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Article

Photoprotection and Skin Cancer on X/Twitter: Analysis of Misinformation, Communication Challenges, and Attitudes in the Spanish Community

by
Cristina Fuentes-Lara
1,
Santana Lois Poch Butler
1,
María Luisa Humanes
2 and
Lara Jiménez Sánchez
1,*
1
Department of Audiovisual Communication and Advertising, Faculty of Communication, Rey Juan Carlos University, 28943 Fuenlabrada, Madrid, Spain
2
Department of Communication Sciences and Sociology, Faculty of Communication, University Rey Juan Carlos, 28943 Fuenlabrada, Madrid, Spain
*
Author to whom correspondence should be addressed.
Journal. Media 2024, 5(1), 432-443; https://doi.org/10.3390/journalmedia5010028
Submission received: 31 January 2024 / Revised: 18 March 2024 / Accepted: 18 March 2024 / Published: 21 March 2024

Abstract

:
This paper delves into the challenges faced by scientists to effectively communicate regarding photoprotection and skin cancer as a result of the pervasive, harmful effects of disinforming messages. In order to do so, the Spanish population’s understanding of photoprotection and skin cancer is examined. This paper is as an extension of the COMUNICANCER initiative, the ultimate goal of which is to establish protocols for producing and disseminating accurate content that raises the awareness of skin cancer-related dangers, as well as transferring knowledge on health prevention. Therefore, we have monitored the prevalence of misinformation and lack of information regarding sun photoprotection in Spain, aiming to reflect, ultimately, on the added difficulties faced by the scholarly community to disseminate accurate content in today’s communication environment, which has become even more complex due to the distorting influence of disinformation. Employing a quantitative methodology, the research involved a comprehensive analysis of 2498 Spanish-language tweets related to skin cancer and photoprotection collected between August 2021 and August 2022. The study proves that scientists face a social media landscape, particularly on X/Twitter, where there is not only a lack of comprehensive information on the various dimensions of skin cancer, its prevention, and treatment, but which also serves as a breeding ground for the dissemination of inaccurate and misleading information regarding sun-related health risks and preventive measures. This leads to an urgent need to develop strategies aimed at fostering comprehensive and accurate information dissemination, especially regarding health information, due to the critical effect this can have on people and public health systems.

1. Introduction

Skin cancer is the most frequently diagnosed type of cancer according to research by the American Cancer Society (2015). The figures indicate that one in five Americans suffer from skin cancer in their lifetime (Stern 2010), and the global trend is increasing. Skin cancer is differentiated between non-melanomas—basal cell carcinoma and squamous cell carcinoma—and melanomas. Non-melanomas are the most common worldwide, and melanoma, although less prevalent, is the deadliest. In 2020, more than 1.5 million new cases of skin cancers were diagnosed worldwide, with an estimated 325,000 new cases of melanoma and 57,000 deaths (International Agency for Research on Cancer 2022).
Skin cancer affects 7.3 million Europeans (AEDV 2022), with the highest incidence rates in countries such as the Netherlands, Brazil, Iran, and the United States (World Health Organization 2009; Nahar et al. 2018), and remains one of the most prevalent cancers in countries such as Australia (Kasparian et al. 2016). This increase in skin cancer is considered a growing global public health problem, according to the WHO International Agency of Research Cancer (Nunes et al. 2018; Tabbakh et al. 2019), and an epidemiological situation. In fact, Spain is considered a high-risk context for this disease, due to high solar radiation rates (AEMET 2023). In addition, during the 50th Congress of the Spanish Academy of Dermatology and Venereology (in Spanish, Asociación Española de Dermatología y Venereología), a press release stated that “The incidence of skin cancer has increased by 40% in the last four years. Annually, more than 78,000 new patients are diagnosed, and it is expected that by 2040 melanoma will become the second most common tumor globally. Melanoma is expected to become the second tumor in global incidence in 2040” (AEDV 2023). The severity is such that skin cancer is now considered the second-most prevalent factor of mortality in Global North countries (Sotoudeh et al. 2020).
Yet, skin cancer is one of the most preventable cancers in the world. It is estimated that one third of these cancer cases are preventable, and one third are curable with early diagnosis (Sotoudeh et al. 2020). However, the Spanish Association Against Cancer (Asociación Española Contra el Cáncer in Spanish) reports that 1.5 million patients delay consulting a doctor when they identify suspicious signs of skin cancer and that 33,000 deaths could have been prevented if patients had sought medical help (AECC 2021). In addition, data from the American Cancer Society (2014) indicate that three million cases of skin cancer could be prevented each year if the population were to avoid risk factors associated with ultraviolet (UV) exposure. Thus, skin cancer photoprevention is of essence, as it limits the risks of skin cancer if it is effective; this involves multiple strategies (Tabbakh et al. 2019).
The scenario of steadily increasing skin cancer globally coupled with the effectiveness of photoprotection places skin cancer communication as an alternative to curb this epidemiological crisis. The media, in conjunction with peer pressure and family habits, can significantly influence individual motivation (Sotoudeh et al. 2020; Wu et al. 2018). These sources serve as primary outlets for information among the population, thus playing a pivotal role in shaping health behaviors (Gupta et al. 2019). Nowadays, the importance of social media is crucial both to search for information and to show opinions and attitudes on any subject. Several studies show that the Internet is the most used source to search for information on health and skin cancer (Seidl et al. 2018; Bloom et al. 2015). However, it is essential to recognize the dual role of this network that not only disseminates valuable health information but also, at times, perpetuates inaccurate information that may lead to misinterpretation. In recent years, both institutions (European Commission 2018) and academic researchers (Ferrara 2017; Vosoughi et al. 2018) have highlighted the critical role played by Internet-based networks in the proliferation of misinforming messages. This cross-refers to the critical need to analyze the quality and accuracy of information exchanged on social media platforms, particularly concerning complex health issues, such as skin cancer. Understanding the intricacies of information dissemination and the potential influence of misinformation on social media is imperative in formulating effective communication strategies for the prevention and management of skin cancer.
Amidst this context, it is imperative to gain insights into the unique perspectives and behaviors of the Spanish population regarding this pressing health concern. Spain, like many countries, grapples with the repercussions of an increasing incidence of skin cancer, necessitating a comprehensive understanding of the public’s perceptions and attitudes towards photoprotection. Consequently, the aim of this research is to learn about the feelings and attitudes of the Spanish population regarding photoprotection and skin cancer within the framework of the project “Strategic Communication for the Prevention of Skin Cancer Due to Photoexposure to the Sun” (Comunicancer) funded by the Ministry of Science and Innovation. Specifically, this work is based on the premise of the influence that social media can have on health habits, aims to analyze the conversation about photoprotection on social media to find out what is being talked about on the network, and aims to spot potential risks (such as the aforesaid information disorders or the lack of information) that need to be taken into account when targeting massive audiences that need this information. This knowledge will allow us to understand how skin cancer and photoprotection are represented on social media in order to optimize the effectiveness of prevention communication in this area in the future.

