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Ahmad Abu-Akel

dblp:294/1346 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
opinion dynamics
0.512021
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
0.512021
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
0.512021
Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial · WWW 2021
Collaborative and social computing
social media
0.112021
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
YearPublicationVenuePosition
2021 Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial
abstract
Motivated 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
WWW2