ORCID Profile
0000-0001-9913-433X
Current Organisation
RMIT University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 3 Research Topics
ANZSRC Field of Research (FoR)
Library and Information Studies | Information Retrieval and Web Search
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences |
Related Links
Publications
Results presentation methods for a spoken conversational search system
Publisher: ACM
Date: 22-10-2015
Investigating the learning process in job search: A longitudinal study
Publisher: ACM
Date: 03-11-2019
Learning similarity functions for topic detection in online reputation monitoring
Publisher: ACM
Date: 03-07-2014
ORMA: A Semi-automatic Tool for Online Reputation Monitoring in Twitter
Publisher: Springer International Publishing
Date: 2014
Watch 'n' Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts
Publisher: IEEE
Date: 10-2020
An axiomatic analysis of diversity evaluation metrics: Introducing the rank-biased utility metric
Publisher: ACM
Date: 27-06-2018
A decentralized model for self-managed web services applications
Publisher: Springer Berlin Heidelberg
Date: 2009
Designing and Evaluating Presentation Strategies for Fact-Checked Content
Publisher: ACM
Date: 21-10-2023
Informing the design of spoken conversational search
Publisher: ACM Press
Date: 2018
A Living Lab Study of Query Amendment in Job Search
Publisher: ACM
Date: 27-06-2018
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval
Publisher: Springer International Publishing
Date: 2016
How do people interact in conversational speech-only search tasks: A preliminary analysis
Publisher: ACM
Date: 07-03-2017
A formal account of effectiveness evaluation and ranking fusion
Publisher: ACM
Date: 10-09-2018
Crowdsourcing truthfulness: The impact of judgment scale and assessor bias
Publisher: Springer International Publishing
Date: 2020
Towards understanding the impact of length in web search result summaries over a speech-only communication channel
Publisher: ACM
Date: 09-08-2015
A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-Box Systems: A Case Study with COVID-Related Searches
Publisher: Springer International Publishing
Date: 2022
Overview of RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation Management
Publisher: Springer International Publishing
Date: 2014
Meta-evaluation of dynamic search: How do metrics capture topical relevance, diversity and user effort?
Publisher: Springer International Publishing
Date: 2019
Towards real-time summarization of scheduled events from twitter streams
Publisher: ACM
Date: 25-06-2012
Intelligent task recognition: Towards enabling productivity assistance in daily life
Publisher: ACM
Date: 08-06-2020
A comparison of filtering evaluation metrics based on formal constraints
Publisher: Springer Science and Business Media LLC
Date: 04-2019
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Publisher: ACM
Date: 25-07-2020
Real-time classification of twitter trends
Publisher: Wiley
Date: 09-05-2014
DOI: 10.1002/ASI.23186
Processing social media in real-time
Publisher: Elsevier BV
Date: 05-2019
CAIR'18
Publisher: Association for Computing Machinery (ACM)
Date: 17-01-2019
Abstract: The Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18) was held on July 12th, 2018 in Ann Arbor, Michigan, USA in association with SIGIR 2018, the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. CAIR'18 brought together academic and industry researchers to present and discuss new research on conversational approaches to search. This report provides a summary of the workshop consisting of two keynote talks, five oral presentations, and a joint panel discussion with the KG4IR workshop.
Identifying entity aspects in microblog posts
Publisher: ACM
Date: 12-08-2012
Component-based Analysis of Dynamic Search Performance
Publisher: Association for Computing Machinery (ACM)
Date: 22-11-2022
DOI: 10.1145/3483237
Abstract: In many search scenarios, such as exploratory, comparative, or survey-oriented search, users interact with dynamic search systems to satisfy multi-aspect information needs. These systems utilize different dynamic approaches that exploit various user feedback granularity types. Although studies have provided insights about the role of many components of these systems, they used black-box and isolated experimental setups. Therefore, the effects of these components or their interactions are still not well understood. We address this by following a methodology based on Analysis of Variance (ANOVA). We built a Grid Of Points that consists of systems based on different ways to instantiate three components: initial rankers, dynamic rerankers, and user feedback granularity. Using evaluation scores based on the TREC Dynamic Domain collections, we built several ANOVA models to estimate the effects. We found that (i) although all components significantly affect search effectiveness, the initial ranker has the largest effective size, (ii) the effect sizes of these components vary based on the length of the search session and the used effectiveness metric, and (iii) initial rankers and dynamic rerankers have more prominent effects than user feedback granularity. To improve effectiveness, we recommend improving the quality of initial rankers and dynamic rerankers. This does not require eliciting detailed user feedback, which might be expensive or invasive.