2. Social Media and the Reconfiguration of the Public Sphere

It is hard to remember a world without social media; yet, it has only been present in our lives for two decades. As Al-Deen and Hendricks (2012, p. xv) anticipated, “social media have become an integral part of the contemporary classroom, of advertising and Public relation industries, of political campaigning, and of numerous other aspects of our daily existence”. Its impact transcends the borders of traditional mass communication, allowing different actors to become not only mass receivers but also senders who can equally address potential masses. For Hoskins (2013, p. 7), “the enthusiastic adoption of social media” can be easily interpreted, in fact, as a reaction “to the various deficiencies of the commercial, traditional media, rendering it unfit to constitute the architecture for a public sphere”. Alongside this possible discontent with traditional forms of mass communication, Falzone et al. (2017, p. S86) add that “the ubiquity of smartphones, social media, and Internet access” led to a structural reconfiguration of the dialectics between mass media and their audiences—which is especially true for younger consumers of content. Thelen and Men (2018, p. 1) add that “many organizations, including higher education institutions and their leaders, have adopted and utilized social media as part of their communication efforts”, which certifies an institutional acknowledgement of the predominance of social networks in our everyday life. Villena-Alarcón and Fernandez-Torres (2020, p. 113) also certify that the rule applies beyond the educational and scientific sector: it is difficult to imagine any current remarkable company, anywhere in the world, that has not included social media in its communication strategies. In fact, social media is, frequently, at their core. In this sense, social media has reconfigured the society as a whole—the “latest figures suggest that humanity will spend a combined total of 500 million years using social media in 2024” (Kemp 2024).
Authors such as Tolentino (2019, p. 8) alert, though, of a potentially darker side in this increase in content consumption through new platforms, blaming social media: “where we had once been free to be ourselves online, we were now chained to ourselves online”. The functioning of this process that Tolentino (2019) refers to can be explained by what Seymour (2020, p. 64) calls “variable rewards”, a system used by “most smartphone apps […]: you have to pull the lever to see what you’re going to get”. Seymour (2020, p. 81) also emphasizes that this situation leads to a developed anxiety to keep messages ticked and replied, which he further catalogues as the certification of modern citizenship having changed for good, since users look like “denizens, not citizens, of a machine that keeps us addicted, amid endless boring scrolling” (Seymour 2020, p. 176). Therefore, the impact is not only on how individual receivers consume content nowadays but also on how society as a unit does. With the emergence of the Web 2.0, Shirky (2011) contended that social media would boost the consolidation of the public sphere in both democratic and authoritarian societies. Hoskins added, though, that in doing so, social media had also diluted the boundaries between the public and the private spheres, a process with countless implications. Social media, as a phenomenon, brings along, in the end, a landscape that “is antithetical to the rigid private/public dichotomy essential to Habermas’ formulation and thus constitutes a definitive rupture with that tradition” (Hoskins 2013, p. 3).
Audiences that are dependent on social media and the subsequent impact of these technologies on contemporary societies have become central to understanding their current functioning and/or their impact on many fields such as the communication of science. There is an undeniable impact on a large scale, with evident positive sides, though the aforesaid impact can also lead to consequences that are justifiably concerning. In this respect, Iosifidis and Wheeler (2016, p. 69) insightfully write that “trust and accuracy in the news and information produced and disseminated via social media is open to question”, which leads to a central question that cross-refers to the research we propose in this paper: acknowledging the ubiquitous impact of social media does not necessarily correlate with an accurate representation of its contents. This has several implications for different social actors, like scholars, whose commitment to truth and its accurate dissemination, even as an aspirational goal, is central. The task for these actors is, hence, double. On the one hand, understanding the centrality of social media in our contemporary daily life—discussed in following epigraphs—indirectly calls for an unavoidable presence in such digital environments if they want to effectively deliver key messages and findings to large audiences. On the other hand, acknowledging the potential presence of inaccurate narratives is essential to understanding the critical value of resorting to reliable data for these dissemination campaigns.

2.1. The Impact of X/Twitter on the Public Sphere

The specific impact of X (from this moment on, it will be referred to as X) on society has been recurrently discussed in the academic literature since the very beginning of this social network. Authors like Poch et al. (2020) wondered, for instance, about some potential benefits that can be brought along by the microblogging platform, specifically, in the political sphere, by reducing the gap between rulers and their citizenship, hence fostering a less-mediated conversation. Del Valle et al. (2020, p. 211) point out, in this respect, that X can be a mechanism “to surpass traditional journalistic gatekeepers in information provision to the electorate, to converse directly with citizens”. This effect was already reported by Parmelee and Bichard (2011), who suggested in the early years of the microblogging platform that it was impossible to understand modern political elections without resorting to X as a mechanism of influence. Former advisor to President Barack Obama, Daniel Pfeiffer, has acknowledged that X played a key role in connecting the electorate with president’s ideas (Pfeiffer 2018). His successor in the presidency, Donald Trump, was often referred to as “the Tweeter in Chief” (Parker and Bozeman 2018, p. 398), which seems to confirm a pattern of centrality in the use of X to connect with massive audiences in the public sphere. This raises, though, the question of whether there is an actual conversation between the parties or if it is still just a unidirectional showcase of messages. Gelado-Marcos et al. (2019) note, in this respect, that effective conversation between prominent figures and their followers is far from being a reality, which coincides with the precaution Del Valle et al. (2020) asked for paraphrasing Margetts (2019, p. 116): empirical evidence for such conversation “is both incomplete and inconclusive”.
A lack of effective conversation, though, does not bring into question the impact of X on the content consumption habits of modern audiences. In their early research on the role played by X in the public conversation in Spain, Campos-Domínguez and Calvo (2016, p. 230) concluded that “sports information, sensationalism, and soft news in general, are the types of news that generated higher levels of participation”. More recent studies, however, seem to expand such impact. Smith and Niker (2021, p. 613) point out, for instance, that X and Facebook have become the main source of information for many, “with internet users spending nearly 2.5 h on average on social media sites each day, and recent Ofcom studies showing that nearly half of the UK population use social media to keep up with the latest news stories”.
This cross-refers to the notion of infodemic, a concept that received special academic interest during the COVID-19 pandemic (Cf. García-Marín and Salvat Martinrey 2021; Cinelli et al. 2021). It was the director of the WHO himself who declared that “we’re fighting an infodemic […]. Fake news spreads faster and more easily than this virus, and is just as dangerous” (Ghebreyesus 2020, cited in Singer 2023, p. 332). The concept was later echoed in various academic publications (cf., for instance, Amoedo et al. 2021; Dafonte-Gómez et al. 2022; or Casero-Ripollés et al. 2023), and Alonso-López et al. (2021, p. 69) specifically summarized the relevance of this notion as a result “of the flood—in the form of a parallel pandemic—of false news and related hoaxes”. The danger of an overwhelming quantity of spurious information also goes hand in hand with the lack of information, another hazard that has been pointed out—especially in health emergencies such as the aforementioned COVID-19 pandemic—by authors like Durizzo et al. (2021), who, in their comparative study of how the pandemic was managed in poor urban neighborhoods of Accra and Johannesburg, found that “a considerable share of the population in both countries still lacks important information”.

