Research output per year
Research output per year
Personal profile
Research interests
I enjoy a variety of research and often find myself saying 'Oh... that would be an interesting study' and 'I wonder how we could prove that', with the cornerstone of my research interest being artificial intelligence, online human behaviour and psychology, echo chambers and natural language processing techniques looking into stance, topic and sentiment analysis. My current work involves identifying and reducing the negative effects of online echo chambers using artificial intelligence and natural language processing models to improve peoples' diversity of reading and thought.
Keywords
- Online Echo Chambers
- Natural Language Processing
- Stance Detection
- Artificial Intelligence
- Human Behaviour Change
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An automated Home Secretary: Evaluating the ability of large language models to understand extremist conversations
Stevenson, J., Gassmann, L. & Edwards, M., 5 Mar 2025, (Accepted/In press) Cybersecurity: 9th European Interdisciplinary Cybersecurity Conference, EICC 2025, Rennes, France, June 18–19, 2025, Proceedings. Springer, (Communications in Computer and Information Science).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media Platform
Gassmann, L., McConville, R. & Edwards, M., 16 Jan 2025, 2024 IEEE International Conference on Big Data (BigData). Institute of Electrical and Electronics Engineers (IEEE), p. 2939-2948 10 p. (IEEE International Conference on Big Data).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile50 Downloads (Pure) -
Influence reasoning capabilities of large language models in social environments
Gassmann, L. D., Campbell, J. & Edwards, M., 8 Nov 2024, Proceedings of the 2024 AAAI Fall Symposia. AAAI Press, p. 40-47 8 p. (Proceedings of the AAAI Symposium Series; vol. 4, no. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile13 Downloads (Pure)
Datasets
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Topological and Conversational Features in a Large Mastodon Network
Gassmann, L. D. (Creator), Edwards, M. (Contributor) & McConville, R. (Contributor), Mendeley Data, 10 Sept 2024
DOI: 10.17632/k992knbyyv.1, https://data.mendeley.com/datasets/k992knbyyv
Dataset
Thesis
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Detecting Influence in Online Social Networks using Conversational Features.
Gassmann, L. D. (Author), Edwards, M. (Supervisor) & McConville, R. (Supervisor), 17 Jun 2025Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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