Tristan J B Cann
Biographic Data
| ID | 4163824 |
|---|---|
| NAME | Tristan J B Cann |
| GIVEN NAMES | Tristan J B |
| FAMILY NAME | Cann |
| SIGNATURE | CANN T J B |
| AFFILIATIONS | University of Exeter |
| ORCID | 0000-0002-0672-091X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
How Does GenAI “See” Climate Change
Visualising climate change is a challenge for journalists. Climate images can be clichéd, disconnected and even divergent from information communicated by other modalities (such as text); and can represent a missed opportunity to engage audiences. Generative AI could potentially provide transformative opportunities to visually illustrate climate news. However, risks may include reinforcing stereotyped, inaccurate or unethical visual content, with…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
Is it correct to project and detect? How weighting unipartite projections influences community detection
Bipartite networks represent pairwise relationships between nodes belonging to two distinct classes. While established methods exist for analyzing unipartite networks, those for bipartite network analysis are somewhat obscure and relatively less developed. Community detection in such instances is frequently approached by first projecting the network onto a unipartite network, a method where edges between node classes are encoded as edges within o…
How Does GenAI “See” Climate Change
Visualising climate change is a challenge for journalists. Climate images can be clichéd, disconnected and even divergent from information communicated by other modalities (such as text); and can represent a missed opportunity to engage audiences. Generative AI could potentially provide transformative opportunities to visually illustrate climate news. However, risks may include reinforcing stereotyped, inaccurate or unethical visual content, with…
Algorithm (1 work) · Artificial Intelligence (1 work) · Bipartite graph (1 work) · Citizen journalism (1 work) · Climate change (1 work) · Climate change adaptation (1 work) · Climate Change Communication and Perception (1 work) · Community structure (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work)