Second international workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018
Publisher: ACM
Date: 27-06-2018
Classifying trending topics: A typology of conversation triggers on Twitter
Publisher: ACM
Date: 24-10-2011
Harnessing Semantics for Answer Sentence Retrieval
Publisher: ACM
Date: 22-10-2015
Filter keywords and majority class strategies for company name disambiguation in twitter
Publisher: Springer Berlin Heidelberg
Date: 2011
Learning about work tasks to inform intelligent assistant design
Publisher: ACM
Date: 08-03-2019
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Publisher: ACM
Date: 18-07-2023
Discovering filter keywords for company name disambiguation in twitter
Publisher: Elsevier BV
Date: 09-2013
Towards a model for spoken conversational search
Publisher: Elsevier BV
Date: 03-2020
The COVID-19 Infodemic
Publisher: Pan American Health Organization
Date: 06-07-2021
Overview of RepLab 2013: Evaluating Online Reputation Monitoring Systems
Publisher: Springer Berlin Heidelberg
Date: 2013
Using Audio Transformations to Improve Comprehension in Voice Question Answering
Publisher: Springer International Publishing
Date: 2019
Towards Detecting Tonic Information Processing Activities with Physiological Data
Publisher: ACM
Date: 08-10-2023
Active learning for entity filtering in microblog streams
Publisher: ACM
Date: 09-08-2015
Third international workshop on conversational approaches to information retrieval (CAIR'20): Full-day Workshop at CHIIR 2020
Publisher: ACM
Date: 14-03-2020
Extracting audio summaries to support effective spoken document search
Publisher: Wiley
Date: 28-06-2017
DOI: 10.1002/ASI.23831
No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter
Publisher: Public Library of Science (PLoS)
Date: 10-08-2021
DOI: 10.1371/JOURNAL.PONE.0255702
Abstract: Like other disease outbreaks, the COVID-19 pandemic has led to the rapid generation and dissemination of misinformation and fake news. We investigated whether subscribers to a fact checking newsletter (n = 1397) were willing to share possible misinformation, and whether predictors of possible misinformation sharing are the same as for general s les. We also investigated predictors of willingness to have a COVID-19 vaccine and found that although vaccine acceptance was high on average, it decreased as a function of lower belief in science and higher conspiracy mentality. We found that 24% of participants had shared possible misinformation and that this was predicted by a lower belief in science. Like general s les, our participants were typically motivated to share possible misinformation due to interest in the information, or to seek a second opinion about claim veracity. However, even if information is shared in good faith and not for the purpose of deceiving or misleading others, the spread of misinformation is nevertheless highly problematic. Exposure to misinformation engenders faulty beliefs in others and undermines efforts to curtail the spread of COVID-19 by reducing adherence to social distancing measures and increasing vaccine hesitancy.
Imagining future digital assistants at work: A study of task management needs
Publisher: Elsevier BV
Date: 12-2022
Desirable properties for diversity and truncated effectiveness metrics
Publisher: ACM
Date: 11-12-2018
SpeakerLDA: Discovering topics in transcribed multi-speaker audio contents
Publisher: ACM Press
Date: 2015
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale
Publisher: Elsevier BV
Date: 11-2021
Related Organisations
Signal AI
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
Fair And Transparent Information Access In Spoken Conversational Assistants
Start Date: 2020
End Date: 2022
Funder: Australian Research Council
View Funded ActivityDiscovery Early Career Researcher Award - Grant ID: DE200100064
Start Date: 11-2020
End Date: 10-2024
Amount: $422,022.00
Funder: Australian Research Council
View Funded Activity