VLDB 2026 Research / reviewers in the wild / expert
Safira Nugroho
dblp:433/2764
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0003-5566-8665ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
social media analysis |
1.0 | 1 | 2026 | Influencers vs. Legacy Media on Instagram: Effects on Perceived Credibility and Following Intention · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
survey · 2.0mixed-methods experiment · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Influencers vs. Legacy Media on Instagram: Effects on Perceived Credibility and Following IntentionabstractSocial media has blurred the line between professional journalism and personality-driven commentary, yet we know little about how users evaluate credibility and engage with news from influencers and legacy media when they appear in the same feed. This short paper investigates how political ideology and news source type shape perceived credibility and follow intentions on Instagram. We conducted a mixed-methods experiment where U.S.-based participants (N=120) viewed a set of real news posts and rated the credibility of four accounts (two legacy media–based, two influencer-based), balanced by ideology (two left-leaning, two right-leaning), and indicated whether they would follow each account. Our findings suggest that perceived credibility on Instagram is multi-dimensional, rooted in ideological alignment, yet moderated by institutional signals and perceived authenticity. These insights highlight how platform design and source dynamics can reinforce selective exposure, with implications for both mitigating polarisation and strengthening trust in online news ecosystems. Cherie Sew, Safira Nugroho, Suwani Gunasekara, Adélaïde Genay, Ryan Kelly 0001, Jorge Gonçalves 0001 |
CHI | 2 |