Didi Surian
Biographic Data
| ID | 6069294 |
|---|---|
| NAME | Didi Surian |
| GIVEN NAMES | Didi |
| FAMILY NAME | Surian |
| SIGNATURE | SURIAN D |
| AFFILIATIONS | Macquarie University |
| ORCID | 0000-0003-2299-2971 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Recommending research articles to consumers of online vaccination information
Online health communications often provide biased interpretations of evidence and have unreliable links to the source research. We tested the feasibility of a tool for matching web pages to their source evidence. From 207,538 eligible vaccination-related PubMed articles, we evaluated several approaches using 3,573 unique links to web pages from Altmetric. We evaluated methods for ranking the source articles for vaccine-related research described …
Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States
Objectives. To examine the role that bots play in spreading vaccine information on Twitter by measuring exposure and engagement among active users from the United States. Methods. We sampled 53 188 US Twitter users and examined who they follow and retweet across 21 million vaccine-related tweets (January 12, 2017–December 3, 2019). Our analyses compared bots to human-operated accounts and vaccine-critical tweets to other vaccine-related tweets. R…
Conversational agents in healthcare
Detection of Spatiotemporal Outlier Events in Social Networks
Collaboration Patterns in Software Developer Network
Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States
Objectives. To examine the role that bots play in spreading vaccine information on Twitter by measuring exposure and engagement among active users from the United States. Methods. We sampled 53 188 US Twitter users and examined who they follow and retweet across 21 million vaccine-related tweets (January 12, 2017–December 3, 2019). Our analyses compared bots to human-operated accounts and vaccine-critical tweets to other vaccine-related tweets. R…
Detection of Spatiotemporal Outlier Events in Social Networks
Collaboration Patterns in Software Developer Network
Conversational agents in healthcare
Recommending research articles to consumers of online vaccination information
Online health communications often provide biased interpretations of evidence and have unreliable links to the source research. We tested the feasibility of a tool for matching web pages to their source evidence. From 207,538 eligible vaccination-related PubMed articles, we evaluated several approaches using 3,573 unique links to web pages from Altmetric. We evaluated methods for ranking the source articles for vaccine-related research described …
Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States
Objectives. To examine the role that bots play in spreading vaccine information on Twitter by measuring exposure and engagement among active users from the United States. Methods. We sampled 53 188 US Twitter users and examined who they follow and retweet across 21 million vaccine-related tweets (January 12, 2017–December 3, 2019). Our analyses compared bots to human-operated accounts and vaccine-critical tweets to other vaccine-related tweets. R…
Computer Science (3 works) · Misinformation and Its Impacts (2 works) · Vaccine Coverage and Hesitancy (2 works) · Advanced Graph Neural Networks (1 works) · Anomaly detection (1 works) · Anomaly Detection Techniques and Applications (1 works) · Artificial Intelligence (1 works) · Cartography (1 works) · Complex Network Analysis Techniques (1 works) · Confidence interval (1 works)