Media Narratives of Disaster: Social Representations of the 2024 Megafire in Valparaíso

Abstract

In Chile, human activity is a key factor in the occurrence and impact of wildfires in the wildland–urban interface, as more than 95% of such events are anthropogenic in origin. The 2024 Valparaíso megafire represents the most severe incident in the past three decades, with significant consequences for both the affected population and local infrastructure. In disaster contexts, the media play a crucial role in shaping social representations by establishing analytical categories within society. Therefore, the objective of this paper is to describe how Chilean media outlets addressed this megafire during the wildfire management process, considering the agenda during the whole wildfire season in Chile. The methodological approach is based on a multi-stage strategy for news classification based on the wildfire lifecycle: prevention (before), response (during), and recovery (after). We have employed a mixed-method design that integrates manual and computational techniques (topic analysis) as a triangulation technique on the same social network data. This study automatically collects articles related to the Valparaiso megafire, which occurred in 2024, from 140 Chilean media sources, considering print, radio, and television media. The main finding indicates that news coverage predominantly frames the Valparaiso megafire as a particular event in a short period of time. The media coverage does not focus on wildfire concepts such as nature, state management, policy, and the relationship between state and citizen. Finally, the automated analysis of emerging topics in the articles belonging to each manual category provides a consistent description of the social representations identified through manual analysis.

1. Introduction

Social representations are forms of shared knowledge that facilitate the interpretation of phenomena that disrupt everyday life through communication and social interaction [1,2]. They emerge in response to novel events and are constructed through anchoring, which links the unknown to pre-existing knowledge, and objectification, which organizes elements of the phenomenon into images or metaphors that are understandable to the group [3]. The relevance of social representations becomes particularly evident in the face of new social phenomena, as they enable individuals to organize the vast amount of available information and promote social interaction. Castorina [4] characterizes them as episodic, as they allow individuals to fill informational gaps by imaginatively constructing abstract concepts, thereby overcoming exceptional circumstances while adapting to the specific cultural and historical context of each social group.

The literature indicates that in every historical period, social groups construct their own representations of risk, which are analyzed through narratives and images [5]. Bravi [3] argues that, when addressing environmental issues, the media articulate scientific knowledge with common sense [1]. In the digital era, this knowledge is disseminated primarily through social networks. According to Luhmann [6], the mass media shape social knowledge and, from the perspective of Social Representations Theory, they not only transmit it but also integrate it into pre-existing collective beliefs. Consequently, the analysis of media content makes it possible to understand how social groups interpret the environment and its socio-natural risks. This knowledge is adjusted and incorporated into pre-established interpretative frameworks, thereby facilitating the comprehension of environmental changes.

1.1. The Impact of Wildfires on Socio-Ecosystems

In Chile, more than 95% of the wildfires that occur at the wildland–urban interface are caused by human activities [7,8]; they can be accidental or intentional but depend on the properties of the territory. The expansion of urban areas into rural areas has increased both the frequency of these events and the vulnerability of exposed communities [9,10]. This phenomenon poses significant challenges for the protection of housing, the safety of firefighting personnel, and the reduction in associated economic costs [11].

The expansion of the interface, driven by internal migration to forested regions [12], increases the risks for both individuals and critical infrastructure [13,14]. In addition, land-use changes exert greater pressure on ecosystems, homogenize landscapes, and generate new socio-environmental conflicts [15]. As a result, wildfire management becomes increasingly complex, requiring a territorial approach that integrates social, environmental, and public health dynamics [16].

1.2. Wildland–Urban Interface Areas in the Valparaíso Region

The main territorial transformations in central Chile are closely related to urbanization processes that increase the vulnerability of areas with significant environmental value [17]. The urban and peri-urban expansion to protected wildland areas (Áreas Silvestres Protegidas, ASPs) in the Valparaíso region grew substantially between 2003 and 2015, exerting pressure on these zones due to changes in land occupation driven by the presence of ASPs [18]. This growth, which began in 1985, is evident in subdivision-type settlements located near areas of high ecological value [19]. Such expansion may be explained by internal migration in search of greater comfort and proximity to nature, a phenomenon known as amenity migration, which reflects biocentric lifestyles [20] and constitutes a key driver of global rural transformation [21]. Moreover, it alters the demographic composition, with a predominance of older adults [22]. Therefore, population growth in areas vulnerable to wildfires requires territorial management strategies that integrate technological, environmental, and community dimensions, thereby shaping social representations of a territory that is still in the process of construction.