2.2. Social Media and the Conversation on Cancer Risks and Prevention

X and other social media outlets have indeed branched out to cover a plurality of topics that hint at a massive impact on setting social contexts and on health-related issues. In their research on youth indoor tanning and its risks, Seidenberg et al. (2015, p. 191) recounted, for instance, a campaign launched on social media by the US Center for Disease Control in 2014 “that utilized X and developed three educational posters warning about the dangers of indoor tanning”. Such an early precedent shows the fast acknowledgment of the platform as an effective vehicle to reach potentially vulnerable audiences when it came to increasing awareness towards certain diseases such as skin cancer. Jiménez-Sánchez et al. (2023) analyze the content of the photoprevention communication disseminated on Facebook in Spain by the main organizations committed to the promotion of healthy habits in the context of skin cancer. X has also been a vehicle to gather participants for academic research purposes, e.g., by Vollmann et al. (2020), who tested the awareness of cancer and prevention measures by various audiences, or by Jiménez-Sánchez and Moreno (2023), who analyzed the communication on skin cancer prevention that is disseminated on this platform. These research papers indirectly prove the centrality of social media, in general, and X in particular, in the configuration of collective imageries (also associated to representations of cancer and the measures to prevent it). Furthermore, Jiménez-Sánchez and Moreno (2023) state that X, along with Facebook, is the most used platform by skin cancer prevention broadcasters in Spain, but X is more used in the country amongst youth; hence, it is more likely that audiences could have received prevention communication from X.
In 2016, and on the basis of previous research indicating that exposure to traditional media allowed one to predict “skin cancer risk factors in adolescents”, Mingoia et al. (2017, p. 1502) proposed an examination of social networking sites (SNSs) to test their influence on “skin tone dissatisfaction, sun exposure, and sun protection among Australian adolescents”. In their conclusions, the authors confirmed that “SNS behaviours related to tanning were associated with skin tone dissatisfaction, more frequent sun exposure and less frequent sun protection”, indicating that “future skin cancer interventions aimed at adolescents must address the use of SNSs related to appearance” (Mingoia et al. 2017, p. 1514). Coincidentally, in their review on the role of indoor tanning in skin cancer prevention, Falzone et al. (2017, p. S90) agreed that “skin cancer prevention campaigns leverage social media to reach a broader audience”.
Falzone et al. advocated, thus, for a social-media-oriented strategy to implement information campaigns aimed at fostering cancer prevention. In this regard, the authors highlighted that with “90% of teens and young adults going online daily and spending an average of almost 9 h per day on social media, prevention campaigns have an opportunity to reach a large proportion of this population, including users of indoor tanning” and that “higher rates of indoor tanning are associated with regular Instagram and X use” (Falzone et al. 2017, p. S88). This led the authors to conclude that “social media represents an underutilized and understudied opportunity for the reduction of skin cancer risk factors, especially among adolescents and young adults—the most active users of social media” (Falzone et al. 2017, p. S91). Similarly, in their examination of cancer risks for the tattoo community and opportunities to enhance cancer prevention, Gonzalez et al. (2020, p. 23) highlight that “tattoo artists turn to social media to enhance their training or to gather ideas and diversify their work”, which, for the authors, represents an opportunity “to implement training for tattoo artists and provide skin cancer prevention information to be posted on websites and social media pages”.
As social media continues to shape collective perspectives, especially on health-related topics, such as cancer risks and prevention, it is imperative to consider the dynamic nature of information dissemination within this digital realm. The diverse array of initiatives leveraging platforms like X and other social media channels for health campaigns, as elucidated by the aforementioned studies, underscores the profound influence of these networks in shaping health-related behaviors and attitudes. However, this rapid information dissemination through online platforms has also led to an increase in the circulation of misleading content, raising concerns about the prevalence of misinformation in the context of health communication, particularly regarding skin cancer risks and prevention strategies. The prevalence of disinformation poses a significant challenge in the context of health communication, particularly in the dissemination of accurate and reliable information pertaining to skin cancer risks and prevention strategies. Researchers like Gelado-Marcos et al. (2022) have highlighted the susceptibility of online audiences to misleading content, which indirectly calls for an emphasis on the need to critically evaluate the quality and credibility of information exchanged on social media platforms, including X. This is consonant with studies by other authors like Chen et al. (2021), Seo et al. (2021), or Alonso-López et al. (2021), who have specifically referred to social platforms, such as TikTok, as a network “used mainly by young people who may be more vulnerable to fake news” (Alonso-López et al. 2021, p. 80). This highlights the importance of our investigation into the Spanish population’s engagement with photoprotection and skin cancer information, as it seeks to not only understand the prevailing attitudes and perceptions but also to address the potential impact of misinformation on public health behaviors.

