrity they like, rather than by a celebrity they dislike. We tested this hypothesis in a survey-based randomized controlled trial in which we exposed respondents to opinions that were randomly assigned to one of four spokespersons each: a disagreeing but liked celebrity, a disagreeing and disliked celebrity, a disagreeing expert, and an agreeing but disliked celebrity. After the treatment, we measured changes in the respondents’ opinions, empathy towards the spokespersons, and use of affective language. Andreas Spitz, Ahmad Abu-Akel, Robert West 0001 |
WWW | 2 |