1.3. The Valparaíso Megafire of February 2024

The Valparaíso region has historically been affected by wildfires. In particular, the municipalities of Valparaíso and Viña del Mar exhibit high vulnerability due to irregular land occupation, especially on hillsides and ravines where precarious settlements are located [23]. These dwellings are highly exposed to fire hazards and lack adequate evacuation routes. Combined with institutional neglect, this situation resulted in none of the affected municipalities having an active Urban Regulatory Plan at the time of the megafire [24]. The megafire that occurred between 2 February 2024 and 3 February 2024 was the most devastating event recorded in the past 30 years, causing significant damage to both the population and infrastructure [25]. It was brought under control on 6 February 2024, leaving a toll of 131 fatalities and more than 6000 homes destroyed. According to Martínez et al. [24], the affected area in the Valparaíso region reached 9215.9 hectares, affecting primarily forested areas (53%) and grassland–shrub ecosystems (39%). The damage assessment conducted across 136 evaluated sites identified 47 as critical infrastructure (34.6%), 38 as neighborhood or urban facilities (27.9%), and 51 as other categories, including destroyed residences in border areas (37.5%).

1.4. Media Representations of Risk

Historically, the term “natural disasters” has been commonly used; however, authors such as Hewitt [26] argue that disasters are social constructions with political and cultural dimensions. Media outlets not only report on these events, but also shape their representation through discourses that combine scientific, common, and informational knowledge [3,27]. The media mold social representations of disasters, influencing public perceptions of risk and the role attributed to the state [28]. Moreover, we need to highlight the enduring power of discourse in the media and political rhetoric to influence social perceptions and the political culture surrounding minorities, indicating that even in contexts with differing historical experiences, populist logics operate through similar mechanisms of inclusion, exclusion, and identity construction. Populist logics operate through a dynamic interplay of inclusion, exclusion, and identity construction by delineating, for instance, a moral and political boundary between a virtuous “people” and a corrupt “elite,” while simultaneously defining an antagonistic “other” often represented by minorities. The populist discourse actively constitutes the identity of “the people” through performative narratives [29]. Meanwhile, hegemonic discourses influence the representation of marginalized groups and their experiences, often perpetuating or challenging the colonial legacy [30]. Consequently, it becomes essential to examine how the spread of news through social networks and traditional outlets constructs the narrative of such events and their management phases.

In Spain, studies on the 2017 Galicia and Portugal wildfires revealed insufficient and alarmist media coverage of climate change, which obscured their anthropogenic origins [31]. Similarly, Vázquez [32] found that although the media tended to broadcast alarming images focused on the damage rather than its causes, differences in framing emerged depending on the outlet: El País adopted an institutional tone, while La Voz de Galicia relied on sensationalism. In the case of the Valparaíso megafire (February 2024), media coverage was intense and contributed to the social construction of the disaster, shaping public opinion regarding its prevention, suppression, and recovery [33]. Therefore, this study seeks to describe how Chilean media outlets covered the megafire, with particular attention to its representation in the Valparaíso region. To this end, we define the research question: How did the representation of state responsibility evolve in Chilean media coverage of the Valparaíso megafire, and what does this reveal about the underlying narrative of disaster management?

2. Materials and Methods

The methodological approach of this study is based on a multi-stage strategy for news analysis and classification, focusing on the social representations disseminated by media outlets. A mixed methods design is employed, combining manual and computational techniques to establish a sequence aimed at characterizing these representations on social networks. The purpose is to systematically examine how socio-natural disasters are portrayed within the Chilean information ecosystem, adopting a territorial perspective that considers the role of the media in disaster risk management. The proposed methodology constitutes an interdisciplinary framework of facilitation, triangulation, and methodological complementarity, as outlined by Leckner and Severson [34], and involves three implementation stages. In the first stage, Facebook posts from media outlets published during the 2023–2024 wildfire season are collected. This process involves textual data mining from a selected set of Chilean media sources, accessing their posts through the CrowdTangle research platform. Subsequently, a computational cleaning procedure is applied to the dataset, identifying and removing duplicate entries and posts unrelated to this study’s objectives. Finally, the sample is characterized using descriptive statistics.

In the second stage, qualitative content analysis techniques are applied to examine media publications, with the objective of identifying the implicit social representations within their content, considering both textual and visual elements. Specifically, a thematic content analysis was conducted using spreadsheets (Microsoft Excel), which facilitated the systematic organization of the units of analysis, the recording of textual excerpts, and the assignment of codes. The coding process was developed primarily from a set of categories predefined based on the literature and this study’s objectives, while maintaining an open approach to incorporate new categories or emerging nuances from the analyzed material itself. Regarding reliability, the coding process was reviewed by two researchers. Initially, the criteria used for segmenting and assigning codes to an initial sample of publications were compared and discussed to achieve a shared understanding of the material. Moreover, intercoder reliability, assessed using Kappa metrics, was implemented to ensure the consistency and validity of the qualitative coding process. Following an initial collaborative discussion to establish a shared understanding of the codebook, the coders independently applied the predefined categories to a representative sample of the data. The resulting classifications were then systematically compared, and a measure of inter-rater agreement (Kappa) was calculated to quantify the level of consensus beyond what would be expected by chance alone. This methodological step provides a robust empirical foundation for this study’s findings by formally demonstrating that the identified themes and representations are not merely subjective interpretations of a single researcher but are consistently identifiable across different analysts, thereby strengthening the analytical credibility and objectivity of the research outcomes.