3. Materials and Methods

The research was carried out using a quantitative methodology. Traditionally, the study of citizen attitudes and opinions has been carried out using questionnaires or survey data production processes. Authors such as Rinken (2015) and Mendiguren et al. (2020) claim that citizen attitudes and opinions can only be measured indirectly, i.e., by asking respondents to show their position towards certain events or issues. Nonetheless, surveys present biases, such as the fact that the respondent chooses to answer honestly and take the time to respond responsibly (Cinelli et al. 2021). Related to this bias is also social desirability. Depending on variables such as level of education, prior knowledge of the topic, age, or social class, respondents are predisposed to show opinions contrary to their thinking if their position is not socially accepted or politically correct (Gallacher et al. 2021). The social desirability bias is more evident regarding issues such as gender, racism, or the environment because there is greater social polarization (Larson 2019; Fuentes-Lara and Arcila-Calderón 2023), but we also observe it for health issues, e.g., for photoprotection, where society rejects being judged for not protecting themselves from the sun (Galán et al. 2011).
This article bypasses this circumstance by analyzing social media, as it, especially X, allows us to analyze the attitudes and opinions of society by eliminating the biases of social desirability and temporality—having the time and attention to answer—of the survey (Cinelli et al. 2021). Therefore, with the analysis of social media, it is possible to directly measure the attitudes of citizens to a certain issue (Felt 2016), even more so on X, where, more or less anonymously, speeches, opinions, and attitudes can be disseminated on practically any subject (Ekman 2019), including those related to health.
In this quantitative research, the data production technique was the downloading of messages, specifically tweets, from the social network X. The data production was carried out using the X Application Programming Interface (API) in the Academic Research version. This tool allows the downloading of the history of tweets without temporal limitation, only by setting the specific dates on which the search is to be performed (Arcila Calderón et al. 2020). The X API was connected to Google Colaboratory in order to run and program with the Python software. The filters of localization of the tweet—in this case, Spain—and language—in this research, Spanish—were used. This has been one of the main limitations of the data production, since tweets that did not have localization or in which the language was intelligible for the JSON language were downloaded, which considerably reduced the number of tweets.
The tweets downloaded for analysis were issued from August 2021 to August 2022 by Spanish X users. From this timeframe, 2498 tweets that contained one or more of the keywords—see Table 1—and met the time criteria were downloaded.
After an initial coding in which tweets were eliminated if they were repeated, if they did not correspond to the analyzed topic (using the same keywords but with a different context), if they lacked a logical sense, or if their interpretation depended on a hyperlink or attached images (Arcila Calderón et al. 2020), the final sample was 461 tweets, as shown in Table 2.
Once the first coding was performed to extract the relevant tweets, the second coding of the data was carried out. For the coding, two coders who were experts in the subject and familiar with the codebook prepared for the research were trained. The purpose of the training was to avoid possible biases and subjectivities in the interpretation of the tweets (Vrysis et al. 2021). Additionally, in order to ensure the reliability of the measures, an intercoder test was performed on 10% of the initial sample, i.e., 250 messages. The intercoding was performed with all the variables coded, producing values above 0.7 in Cohen’s kappa statistic, which is acknowledged as an adequate reliability.
Coding was carried out according to the variables designed prior to data production and categorized in the research codebook. For data analysis, a univariate descriptive analysis (frequency analysis) of the selected variables was performed. The data analysis was performed with SPSS statistical software version 23.

4. Results

In this paper, different variables related to the messages posted by users on social networks about skin cancer prevention and photoprotection were analyzed.
The variables analyzed in this research are the relevance of the message, the objective of the message, the main topic of the post, the causes of the post, the existence of primary and secondary prevention tools for skin cancer and the type of prevention, and the tenure and typology of treatment.
When posting messages about photoprotection and/or skin cancer, X users set the relevance specifically on skin cancer (61.9%), followed by photoprotection (23.8%), and by both topics together (14.3%) (see Table 3).
Practically all the messages are intended to inform (89.6%) about some issue related to photoprotection and/or skin cancer, while 5.4% of the messages seek to express an opinion, and 5% are of a commercial nature. The purpose of the messages is particularly relevant, since they are messages of the user’s own elaboration; i.e., all those that are retweets or come from another social media platform have been excluded.
Regarding the main topic of the post, a little over half of the X users focus on melanoma (50.6%), a greater amount than those that focus on photoprotection (30.1%) and skin cancer in general (17.6%) (see Table 4).
Most tweets do not allude to the causes of skin cancer (80.8%); only sun exposure is relevant (15.9%). In addition, very few posts mention tanning booths as a cause (0.9%) or other causes, including genetics (2.4%).
Messages referring to both primary and secondary prevention factors are very scarce (Tabbakh et al. 2019; Tizek et al. 2019; García-Montero et al. 2020)—primary prevention amounted to 11.5%, whereas secondary prevention only represented 3%. Primary prevention factors are those referring to protective barriers for UV exposure. These messages are unified in avoiding the use of tanning booths (90%). Secondary prevention factors are those focused on therapeutic care and skin self-examination. These messages focus on the importance of visiting the doctor (56.3%), as can be seen in Table 5.
Regarding treatment, only 6.7% of the messages analyzed refer to skin cancer treatments and photoprotection. Of the different types of treatment, such as biomedical—which would be surgeries, radiotherapy, chemotherapy, immunology, etc.—alternative treatments—such as herbs, foods, etc.—or other types of unspecified treatments, established biomedical treatment were the most prevalent (61.1%) in the tweets.
Summarizing, we can state that the conversation about the second-most prevalent cancer nowadays could be organized into three aspects. The narrative is focused on two prevalent aspects: secondary prevention and primary prevention regarding indoor tanning. However, primary prevention of sun photo exposure is a residual topic. Considering that sun exposure is the main carcinogen factor for skin cancer, these results on the X narrative demonstrate significant levels of misinformation that can affect the ability of people to perform health-seeking behaviors.
To conclude, it was found that most of the messages were intended to inform about issues related to photoprotection and skin cancer. Only a small percentage of the posts sought to express an opinion or were of a commercial nature. As for the main topic of the post, more than half focused on melanoma, followed by photoprotection and skin cancer in general. These results show the importance that users grant to skin cancer prevention in their posts on social networks.

