Items where Author is "Russell-Rose, T."
Article
Sundar, A., Russell-Rose, T. 
ORCID: 0000-0003-4394-9876, Kruschwitz, U. & Machleit, K. (2024).
The AI Interface: Designing for the Ideal Machine-Human Experience.
Computers in Human Behavior,
article number 108539.
doi: 10.1016/j.chb.2024.108539
Svarre, T. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2024).
An evaluation of a visual interface for supporting query formulation in scholarly searching.
Journal of Librarianship and Information Science,
doi: 10.1177/09610006241291603
Panchendrarajan, R., Popova, G. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2024).
Crisis talk: analysis of the public debate around the energy crisis and cost of living.
Social Network Analysis and Mining, 14(1),
article number 74.
doi: 10.1007/s13278-024-01233-w
Svarre, T. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2022).
Think outside the search box: A comparative study of visual and form-based query builders.
Journal of Information Science,
doi: 10.1177/01655515221138536
MacFarlane, A. ORCID: 0000-0002-8057-0737, Russell-Rose, T. & Shokraneh, F. (2022).
Search Strategy Formulation for Systematic Reviews: issues, challenges and opportunities.
Intelligent Systems with Applications, 15,
article number 200091.
doi: 10.1016/j.iswa.2022.200091
Russell-Rose, T. ORCID: 0000-0003-4394-9876, Gooch, P. & Kruschwitz, U. (2021).
Interactive query expansion for professional search applications.
Business Information Review, 38(3),
pp. 127-137.
doi: 10.1177/02663821211034079
Shokraneh, F. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2020).
Lessons from COVID-19 to Future Evidence Synthesis Efforts: First Living Search Strategy and Out of Date Scientific Publishing and Indexing Industry.
Journal of Clinical Epidemiology, 123,
pp. 171-173.
doi: 10.1016/j.jclinepi.2020.04.014
Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2020).
Technological solutions for reproducibility and “showing of work”: a response to “Redundancy of Terms Is Not an Error but Plays a Positive Role in Composing Search Strategies”.
Journal of the Medical Library Association, 108(3),
pp. 498-499.
doi: 10.5195/jmla.2020.936
Russell-Rose, T., Lamantia, J. & Makri, S. (2014). Defining and applying a language for discovery. Lecture Notes in Computer Science, 8382, pp. 3-28. doi: 10.1007/978-3-319-12093-5_1
Book Section
Georgiou, D., MacFarlane, A. & Russell-Rose, T. (2015). Extracting Sentiment from Healthcare Survey Data: An Evaluation of Sentiment Analysis Tools. In: 2015 Science and Information Conference (SAI). . IEEE. doi: 10.1109/SAI.2015.7237168
Conference or Workshop Item
Hussain, S., Khattak, A. S., Abbasi, R. A. , Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Chinthalapati, V. L. R. (2024).
Identification of Targets in Disinformation News Articles Using Supervised Machine Learning.
Paper presented at the 20th International Conference, ADMA 2024, 3-5 Dec 2024, Sydney, NSW, Australia.
doi: 10.1007/978-981-96-0847-8_15
Sami, I., Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Soldatova, L. (2023).
A Cognitive Theoretical Approach of Rhetorical News Analysis.
In:
CEUR Workshop Proceedings.
Sixth Workshop on Narrative Extraction From Texts, 2 Apr 2023, Dublin, Ireland.
Sami, I., Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Soldatova, L. (2022).
Comprehensive Terms Board Visualization for News Analysis and Editorial Story Planning.
In:
CEUR Workshop Proceedings.
Sixth Workshop on Narrative Extraction From Texts, 2 Apr 2023, Dublin, Ireland.
Sami, I., Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Soldatova, L. (2022).
Comprehensive contextual visualization of a news archive for aiding story planning.
In:
CEUR Workshop Proceedings.
Fifth Workshop on Narrative Extraction From Texts, 10 Apr 2022, Stavanger, Norway.
Russell-Rose, T. & MacFarlane, A. ORCID: 0000-0002-8057-0737 (2020).
Towards Explainability in Professional Search.
Paper presented at the The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020), 30 July 2020, Xi'an, China.