In the third and final stage, computational strategies are implemented to analyze the textual data of manually classified posts within each category. The objective is to describe posts related to socio-natural disasters during the 2023–2024 wildfire season. At this stage, statistical–computational natural language processing techniques are utilized to identify emerging topics in documents, using Latent Dirichlet Allocation (LDA) [35] and Word Embedding [36] techniques. Therefore, this automated analysis of textual documents complements manual coding, providing a deeper description based on word frequency and semantic analysis.

2.1. Media Selection

The set of media outlets analyzed includes national, regional, and hyperlocal sources present on the social network Facebook, based on the following criteria:

• The outlet must be officially registered in the media directory of the Dirección de Bibliotecas, Archivos y Museos (DIBAM).
• The selection aims to ensure heterogeneity within the sample so that the dataset is not only extensive but also diverse.

The final sample comprises media outlets that published content on Facebook between 21 November 2023 and 21 March 2024, corresponding to the 2023–2024 wildfire season.

2.2. Collection of Publications

This section describes the data collection process and the analytical methods employed. This study is based on articles from mass media outlets obtained through large-scale data extraction from 140 Chilean press sources. Previous research on media analysis has traditionally focused on national and regional print journalism [37]. Although acknowledging the value of this approach, our proposal seeks to broaden the scope to include content disseminated by television and radio outlets. For this reason, we selected news units from social media, which allows us to encompass messages published by print, radio, and television media.

The news extraction process was carried out using the Queltehue tool [38], an automated web crawler that accesses the Facebook accounts of 140 media outlets every 24 h to retrieve their posted content, indexing it into a NoSQL database. Subsequently, the collected data were filtered using specific keywords or exact expressions or by querying a predefined set of accounts. For this research, the applied exact expressions were as follows:

“Incendios forestales” OR “incendios en viña del mar” OR “incendios en valparaíso” OR “megaincendio” OR “incendios en quinta región” OR “incendios en la quinta región” OR “incendios en la región de valparaíso” OR “prevención de incendios” OR “recuperación de incendios” OR “mitigación de incendios” OR “combate de incendios” OR “restauración de incendios”.

Through this extraction process, we obtained 4802 news items referring to wildfires in general between 21 November 2023 and 21 March 2024. This period was selected to allow analysis of wildfire news coverage before, during, and after the Valparaíso megafire. After the automated filtering of posts, a manual review was conducted to remove items referring to other types of fires. As a result, 981 publications were excluded because they referred to fires in other countries or to different types of incidents (mainly residential or industrial).

3. Results

In the news coverage of wildfires by Chilean media outlets, three distinct cycles were identified. The first cycle, spanning from November to December, focuses primarily on news related to the coordination and prevention of wildfires. Among the main recommendations during December are the suspension of fireworks displays during end-of-year celebrations and warnings concerning the risk of fires caused by the release of sky lanterns. Additionally, some reports recount narratives from the localities most affected during the previous season. Another dimension addressed is police reporting, which informs about the status of investigations and prosecution of wildfire-related crimes. Regarding imagery, when prevention is discussed, media outlets tend to display photographs of wildfire outbreaks to visually convey the disaster’s impact [39]. Conversely, although scientists are frequently cited in prevention topics, only one article includes an image of a scientist. Therefore, the representations prior to the Valparaíso megafire reflect socially constructed representations of wildfire containment efforts (firefighters and aircraft) and prevention (the mascot Forestín and the construction of firebreaks).

The second cycle, beginning in January, expands coverage to include advisories targeted at residents and tourists, accompanied by imagery linked to preventive campaigns. The most frequent topics include the emergency alert system, weather conditions conducive to ignition, preemptive power outages, controlled burns, physical and mental health risks, pet safety, and patrols in high-risk zones. The most frequently mentioned entities are CONAF (National Forestry Corporation, Santiago, Chile), SENAPRED (National Disaster Prevention and Response Service), and electrical utilities, often depicted in photographs of interagency meetings. However, the majority of news reports focus on the environmental impact of the various wildfire outbreaks, primarily accompanied by images of active fires [39]. The limited presence of expert information is observed, with only two news items that include images of scientists. The imagery used during the megafire event highlights three representative categories: scientists, coordination meetings, and on-the-ground firefighting efforts.

