Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 01:49:05am WEST
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Daily Overview |
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Thematic Session: Media, Policy Issues, and Efficacy Amid Floods (Streaming) Location: B134 Session Chair: Maria L. Loureiro, Univgersity Santiago de Compostela Session Chair: Valerie Mueller, Arizona State University | |
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Narratives, Emotions and the Amplification of Disinformation During Natural Disasters: Evidence from X in the 2024 DANA in Spain 1: University A Coruña, Spain; 2: University of Santiago de Compostela, Spain; 3: University of A Coruña, Spain Natural disasters create environments in which information and misinformation travel at extraordinary speed, potentially increasing hazards and general insecurity. We analyse more than 160,000 tweets posted during and after the 2024 DANA in Valencia (Spain), finding that more than 10% are related to mis/disinformation issues. Tweets classified as mis/disinformation show consistently higher levels of user interaction than those from other categories. On average, misinformation tweets receive more retweets (22.16 vs. 14.6), likes (52.09 vs. 37.2), replies (2.62 vs. 1.9), and views (4013 vs. 3426). These differences indicate that, despite representing a smaller share of total tweets, mis/disinformation-related content achieves greater visibility and generates stronger audience engagement. This pattern suggests that mis/disinformation is disproportionately amplified within the broader conversation, reinforcing its potential influence beyond its numerical prevalence. Our results support the need for crisis-sensitive algorithmic policies to prevent further impacts related to climate extreme events. These might include temporary mechanisms to dampen the diffusion of content that combines high emotional load with indicators of low veracity; priority amplification of verified coordination messages from high-trust sources; and greater transparency about how engagement signals are used to rank content during emergencies. | |