Wikipedia Sensitivity Barometer

The Wikipedia Sensitivity Barometer (WSM) is an online tool to evaluate the vulnerability of each Wikipedia page across three dimensions: Heat, Quality, and Behaviour. Each metric is normalised between 0 and 1 using functions that are robust to extreme values. It is the result of the joint-work of Opsci.ai, a French research consultancy and digital intelligence laboratory specializing in narrative competition, and Wikimedia France.
Homepage: https://wikisensibarometer.disinfo-prompt.eu/
Project
The WSM was developed in the context of the pilot project PROMPT (Predictive Research On Misinformation & Propagation Trajectories). Advancing the work of the European Narratives Observatory and led by the french company Opsci.ai, PROMPT combined the power of LLMs combined with dynamic network analysis for the in-depth recognition of formal patterns across media outlets, social networks and Wikipedia, in 8 languages, based on the rhetorical similarities observed qualitatively. It analyzed vast amounts of textual data to detect malevolent narratives, focussing on three case-studies: the war in Ukraine, LGBTQI+ rights, and the 2024 European elections.
Collections
These are collections of Wikipedia articles covered by the tools:
Events
The tool Wikipedia Sensitivity Barometer participated in the following Wikimedia events:
- 2026, July - Wikimania Paris 2026 - Team Challenges (page of the team)