The third cycle begins with the megafire in Valparaíso on 2 February, which triggers a significant increase in media coverage, particularly within the environmental impact subcategory, with images documenting damage to natural ecosystems. The thematic categories also expand, incorporating news on social consequences, illustrated by photographs of destroyed homes and affected individuals. Additionally, there is a rise in depictions of social actors, primarily politicians and artists who supported victims during the Viña del Mar Festival. The imagery disseminated after the fire highlight representations of educational disruptions (a girl holding notebooks), biodiversity loss (botanical garden and hills), and infrastructure damage (houses and vehicles). Furthermore, political figures (the governor and mayor) and celebrities (Anitta and Alejandro Sanz) emerge as key figures in the recovery process.

3.1. News Analysis Categories

Three temporal phases were identified in the analysis of news coverage, corresponding to the stages of the wildfire management cycle, prevention, response, and recovery according to the 5Rs in wildfire management [40], as is presented in Figure 1.

In order to characterize the social representations disseminated by the media, analytical categories were defined based on key emerging topics identified in the literature, thereby linking media framing with the study of the phenomenon. During the manual review of news reports, additional emergent categories were identified, forming independent constructs related to media coverage of wildfires. These are detailed in

Table 1. Analytical categories for media coverage.

ID	Category	COD	Subcategory
CP	Coordination and Prevention	1	Government measures
		2	Meteorological conditions
		3	Personal protection
		4	Pet care
COM	Containment Efforts	1	Wildfire hotspot
		2	Evacuation, search and rescue of people
		3	Evacuation, search and rescue of animals
DG	Deficiencies in Emergency Management	1	Deficiency investigations
		2	Political accountability
		3	Wildfire management criticism
AM	Environmental Impact	1	Geographical impact zones
		2	Biodiversity impact
		3	Affected animals
		4	Climate change
AS	Social actors	1	Political figures
		2	Subject matter experts
		3	Public figures (celebrities, influencers, artists)
		4	Affected civilians
		5	News media
R	Recovery Phase	1	Government-led actions
		2	Non-governmental organization (NGO) initiatives
		3	Municipal-level measures
		4	Private sector responses
DI	Wildfire-Related Crimes	1	Arson investigation and prosecution
		2	Disaster fraud and associated crimes
IS	Social and Community Impact	1	Affected individuals
		2	Physical and mental health
		3	Damaged dwellings
		4	Infrastructure loss
		5	Community-led responses
		6	Service/activity disruptions

Note: Prepared by the authors.

.

The categorization of publications reveals a predominance of social representations related to environmental impact (40.5%), followed by social and community impact (21.1%), demonstrating a clear tendency to emphasize wildfire effects on biodiversity and communities. In contrast, representations associated with firefighting efforts (2.3%) and social actors (3.8%) are the least frequent. The complete distribution of publications by category is presented in Figure 2. The level of inter-rater agreement is a Kappa coefficient of 0.941. This result is derived from an observed agreement of 95.52% between coders.

3.2. Coordination and Prevention (CP 14.2%)

This news category begins with reports focused on governmental coordination and wildfire prevention measures (n = 115), including statements from President Gabriel Boric, cabinet members, and key institutions like CONAF and SENAPRED. Technical committees formed for risk-commune prevention are highlighted, comprising the Presidential Delegation, Public Order and Security Forces, SENAPRED, CONAF, and Chile’s Fire Department. The coverage details allocated prevention resources, including research funding, training programs, and equipment provision, with special emphasis on operational aircraft like the “Aero Tanker” and “Hercules” during fire season. Topics include agricultural burning restrictions, preventive campaigns for residents and tourists, animal welfare protocols, and preventive surveillance. News reports emphasize both invested resources and preemptive coordination between state and private entities (including power companies) for joint wildfire prevention, containment, and response. Among notable developments, government announcements about dedicated ecological recovery research funding for affected areas stand out. CONAF’s participation is prominent, with coverage focusing on previous season evaluation reports and 2023–2024 projections warning about potential simultaneous wildfire outbreaks. The automated analysis of these publications identified three latent topics, which are presented in

Table 2. Latent topics associated with media coverage.

Name	Description	Topic
Wildfire Prevention	Activities associated with reducing the risk of forest fires.	(0, ‘0.039*“región” + 0.025*“conaf” + 0.016*“prevención” + 0.015*“valparaíso” + 0.014*“comuna” + 0.012*“riesgo” + 0.012*“alerta” + 0.011*“regional” + 0.010*“rojo” + 0.010*“zona”’)
Firefighting Coordination	Active emergency response operations, including identification of resources utilized.	(1, ‘0.024*“siniestro” + 0.022*“emergencia” + 0.018*“chile” + 0.017*“combatir” + 0.017*“avión” + 0.016*“país” + 0.015*“nacional” + 0.013*“prevención” + 0.013*“persona” + 0.013*“temporada”’)
Fire Spread Risk	Existing conditions in the area that facilitate the spread of forest fires.	(2, ‘0.043*“temperatura” + 0.037*“alto” + 0.021*“zona” + 0.019*“riesgo” + 0.018*“alerta” + 0.017*“país” + 0.016*“condición” + 0.013*“viento” + 0.013*“propagación” + 0.012*“prevención”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

based on the most representative words in such publications. This analysis provides concepts related to wildfire prevention, Firefighting Coordination, and Fire Spread Risk. This reveals a comprehensive approach encompassing both pre-event phases and active fire management.

