Demo Data from EDBT 2026 / reviewers in the wild / expert
Renita Washburn
dblp:344/9755
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0002-7649-3417ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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.
| Network and information security
2 papers |
Privacy and data protection · 56% Usable security · 44% | |
| Human-computer interaction and pervasive computing
2 papers |
Collaborative and social computing · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › social computing
peer influence |
1.0 | 1 | 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire · WWW 2026 |
Collaborative and social computing
social media |
1.0 | 1 | 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire · WWW 2026 |
Usable security › usable privacy
privacy decision-making |
1.0 | 1 | 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire · WWW 2026 |
Privacy and data protection
social network privacy |
1.0 | 1 | 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire · WWW 2026 |
Privacy and data protection › privacy management › multi-user privacy
interdependent privacy |
0.7 | 1 | 2023 | Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differences · CHI 2023 |
Usable security › usable privacy
privacy nudges |
0.3 | 1 | 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to Backfire · WWW 2026 |
Collaborative and social computing › social media › media sharing
social media sharing |
0.2 | 1 | 2023 | Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differences · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
experimental study · 2.0narrative transportation theory · 1.3educational video · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to BackfireabstractAlthough extensive research has examined social media nudges to influence privacy, comparably less work investigates mechanisms of peer-to-peer influence, or the ways in which peer groups can amplify or dampen privacy considerations. This study takes an experimental approach to examining how people are influenced to share potentially sensitive photos of others without consent---a common practice on social media---by comparing the effects of encouraging, discouraging, or mixed feedback social media comments. The results show that discouraging peer comments reduce the sharing of others' photos when content portrayed targets negatively. However, peer influence backfired among users with a history of online misconduct, with both encouraging and discouraging comments leading to more photo sharing. Moreover, a mix of comments that both discouraged and encouraged sharing led to the highest levels of sharing. Linking to prior work, this research establishes a broader understanding of when privacy nudges are likely to backfire on social media: for users with past online misconduct and when information goes against social norms. The findings advance understanding of how peer-to-peer dynamics shape online information flows and highlight the complex effects of Web-based social feedback on privacy decisions. These insights provide actionable design recommendations for platforms to foster responsible, privacy-conscious sharing norms. Tangila Islam Tanni, Renita Washburn, Yan Solihin, Mary Jean Amon |
WWW | 2 |
| 2023 | Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differencesabstractAlthough a great deal of research has examined interventions to help users protect their own information online, less work has examined methods for reducing interdependent privacy (IDP) violations on social media (i.e., sharing of other people's information). This study tested the effectiveness of concept-based (i.e., general information), fact-based (i.e., statistics), and narrative-based (i.e., stories) educational videos in altering IDP-relevant attitudes and multimedia sharing behaviors. Our study revealed concept and fact videos reduced sharing of social media content that portrayed people negatively. The narrative intervention backfired and increased sharing among participants who did not believe IDP violations to be especially serious; however, the narrative intervention decreased sharing for participants who rated IDP violations as more serious. Notably, our study found participants preferred narrative-based interventions with real world examples, despite other strategies more effectively reducing sharing. Implications for narrative transportation theory and advancing bottom-up (i.e., user-centered) psychosocial interventions are discussed. Renita Washburn, Tangila Islam Tanni, Yan Solihin, Apu Kapadia, Mary Jean Amon |
CHI | 1 |