5. Conclusions

The results of our investigation reinforce, above all, the urgent need to generate more social awareness about skin cancer and the importance of effective sun photoprotection in Spanish society. As it has been observed, the results of this research show that the content on social media, specifically on X—as the social media analyzed in this investigation—is scarce and limited in terms of content diversity. This cross-refers to some of the conclusions observed in the literary review previously summarized in our theoretical framework, which not only warned about the dangers of disinformation but also those derived from the lack of information, which can technically not be labelled as disinforming, but which also do not accomplish the main goal that information has: a reduction in entropy on a given subject. The scarcity of information related to skin cancer found in our research is in agreement with some of the previous findings listed in our literary review, which portrayed X as a network more prone to “soft news”—skin cancer and cancer protection should, rather, be considered as “hard news” due to the obvious scientific implications derived from the nature of this content.
Practically all the tweets analyzed were informative, with very few messages showing attitudes, feelings, or opinions on skin cancer or photoprotection. This result, which, a priori, may seem positive due to the importance of raising awareness through information to society and, even more so, due to our knowledge about the importance of social media for informing about health and skin cancer (Seidl et al. 2018), is not encouraging due to the content of the messages. Although the main topic in half of the analyzed tweets focuses on melanoma and almost one third of the messages focus on sun photoprotection, the content of the messages does not focus on the causes that lead to skin cancer, prevention barriers—primary or secondary—or on treatments for skin cancer.
The main conclusion reached in this research is that despite how seriously skin cancer affects society, this is not a debate that has been transferred to social media in Spain, as can be seen in the fact that only 18.2% of the tweets that contained the words of the research were valid for analysis. In turn, those messages that do address skin cancer and/or sun photoprotection do not address the key issues to create social awareness. This is especially true regarding the need for photoprotection using prevention factors such as primary and/or secondary barriers.
This article started from the premise that social media can exert an influence on health habits and proceeded to analyze the conversation about photoprotection on social media. It should be noted that, although the influence of social media is clear (Bloom et al. 2015), this conversation has not yet been implemented on X. This is especially worrying in the case of Spanish youth since, as much research points out (Wu et al. 2018; Tabbakh et al. 2019), sun photoprotection during youth and adolescence are vital in order not to develop skin cancer.
In summary, greater social awareness and a greater diversity of content on social media is required to address the problem of skin cancer and promote appropriate sun protection.
Finally, it should be noted that the results and conclusions of this research are of vital importance to guide strategic communication on skin cancer and photoprotection, both in associations whose goal is prevention and in the academic world. The systematic study of audiences in the strategic planning process of public relations and their understanding of accurate or incomplete and misleading information is of vital importance to achieve sustainable healthy societies.