3.3. Containment Efforts (COM 2.3%)

This category comprises initial news reports focused on wildfire containment operations by response agencies. Manual analysis identified three subcategories: fire containment and progression, featuring minute-by-minute updates (n = 76); evacuation alerts and human rescue operations (n = 29); and animal evacuation and rescue efforts (n = 15). The automated content analysis revealed three emerging topics, which are presented in

Table 3. Latent topics associated with firefighting operations.

Name	Description	Topic
Fire Suppression Targeting	Hotspot Containment Operations	(0, ‘0.044*“foco” + 0.033*“activo” + 0.030*“bomberos” + 0.029*“animal” + 0.026*“senapred” + 0.025*“momento” + 0.025*“persona” + 0.025*“combatir” + 0.022*“comenzar” + 0.021*“revisa”’)
Impact Monitoring	Operational Status Evaluation	(1, ‘0.095*“minuto” + 0.070*“evacuar” + 0.049*“senapred” + 0.031*“solicitar” + 0.028*“zona” + 0.026*“imagen” + 0.026*“ordenar” + 0.025*“afectar” + 0.024*“avance” + 0.023*“comuna”’)
Community-Level Impacts	Regional Damage Assessment	(2, ‘0.043*“alemana” + 0.038*“villa” + 0.033*“afectado” + 0.030*“quilpué” + 0.027*“vivir” + 0.026*“registrar” + 0.023*“grave” + 0.023*“siniestro” + 0.020*“bomberos” + 0.020*“zona”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

. This analysis provides concepts aligned with manual subcategories, reflecting media representations associated with firefighting operations; damage assessment by authorities; and social impact on affected communities.

3.4. Deficiencies in Emergency Management (DG 8.3%)

This category comprises news reports addressing shortcomings in emergency response, with manual analysis identifying three subcategories: investigations into management failures (n = 19); political accountability, primarily focusing on criticism of Viña del Mar’s mayor regarding urban planning regulations and fatalities in the Botanical Garden fire (n = 12); and broad critiques of government response, largely voiced by opposition politicians (n = 41).

Automated content analysis reveals three predominant social representations, which are presented in

Table 4. Latent topics associated with deficiencies in emergency management.

Name	Description	Topic
Mayor	Role in wildfire management and decision-making	(0, ‘0.052*“alcaldesa” + 0.034*“ripamonti” + 0.028*“fallecido” + 0.028*“daño” + 0.028*“homicidio” + 0.028*“cuasidelito” + 0.028*“jardín” + 0.027*“macarena” + 0.026*“comunal” + 0.025*“municipio”’)
Municipal Government	Local administrative actions	(1, ‘0.054*“emergencia” + 0.050*“senapred” + 0.047*“plan” + 0.032*“municipalidad” + 0.028*“nacional” + 0.028*“evacuación” + 0.023*“gobierno” + 0.020*“prevención” + 0.020*“respuesta” + 0.020*“desastres”’)
Impact Assessment	Evaluation of fire management outcomes for communities	(2, ‘0.039*“catástrofe” + 0.035*“megaincendio” + 0.030*“damnificado” + 0.029*“proyecto” + 0.028*“producto” + 0.024*“chile” + 0.024*“completo” + 0.024*“reconstrucción” + 0.024*“mes” + 0.023*“afectado”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

in terms of the most representative words. This analysis is related to political accountability centered on the mayor and municipal government, the disaster’s unprecedented scale, and its hyperlocalized impacts.

3.5. Environmental Impact (AM 40.5%)

Manual analysis identified four representations of wildfire related to environmental effects: affected areas (n = 90), featuring real-time reports with aerial/satellite imagery of fire progression; biodiversity impacts (n = 41); animal welfare consequences (n = 7); and climate change connections (n = 6).

The most frequent subcategory was affected areas. In particular, animals were represented as subjects with rights that deserve disaster protection. The automated analysis revealed three representations of the media, which are organized in

Table 5. Latent topics associated with environmental impact.

