Items where Author is "Russell-Rose, T."
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Marzieh, J. & Russell-Rose, T. 
ORCID: 0000-0003-4394-9876 (2025).
Exploring the Cognitive and Emotional Impact of Deceptive Patterns: An EEG, Eye-Tracking, and Sentiment Analysis of User Experience.
Interacting with computers,
article number iwaf046.
doi: 10.1093/iwc/iwaf046
Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Svarre, T. (2025).
Exploring Search Behaviors Across Expertise Levels: Graphical vs. Form-Based Interfaces.
Information Research,
Sundar, A., Russell-Rose, T. ORCID: 0000-0003-4394-9876, Kruschwitz, U. & Machleit, K. (2025).
The AI Interface: Designing for the Ideal Machine-Human Experience.
Computers in Human Behavior, 165,
article number 108539.
doi: 10.1016/j.chb.2024.108539
Svarre, T. & Russell-Rose, T. ORCID: 0000-0003-4394-9876 (2025).
Think outside the search box: A comparative study of visual and form-based query builders.
Journal of Information Science, 51(2),
pp. 354-367.
doi: 10.1177/01655515221138536
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.
In: Sheng, Q. Z., Dobbie, G., Jiang, J. , Zhang, X., Zhang, W. E., Manolopoulos, Y., Wu, J., Mansoor, W. & Ma, C. (Eds.),
Advanced Data Mining and Applications.
20th International Conference, ADMA 2024, 3-5 Dec 2024, Sydney, NSW, Australia.
doi: 10.1007/978-981-96-0847-8_15
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,
article number 09610006241291603.
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
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.
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
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. 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. & 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.
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
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