Author Contributions

Conceptualization, C.F.-L., S.L.P.B. and M.L.H.; methodology, C.F.-L. and M.L.H.; software, C.F.-L.; formal analysis, C.F.-L.; data curation, M.L.H. and L.J.S.; writing—C.F.-L. and S.L.P.B.; writing—review and editing, C.F.-L., S.L.P.B. and M.L.H.; visualization, S.L.P.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Spanish Ministry of Science and Innovation, grant number I+D+I/PID2020-116487RB-100 and the APC was also funded by the Spanish Ministry of Science and Innovation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Academia Española de Dermatología y Venereología (AEDV). 2023. Notas De Prensa. Available online: https://aedv.es/comunicacion/notas-de-prensa/ (accessed on 10 March 2024).
  2. Agencia Estatal de Meteorología (AEMET). 2023. Atlas de Radiación Solar en España. Available online: https://www.aemet.es/es/serviciosclimaticos/datosclimatologicos/atlas_radiacion_solar (accessed on 10 March 2024).
  3. Al-Deen, Hana S. Noor, and John Allen Hendricks. 2012. Social Media: Usage and Impact. Lanham: Lexington Books. [Google Scholar]
  4. Alonso-López, Nadia, Pavel Sidorenko Bautista, and Fábio Giacomelli. 2021. Beyond challenges and viral dance moves: TikTok as a vehicle for disinformation and fact-checking in Spain, Portugal, Brazil, and the USA. Anàlisi: Quaderns de Comunicació i Cultura 64: 65–84. [Google Scholar] [CrossRef]
  5. American Cancer Society. 2014. Cancer Facts & Figures 2014. Available online: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2014.html (accessed on 10 November 2023).
  6. American Cancer Society. 2015. Cancer Facts & Figures 2015. Available online: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2015.html (accessed on 10 November 2023).
  7. Amoedo, Avelino, Alfonso Vara-Miguel, Samuel Negredo, Elsa Moreno, and Jürg Kaufmann-Argueta, eds. 2021. Digital News Report España 2021. Periodismo de calidad y cercanía para combatir la infodemia. Digital UNAV—Center for Internet Studies and Digital Life. Pamplona: Universidad de Navarra. Available online: https://www.digitalnewsreport.es/ (accessed on 10 March 2024).
  8. Arcila Calderón, Carlos, David Blanco-Herrero, and María Belén Valdez Apolo. 2020. Rechazo y discurso de odio en Twitter Análisis de contenido de los tuits sobre migrantes y refugiados en español. Revista Española de Investigaciones Sociológicas 172: 21–40. [Google Scholar] [CrossRef]
  9. Asociación Española Contra el Cáncer (AECC). 2021. Cáncer de Piel. Madrid: Asociación Española Contra el Cáncer. Available online: https://www.contraelcancer.es/es/todo-sobre-cancer/tipos-cancer/cancer-piel (accessed on 10 March 2024).
  10. Asociación Española de Dermatología y Venerología (AEDV). 2022. Consulta el Libro Blanco del Cáncer de Piel. Available online: https://aedv.es/consulta-libro-blanco-del-cancer-de-piel/ (accessed on 10 March 2024).
  11. Bloom, Romi, Kyle T. Amber, Sasha Hu, and Robert Kirsner. 2015. Google search trends and skin cancer: Evaluating the US population’s interest in skin cancer and its association with melanoma outcomes. JAMA Dermatology 151: 903–5. [Google Scholar] [CrossRef]
  12. Campos-Domínguez, Eva, and Dafne Calvo. 2016. Participation and Topics of Discussion of Spaniards in the Digital Public Sphere. Communication & Society 29: 219–32. [Google Scholar] [CrossRef]
  13. Casero-Ripollés, Andreu, Hugo Doménech-Fabregat, and Laura Alonso-Muñoz. 2023. Perceptions of Spanish citizens about disinformation in times of COVID-19: Effects and mechanisms to fight against false news. ICONO 14. Scientific Journal of Communication and Emerging Technologies 14: 21. [Google Scholar] [CrossRef]
  14. Chen, Chi-Ying, Mike Kearney, and Shao-Liang Chang. 2021. Belief in or Identification of False News According to the Elaboration Likelihood Model. International Journal of Communication 15: 1263–85. [Google Scholar]
  15. Cinelli, Matteo, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. 2021. The echo chamber effect on social media. Proceedings of the National Academy of Sciences 118: e2023301118. [Google Scholar] [CrossRef] [PubMed]
  16. Dafonte-Gómez, Alberto, María-Isabel Míguez-González, and Xabier Martínez-Rolán. 2022. Los fact checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook. Observatorio (OBS*) Journal 16: 160–82. [Google Scholar] [CrossRef]
  17. Del Valle, Marc Esteve, Rimmert Sijtsma, Hanne Stegeman, and Rosa Borge. 2020. Online Deliberation and the Public Sphere: Developing a Coding Manual to Assess Deliberation in Twitter Political Networks. Javnost—The Public 27: 211–29. [Google Scholar] [CrossRef]
  18. Durizzo, Kathrin, Edward Asiedu, Antoinette Van der Merwe, Attie Van Niekerk, and Isabel Günther. 2021. Managing the COVID-19 pandemic in poor urban neighborhoods: The case of Accra and Johannesburg. World Development 137: 105175. [Google Scholar] [CrossRef]
  19. Ekman, Mattias. 2019. Anti-immigration and racist discourse in social media. European Journal of Communication 34: 606–18. [Google Scholar] [CrossRef]
  20. European Commission. 2018. Tackling Online Disinformation: A European Approach. Brussels, 26.4.2018 COM(2018) 236 Final. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52018DC0236 (accessed on 10 November 2023).
  21. Falzone, Ashley E., Claire D. Brindis, Mary-Margaret Chren, Alexandra Junn, Sherry Pagoto, Mackenzie Wehner, and Eleni Linos. 2017. Teens, Tweets, and Tanning Beds: Rethinking the Use of Social Media for Skin Cancer Prevention. American Journal of Preventive Medicine 53: S86–S94. [Google Scholar] [CrossRef] [PubMed]
  22. Felt, Myllyn. 2016. Social media and the social sciences: How researchers employ Big Data analytics. Big Data & Society 3: 1. [Google Scholar] [CrossRef]
  23. Ferrara, Emilio. 2017. Measuring Social Spam and the Effect of Bots on Information Diffusion in Social Media. Berlin: Springer, pp. 229–55. [Google Scholar] [CrossRef]
  24. Fuentes-Lara, Cristina, and Carlos Arcila-Calderón. 2023. El discurso de odio islamófobo en las redes sociales: Un análisis de las actitudes ante la islamofobia en Twitter. Revista Mediterránea de Comunicación/Mediterranean Journal of Communication 14: 1. [Google Scholar] [CrossRef]
  25. Galán, Iñaki, Ángel Rodríguez-Laso, Lucía Díez-Gañán, and Enrique Cámara. 2011. Prevalencia y factores relacionados con las conductas de riesgo de cáncer de piel en Madrid (España). Gaceta Sanitaria 25: 44–49. [Google Scholar] [CrossRef]
  26. Gallacher, John D., Mark W. Heerdink, and Miles Hewstone. 2021. Online engagement between opposing political protest groups via social media is linked to physical violence of offline encounters. Social Media + Society 7: 2056305120984445. [Google Scholar] [CrossRef]