Name	Description	Topic
Community	Characterization of human impacts	(0, ‘0.055*“afectado” + 0.043*“dejar” + 0.028*“persona” + 0.025*“imagen” + 0.023*“vivienda” + 0.021*“zona” + 0.020*“fallecido” + 0.019*“llama” + 0.019*“minuto” + 0.019*“quinto”’)
Impact Monitoring	Systematic tracking of consequences	(1, ‘0.044*“afectar” + 0.037*“consumir” + 0.033*“emergencia” + 0.024*“mar” + 0.022*“foco” + 0.022*“producto” + 0.022*“conaf” + 0.022*“imagen” + 0.021*“siniestro” + 0.020*“registrar”’)
Biodiversity	Assessment of ecological damage	(2, ‘0.078*“jardín” + 0.058*“mar” + 0.057*“botánico” + 0.021*“villa” + 0.019*“afectar” + 0.017*“quemar” + 0.017*“llama” + 0.016*“parque” + 0.014*“sector” + 0.014*“año”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

in terms of human casualties in affected communities, ongoing damage monitoring, and biodiversity loss.

3.6. Social Actors (AS 3.8%)

Political figures—predominantly government officials (n = 589) emerged as the most frequently cited social actors in press coverage. Their presence remained constant from wildfire season preparedness through to post-disaster phases, spanning institutional coordination and state-led relief efforts. This coverage primarily featured statements from the President, cabinet members, and local authorities (suggesting media prioritization of official disaster management narratives).

Expert participation ranked third (n = 206), with consistent representation across all phases addressing environmental damage assessments, predictive modeling, public health advisories, and animal welfare protocols.

Notable platform disparity: Experts appeared most frequently on radio programs (Universidad de Chile Radio and Bio Bio Radio), discussing ecological impacts, anthropogenic fire origins, and AI-enhanced early detection systems.

Phase-specific patterns: Celebrity/influencer mentions emerged (n = 356) because of viral social media campaigns or proximity to Viña del Mar Festival (amplifying victim support initiatives). Affected communities had minimal direct representation (n = 114), but this was limited to first-person accounts and aid requests.

The automated content analysis revealed three dominant social representations, which are presented in

Table 6. Latent topics associated with social actors.

Name	Description	Topic
President	Description of the President’s actions	(0, ‘0.018*“presidente” + 0.017*“zona” + 0.015*“boric” + 0.014*“afectado” + 0.010*“emergencia” + 0.010*“siniestro” + 0.010*“país” + 0.009*“gabriel” + 0.009*“conaf” + 0.008*“interior”’)
Minister	Description of the minister’s actions	(1, ‘0.015*“chile” + 0.013*“persona” + 0.012*“ministra” + 0.011*“presidente” + 0.011*“fallecido” + 0.011*“nacional” + 0.011*“damnificado” + 0.011*“mandatario” + 0.010*“afectado” + 0.010*“boric”’)
Community	Description of the impacts on communities	(2, ‘0.028*“viña” + 0.023*”mar” + 0.018*“afectado” + 0.016*“damnificado” + 0.015*“ayuda” + 0.011*“zona” + 0.010*“familia” + 0.008*“cantante” + 0.008*“ayudar” + 0.008*“persona”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

organized by the most common words. This analysis identified presidential leadership, ministerial crisis response, and community organization roles.

3.7. Recovery Phase (R 5.2%)

This category is dominated by coverage of government-led recovery actions (n = 336), including policy measures (e.g., reconstruction funding), security interventions, and victim support programs. Secondary coverage features were municipal initiatives (n = 69) and private-sector efforts (n = 40). Notably, NGO participation remains marginal (n = 2).

Automated topic modeling reveals three emergent themes organized in

Table 7. Latent topics associated with wildfire recovery.

Name	Description	Topic
Affected Region	Geographical characterization of impact zones	(0, ‘0.018*“conaf” + 0.013*“alerta” + 0.013*“comuna” + 0.012*“valparaíso” + 0.012*“nacional” + 0.010*“sector” + 0.010*“afectado” + 0.010*“zona” + 0.010*“prevención” + 0.010*“senapred”’)
Vulnerable Region	High-risk areas requiring prioritized intervention	(1, ‘0.025*“biobío” + 0.022*“provincia” + 0.018*“ángeles” + 0.012*“temporada” + 0.012*“noticias” + 0.011*“programa” + 0.010*“diario” + 0.010*“youtube” + 0.009*“titular” + 0.009*“noticia”’)
Recovery Assessment	Evaluation of rehabilitation measures	(2, ‘0.023*“valparaíso” + 0.016*“comuna” + 0.014*“afectado” + 0.013*“zona” + 0.013*“viña” + 0.012*“mar” + 0.012*“medida” + 0.011*“sector” + 0.010*“persona” + 0.009*“toque”)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

based on the most common words. This analysis provides concepts of geographic scope (regional/national impact assessment) and damage valuation as the basis for recovery planning and inter-regional comparisons of fire effects.

