Ramos, C., Jiménez-Cruz, C., & Hernández-Escayola, P. (2026). Narrative monitoring and argument-checking: Enhancing effectiveness in countering disinformation beyond fact-checking. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-198
Summary
This practitioner commentary from Maldita.es argues that traditional fact-checking, though necessary, is insufficient to disrupt the persistence and adaptation of disinformation narratives during crises. Using the October 2024 Valencia DANA flash floods and the “hidden bodies at Bonaire parking structure” conspiracy theory as an extended case study, the authors propose complementing claim verification with two additional layers: narrative monitoring and argument-checking. Grounded in argumentation theory, argument-checking shifts attention from whether individual claims are true to how premises, warrants, and fallacies are assembled into persuasive but misleading conclusions. The paper frames fact-checking as one layer within a broader “narrative and argument integrity” strategy that offers citizens an argumentative toolbox functioning as cognitive inoculation.
Key Contributions
- Introduces and operationalizes argument-checking as a complementary practitioner strategy to fact-checking in crisis contexts.
- Proposes a three-step hybrid workflow: (1) rapid claim-level verification, (2) concurrent narrative surveillance to detect storyline recombinations, and (3) argument-checking templates that expose recurring fallacies and causal leaps.
- Provides a detailed real-world case demonstrating how a conspiracy narrative resists claim-level debunking, and how deconstructing its internal logic yields anticipatory, transferable responses.
- Reframes fact-checking as one layer within a wider narrative and argument integrity strategy.
Methods
The paper is a commentary/case study centered on the Valencia DANA floods (October 29, 2024) and the associated parking-structure conspiracy narrative. Narrative monitoring drew on Maldita.es’s AI-assisted Disinformation Monitoring System for real-time tracking and thematic clustering of user queries, social posts, and forwarded messages over November 1–30, 2024. Argument-checking applied argumentation theory (Walton’s argumentation schemes and critical questions) to analyze causal links, coherence, and rhetorical mechanisms, alongside David Grimes’s probabilistic model to assess the logistical viability of a large-scale cover-up. The work is tied to the AC/DC project with the University of Navarra.
Findings
- The floods caused over 230 reported deaths across 78 municipalities and generated an unprecedented volume of coordinated disinformation.
- The parking-structure rumor escalated from “44 bodies” through inflating figures (86, 258, 800, 1,000) and, after the November 5 official denial, mutated into a full conspiracy alleging cover-ups, refrigerated trucks, and official complicity.
- The narrative relied on identifiable persuasive tactics: appeals to false authority via anonymous testimony, fabricated detail, argument from personal experience, and fearmongering.
- Recurring fallacies were catalogued: post hoc ergo propter hoc, non sequitur, argument from ignorance, false authority, and slippery slope.
- Maldita.es received ~13,000 messages in seven days (four times average volume); two claims accounted for 88% of the tracked narrative’s volume.
- Argument-checking counterarguments (e.g., the infeasibility of maintaining secrecy among hundreds of actors, absence of missing-person reports) were reformulated as accessible questions for the public.
Connections
This paper’s inoculation/prebunking framing connects directly to work on psychological resistance to misinformation such as van-der-Linden2026-jt and Spampatti2026-kx. Its critique of claim-level fact-checking and interest in narrative-level, evolving disinformation complements studies of correction and debunking effectiveness like Cazzamatta2026-lo and DeVerna2025-dl, as well as crisis-time collective sensemaking and rumoring examined in Starbird2025-jj and Prochaska2025-ef.
Podcast
A research-radio episode discusses this paper: 🎧 MP3 · Spotify