  27. García-Marín, David, and Guiomar Salvat Martinrey. 2021. Investigación sobre desinformación en España. Análisis de tendencias temáticas a partir de una revisión sistematizada de la literatura. Fonseca, Journal of Communication 23: 199–225. [Google Scholar] [CrossRef]
  28. García-Montero, Pablo, María Victoria de Gálvez-Aranda, Nuria Blázquez-Sánchez, Francisco Rivas-Ruíz, José Francisco Millán-Cayetano, Cristina García-Harana, and Magdalena de Troya Martín. 2020. Quality of life during treatment for cervicofacial non-melanoma skin cancer. Journal of Cancer Education 37: 196–202. [Google Scholar] [CrossRef]
  29. Gelado-Marcos, Roberto, Mariché Navío-Navarro, and Rainer Rubira-García. 2019. Comunicando en los nuevos entornos. El impacto de Twitter en la comunicación política Española. Revista Mediterránea de Comunicación 10: 73–84. [Google Scholar] [CrossRef]
  30. Gelado-Marcos, Roberto, Plácido Moreno-Felices, and Belén Puebla-Martínez. 2022. Disinformation as a Widespread Problem and Vulnerability Factors toward it: Evidence from a Quasi-Experimental Survey in Spain. International Journal of Communication 16: 3599–625. [Google Scholar]
  31. Ghebreyesus, Tedros Adhanom. 2020. Address to Munich Security Conference. Available online: https://www.who.int/director-general/speeches/detail/munich-security-conference (accessed on 10 March 2024).
  32. Gonzalez, Cristian D., Barbara J. Walkosz, and Robert P. Dellavalle. 2020. Aftercare Instructions in the Tattoo Community: An Opportunity to Educate on Sun Protection and Increase Skin Cancer Awareness. Journal of Clinical and Aesthetic Dermatology 13: 22–24. [Google Scholar]
  33. Gupta, Piyush B., Ievgenia Pastushenko, Adam Skibinski, Cedric Blanpain, and Charlotte Kuperwasser. 2019. Phenotypic plasticity: Driver of cancer initiation, progression, and therapy resistance. Cell Stem Cell 24: 65–78. [Google Scholar] [CrossRef] [PubMed]
  34. Hoskins, Guy Thurston. 2013. Meet the Habermasses: Charting the Emergence of a Social Media-Enabled Public Sphere in New Democracies. The International Journal of Technology, Knowledge, and Society 9: 25–42. [Google Scholar] [CrossRef]
  35. International Agency for Research on Cancer. 2022. Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040. Available online: https://www.iarc.who.int/wp-content/uploads/2022/03/pr311_E.pdf (accessed on 10 November 2023).
  36. Iosifidis, Petros, and Mark Wheeler. 2016. Public Spheres and Mediated Social Media in the Western Context and beyond. London: Springer. [Google Scholar] [CrossRef]
  37. Jiménez-Sánchez, Lara, and Ángeles Moreno. 2023. Comunicación Para Prevenir El cáncer De Piel: Un análisis Del Uso estratégico De La Red Social Twitter En España. Revista de Ciencias de la Comunicación e Información 28: 190–205. [Google Scholar] [CrossRef]
  38. Jiménez-Sánchez, Lara, Moreno Ángeles, and Ileana Zeler. 2023. Comunicación para la prevención de cáncer de piel: Un análisis del uso de Facebook para la comunicación de salud en España, Redmarka. Revista de Marketing Aplicado 27: 78–94. [Google Scholar] [CrossRef]
  39. Kasparian, Nadine A., Shab Mireskandari, Phyllis N. Butow, Mbathio Dieng, Anne E. Cust, Bettina Meiser, Kristine Barlow-Stewart, Scott Menzies, and Graham J. Mann. 2016. Melanoma: Questions and answers. Development and evaluation of a psycho-educational resource for people with a history of melanoma. Supportive Care in Cancer 24: 4849–59. [Google Scholar] [CrossRef]
  40. Kemp, Simon. 2024. Digital 2024: Global Overview Report—DataReportal—Global Digital Insights. Available online: https://datareportal.com/reports/digital-2024-global-overview-report (accessed on 10 March 2024).
  41. Larson, Ronald B. 2019. Controlling social desirability bias. International Journal of Market Research 61: 534–47. [Google Scholar] [CrossRef]
  42. Margetts, Helen. 2019. Rethinking Democracy with Social Media. The Political Quarterly 90: 107–23. [Google Scholar] [CrossRef]
  43. Mendiguren, Terese, Jesús Pérez Dasilva, and Koldobika Meso Ayerdi. 2020. Actitud ante las Fake News: Estudio del caso de los estudiantes de la Universidad del País Vasco. Revista de Comunicación 19: 171–84. [Google Scholar] [CrossRef]
  44. Mingoia, John, Amanda D. Hutchinsona, David H. Gleavesa, Nadia Corsini, and Carlene Wilsona. 2017. Use of social networking sites and associations with skin tone dissatisfaction, sun exposure, and sun protection in a sample of Australian adolescents. Psychology & Health 32: 1502–17. [Google Scholar] [CrossRef]
  45. Nahar, Vinayak K., Amanda H. Wilkerson, Ghazal Ghafari, Brian Martin, William H. Black, Javier F. Boyas, Marcelle Savoy, George Bawa, F. C. Stafford, Jr., M. Scott, and et al. 2018. Skin cancer knowledge, attitudes, beliefs, and prevention practices among medical students: A systematic search and literature review. International Journal of Women’s Dermatology 4: 139–49. [Google Scholar] [CrossRef] [PubMed]
  46. Nunes, Michelle Darezzo Rodrigues, Emiliana Bomfim, Karin Olson, Luis Carlos Lopes-Junior, Fernanda Machado Silva-Rodrigues, Regina Aparecida Garcia de Lima, and Lucila Castanheira Nascimento. 2018. Interventions minimizing fatigue in children/adolescents with cancer: An integrative review. Journal of Child Health Care 22: 186–204. [Google Scholar] [CrossRef]
  47. Parker, Marla, and Barry Bozeman. 2018. Social Media as a Public Values Sphere. Public Integrity 20: 386–400. [Google Scholar] [CrossRef]
  48. Parmelee, John H., and Shannon L. Bichard. 2011. Politics and the Twitter Revolution: How Tweets Influence the Relationship between Political Leaders and the Public. Lanham: Lexington Books. [Google Scholar] [CrossRef]
  49. Pfeiffer, Dan. 2018. Yes We (Still) Can: Politics in the Age of Obama, Twitter and Trump. Hull: Biteback Publishing. [Google Scholar]
  50. Poch, Butler, Santana Lois, Javier Figuero-Espadas, and Roberto Gelado-Marcos. 2020. La dialéctica de la inmigración y el sueño europeo en los discursos de los políticos españoles. Un análisis de caso en Twitter. IROCAMM-International Review of Communication and Marketing Mix 2: 44–59. [Google Scholar] [CrossRef]
  51. Rinken, Sebastián. 2015. Actitudes hacia la inmigración y los inmigrantes: ¿en qué es España excepcional? Migraciones. Publicación del Instituto Universitario de Estudios sobre Migraciones 37: 53–74. [Google Scholar] [CrossRef]
  52. Seidenberg, Andrew B., Aditya Mahalingam-Dhingra, Martin A. Weinstock, Craig Sinclair, and Alan C. Geller. 2015. Youth Indoor Tanning and Skin Cancer Prevention. Lessons from Tobacco Control. American Journal of Preventive Medicine 48: 188–94. [Google Scholar] [CrossRef]