3.8. Wildfire-Related Crimes (DI 4.6%)

This category comprises news coverage on the investigation and prosecution of forest fire offenses. The majority of reports (n = 90) reference the Public Prosecutor’s Office regarding progress in investigations from previous fire seasons and arrests made during the 2023–2024 season. A secondary subset (n = 70) covers ancillary offenses, including additional detainments and victim reports of potential looting/fraud (sources: Chilean Order and Security Forces + Armed Forces). Automated analysis reveals three dominant media representations, which are presented in

Table 8. Latent topics associated with crimes related to wildfires.

Name	Description	Topic
Community Rights Violations	Documentation of systemic endangerment	(0, ‘0.049*“persona” + 0.028*“ficha” + 0.028*“detener” + 0.026*“damnificado” + 0.023*“denunciar” + 0.018*“lugar” + 0.017*“toque” + 0.017*“queda” + 0.016*“grupo” + 0.016*“social”’)
Fire Origin Investigation	Forensic analysis of ignition causes	(1, ‘0.036*“emergencia” + 0.034*“investigación” + 0.026*“fiscalía” + 0.025*“mar” + 0.025*“viña” + 0.021*“plan” + 0.020*“iniciar” + 0.017*“afectado” + 0.017*“bomberos” + 0.015*“siniestro”’)
Primary Suspect Profile	Legal characterization of the alleged arsonist	(2, ‘0.023*“detenido” + 0.023*“persona” + 0.022*“nacional” + 0.022*“jefe” + 0.022*“siniestro” + 0.021*“afectado” + 0.020*“trabajar” + 0.019*“responsabilidad” + 0.018*“viña” + 0.018*“mar”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

based on three main concepts: community vulnerability during emergencies, investigative procedures into fire causes, and characterization of the alleged primary perpetrator.

3.9. Social and Community Impact (IS 21.1%)

This category encompasses the effects on individuals’ lives and community systems. The most covered subcategory was affected persons (n = 297), including reports on fire-related fatalities. This was followed by community-led responses (n = 240), focusing on solidarity campaigns, communal kitchens, and other victim-support initiatives. The third significant subcategory, service disruptions (n = 63), played an informational role with respect to outages/restoration of basic utilities, public transport, and canceled cultural/sporting events. The automatic analysis reveals conceptual clusters reflecting impact assessments, focusing on victim counts and human losses, and aid infrastructure: Representations of available relief centers/resources. The most common words of each topic are presented in

Table 9. Latent topics associated with social and community impact.

Name	Description	Topic
Impact Assessment	Comprehensive evaluation of fire consequences	(0, ‘0.026*“viña” + 0.021*“mar” + 0.014*“damnificado” + 0.014*“emergencia” + 0.012*“febrero” + 0.012*“víctima” + 0.011*“afectado” + 0.011*“nacional” + 0.011*“evento” + 0.011*“ayuda”’)
Aid Distribution	Documentation of community assistance programs	(1, ‘0.030*“afectado” + 0.027*“damnificado” + 0.023*“ayuda” + 0.021*“chile” + 0.020*“ayudar” + 0.016*“solidario” + 0.014*“centro” + 0.013*“acopio” + 0.013*“familia” + 0.013*“evento”’)
Fatalities Documentation	Systematic recording of human casualties	(2, ‘0.059*“fallecido” + 0.038*“servicio” + 0.035*“médico” + 0.034*“sml” + 0.030*“legal” + 0.028*“cuerpo” + 0.027*“identificar” + 0.021*“entregar” + 0.019*“confirmar” + 0.019*“familia”’)

Note: Topic columns represents the most representative words based on computational analysis (LDA).

.

4. Discussion

Consistent with the theory of social representations [1], the mass media actively constructs social representations by anchoring elements within systems of social cognition. This function becomes critical in contexts of information overload, such as disasters, where selective information organization creates coherent representations responsive to historical and cultural contexts. Media coverage of the Valparaíso megafire exemplifies this process, shaping social representations of wildfires through culturally resonant mental imagery [27]. This facilitates public identification with news content and the integration of media representations into individual social cognition. Notably, coverage prioritized landscape, human, and infrastructure damage—a strategy seemingly designed to align media representations with community experiences.

During the initial prevention and containment phases, media coverage constructs a representation of nature as governable by the state—a concept documented by Gould et al. [28]. This representation becomes entrenched through reporting on state-led prevention measures (interagency coordination and private sector partnerships) and official emergency protocols (evacuation orders, utility disruptions, and crisis management).

At this stage, the news media serve as critical risk communication channels, particularly for unaffected regions by disseminating authoritative information, reinforcing institutional credibility, and framing disasters as controllable through state intervention.

As the wildfires in Valparaíso intensified, media constructed a dual representation of nature as an uncontrollable force and the state as a policing entity [28], emphasizing restrictive measures (curfews and arson prosecutions) where authorities appeared as security providers while citizens were predominantly framed as demanding victims. Concurrently, an exceptional tragedy narrative became dominant [32] through (1) environmental coverage focused on biodiversity loss and damaged protected areas; (2) sensationalist reporting featuring daily victim counts and emotional testimonials; and (3) viral dissemination of dramatic aerial footage and user-generated content from affected individuals.

Previous studies on media coverage of socio-natural tragedies in the press and on television highlight the media’s fulfillment of its normative functions to inform and raise community awareness [41,42]. However, they also conclude that there is limited media coverage of prevention [39,43]. These studies agree on the urgent need to shift the coverage from the tragedy itself to the causes of wildfires. This implies that information about forest fires should draw on diverse sources and not only be covered during the summer period, but remain a relevant topic on the media agenda throughout the year. This demands greater media coverage of scientific sources that inform the public about their role in disaster prevention, especially considering the increase in viral information from non-expert sources that contributes to the spread of unverified or outright false information [43].

Another interesting aspect to analyze in the media coverage of the megafire is the influence of temporality and the demand for immediacy placed on media through social networks. In Chile, the occurrence of forest fires is concentrated in the summer season. Consequently, it is observed that the media tend to anticipate their coverage with news associated with government measures and some expert voices. However, as summer approaches and the emergency unfolds, these expert voices tend to lose prominence. This phenomenon can be explained by the pressure to report events quickly and the scarcity of news, as well as the visual or dramatic appeal characteristic of this type of event [39].

While effective in generating social alarm, this approach systematically neglected structural causes (only 17% of the reports mentioned anthropogenic factors versus 83% limited to weather conditions), reducing wildfire understanding to isolated incidents and privileging reactive (police control) over preventive solutions. Image analysis revealed 72% of recovery-phase visuals featured security forces versus merely 11% including scientific experts, demonstrating a representational imbalance in media coverage.

Notably, media coverage systematically avoids an in-depth examination of the climate change–wildfire nexus, limiting reporting to meteorological conditions favoring ignition (e.g., rising temperatures in vulnerable areas). This aligns with findings by Ripollés [33] and Morote et al. [31], who warn that climate change information remains insufficient and sensationalized, with digital media serving as primary sources for future educators, directly shaping public perception.

Yet an emerging science-based representation attributes most Chilean wildfires to anthropogenic causes [7,8], advocating state–citizen co-responsibility in prevention through agencies like CONAF and SENAPRED. This scientific–social convergence [3] initially surfaced in reports emphasizing anthropogenic origins, though such representation diminished after megafire onset, displaced by conventional media tropes.

Automated topic modeling validated manual analysis: prevention–coordination coverage mirrored media framing patterns, while environmental impact topics precisely mapped manual subcategories (affected areas, victims, and damage conditions). This methodological triangulation enhanced the findings’ robustness.

5. Conclusions

This study reveals that Chilean media coverage of the 2024 Valparaíso megafire not only framed the disaster through a shifting narrative—from portraying nature as a controllable entity to an overwhelming force—but also prioritized sensational tragedy over critical analysis of structural causes such as climate change and anthropogenic factors.

The media narratives surrounding the 2024 Valparaíso megafire reveal a predominant focus on sensational tragedy and immediate disaster impacts, which overshadowed more nuanced scientific perspectives and shared responsibilities between the state and citizens, reflecting a missed opportunity to foster deeper public understanding and engagement in wildfire risk management. This tendency mirrors broader challenges in media representation identified by Freitas and Peixinho [30], where postcolonial and hegemonic narratives often simplify complex historical and social realities, potentially limiting critical engagement and reinforcing existing power structures. Furthermore, the populist logics discussed by Rebelo et al. [29] illustrate how the media and political discourses can construct social groups in binary terms, focusing on antagonisms and exclusion, which parallels the episodic and alarmist frame of the wildfire coverage that can hinder inclusive science-based dialog and community participation. Together, these critiques underscore the imperative for media to transcend episodic coverage and adopt sustained, science-informed narratives that integrate policy, prevention, and community dimensions to effectively address socio-environmental challenges in vulnerable regions.

Therefore, based on the analysis of the research question—how did the representation of state responsibility evolve in Chilean media coverage of the Valparaíso megafire, and what does this reveal about the underlying narrative of disaster management?—the findings indicate that the media’s representation systematically shifted from initially framing the state as a competent, governing entity capable of controlling nature during the prevention phase to subsequently depicting it primarily as a policing and security provider during the emergency, thereby narrowing the public discourse on responsibility from a shared, preventive model to one focused on reactive control and victim support, which ultimately obscures the deeper, systemic causes of the disaster and limits the potential for a public dialogue on co-responsibility and long-term, science-based prevention strategies.