  53. Seidl, Stefanie, Barbara Schuster, Melvin Rüth, Tilo Biedermann, and Alexander Zink. 2018. What do Germans want to know about skin cancer? A nationwide Google search analysis from 2013 to 2017. Journal of Medical Internet Research 20: e10327. [Google Scholar] [CrossRef]
  54. Seo, Hyunjin, Matthew Blomberg, Darcey Altschwager, and Hong Tien Vu. 2021. Vulnerable populations and misinformation: A mixed-methods approach to underserved older adults’ online information assessment. New Media & Society 23: 2012–33. [Google Scholar] [CrossRef]
  55. Seymour, Richard. 2020. The Twittering Machine. London: Verso Books. [Google Scholar]
  56. Shirky, Clay. 2011. The Political Power of Social Media. Technology, the Public Sphere, and Political Change. Foreign Affairs 90: 28–41. [Google Scholar]
  57. Singer, Jane B. 2023. Closing the Barn Door? Fact-Checkers as Retroactive Gatekeepers of the COVID-19 “Infodemic”. Journalism & Mass Communication Quarterly 100: 332–53. [Google Scholar] [CrossRef]
  58. Smith, Leonie, and Fay Niker. 2021. What Social Media Facilitates, Social Media should Regulate: Duties in the New Public Sphere. Public Opinion Quarterly 92: 613–22. [Google Scholar] [CrossRef]
  59. Sotoudeh, Ahmad, Seyed Saeed Mazloomy Mahmoodabad, Ali Akbar Vaezi, Mojtaba Fattahi Ardakani, and Reza Sadeghi. 2020. Determining skin cancer protective behaviors in the light of the protection motivation theory among sailors in Bandar-Bushehr in the south of Iran. Asian Pacific Journal of Cancer Prevention APJCP 21: 3551. [Google Scholar] [CrossRef] [PubMed]
  60. Stern, Robert S. 2010. Prevalence of a history of skin cancer in 2007: Results of an incidence-based model. Archives of Dermatology 146: 279–82. [Google Scholar] [CrossRef]
  61. Tabbakh, Tamara, Angela Volkov, Melanie Wakefield, and Suzanne Dobbinson. 2019. Implementation of the SunSmart program and population sun protection behaviour in Melbourne, Australia: Results from cross-sectional summer surveys from 1987 to 2017. PLoS Medicine 16: e1002932. [Google Scholar] [CrossRef]
  62. Thelen, Patrick, and Linjuan Rita Men. 2018. Strategic Use of Facebook for Public Engagement in Higher Education Institutions. Public Relations Journal 12: 1–27. [Google Scholar]
  63. Tizek, L., M. C. Schielein, F. Seifert, T. Biedermann, A. Böhner, and A. Zink. 2019. Skin diseases are more common than we think: Screening results of an unreferred population at the Munich Oktoberfest. Journal of the European Academy of Dermatology and Venereology: JEADV 33: 1421–28. [Google Scholar] [CrossRef]
  64. Tolentino, Jia. 2019. Trick Mirror: Reflections on Self-Delusion. New York: Random House Publishing Group. [Google Scholar]
  65. Villena-Alarcón, Eduardo, and María Jesús Fernandez-Torres. 2020. Relaciones con los públicos a través de Instagram: Los influencers de belleza como caso de estudio. Revista Internacional de Relaciones Públicas 19: 111–32. [Google Scholar] [CrossRef]
  66. Vollmann, Manja, Gabriela Engelhardt, and Christel Salewski. 2020. Effects of a brief multimodal onlinen intervention on the intention to conduct sun protective behaviours through targeting illness representations about skin cancer: A randomized controlled trial. Psychology & Health 36: 253–70. [Google Scholar] [CrossRef]
  67. Vosoughi, Soroush, Deb Roy, and Sinan Aral. 2018. The Spread of True and False News Online. MIT Iniciative on the Digital Economy Research Brief. Available online: http://ide.mit.edu/sites/default/files/publications/2017%20IDE%20Research%20Brief%20False%20News.pdf (accessed on 10 November 2023).
  68. Vrysis, Lazaros, Nikolaos Vryzas, Rigas Kotsakis, Theodora Saridou, Maria Matsiola, Andreas Veglis, Carlos Arcila-Calderón, and Charalampos Dimoulas. 2021. A Web interface for analyzing hate speech. Future Internet 13: 80. [Google Scholar] [CrossRef]
  69. World Health Organization. 2009. World Health Statistics 2009. Available online: https://cdn.who.int/media/docs/default-source/gho-documents/world-health-statistic-reports/en-whs09-full.pdf?sfvrsn=88ee21c8_2 (accessed on 10 November 2023).
  70. Wu, Wu-Qiang, Qi Wang, Yanjun Fang, Yuchuan Shao, Shi Tang, Yehao Deng, Haidong Lu, Ye Liu, Tao Li, Zhibin Yang, and et al. 2018. Molecular doping enabled scalable blading of efficient hole-transport-layer-free perovskite solar cells. Nature Communications 9: 1625. [Google Scholar] [CrossRef] [PubMed]
Table 1. Keywords used in the search for tweets.
Table 1. Keywords used in the search for tweets.
Keywords
#tanning#skincancer
#cancer#photoprotection
#melanoma#photoprevention
#sun#suncream
#burn
Source: own elaboration.
Table 2. Valid and invalid tweets.
Table 2. Valid and invalid tweets.
Valid TweetsInvalid Tweets
FrequencyPercentageFrequencyPercentage
46118.5%203681.5%
Source: own elaboration.
Table 3. Relevance of the message.
Table 3. Relevance of the message.
Type of RelevancePercentage
Relevance of skin cancer61.9%
Relevance of photoprotection23.8%
Relevance of skin cancer and photoprotection14.3%
Source: own elaboration.
Table 4. Main topic of the publication.
Table 4. Main topic of the publication.
Main TopicPercentage
Skin cancer in general17.6%
Melanoma50.6%
Squamous cell carcinoma1.1%
Basal cell carcinoma0.6%
Photoprotection30.1%
Source: own elaboration.
Table 5. Types of primary and secondary prevention.
Table 5. Types of primary and secondary prevention.
PreventionTipePercentage
Avoid tanning boothsPrimary90.0%
Avoid being outdoors during peak hoursPrimary1.3%
Stay in the shade during peak hoursPrimary0.2%
Wear sunglassesPrimary0.4%
Use sunscreenPrimary8%
Seeing a doctorSecondary56.3%
Self-checkSecondary25.0%
Warning signsSecondary18.8%
Source: own elaboration.
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MDPI and ACS Style

Fuentes-Lara, C.; Poch Butler, S.L.; Humanes, M.L.; Jiménez Sánchez, L. Photoprotection and Skin Cancer on X/Twitter: Analysis of Misinformation, Communication Challenges, and Attitudes in the Spanish Community. Journal. Media 2024, 5, 432-443. https://doi.org/10.3390/journalmedia5010028

AMA Style

Fuentes-Lara C, Poch Butler SL, Humanes ML, Jiménez Sánchez L. Photoprotection and Skin Cancer on X/Twitter: Analysis of Misinformation, Communication Challenges, and Attitudes in the Spanish Community. Journalism and Media. 2024; 5(1):432-443. https://doi.org/10.3390/journalmedia5010028

Chicago/Turabian Style

Fuentes-Lara, Cristina, Santana Lois Poch Butler, María Luisa Humanes, and Lara Jiménez Sánchez. 2024. "Photoprotection and Skin Cancer on X/Twitter: Analysis of Misinformation, Communication Challenges, and Attitudes in the Spanish Community" Journalism and Media 5, no. 1: 432-443. https://doi.org/10.3390/journalmedia5010028

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