Climate change by any other name: Social representations and language practices of coastal inhabitants on Mayotte Island in the Indian Ocean

As population-related climate change research increases, so does the need to nuance approaches to this complex phenomenon, including issues related to cultural and linguistic translations. To explore how climate change is understood in understudied societies, a case-study approach is taken to address social representations of climate change by inhabitants of a Maore village in the French island of Mayotte. The study explores how local fishers understand the issue when considering observed environmental changes. Based on analyses of 30 interviews, the study found that social representations and related climate change discourses are not well established, except for individuals in close contact with French institutions. Issues regarding local culture and language reveal the importance of understanding the different components of climate change. Climate change communication and awareness-raising on the island are explored, as well as considerations of culturally and linguistically complex settings with a Global North/Global South interface.

Free word association analysis of German laypeople's perception of biodiversity and its loss

Due to the dramatic biodiversity crisis, it is crucial to understand how people perceive biodiversity. Knowledge of how thoughts are organized around this concept can identify which ideas are best to focus on biodiversity conservation information campaigns. The primary aim of the present study was to identify social representations of the German public regarding the concept of biodiversity and its loss using a free word association test. Furthermore, unique association networks were analyzed. For this purpose, data collection was performed in September 2021 in Germany using an online questionnaire to assess participants' associations with the prompt "biodiversity" (n  = 131) and "biodiversity loss" (n  = 130). Additionally, we used the social network software Gephi to create biodiversity (loss) association networks. The five most commonly mentioned associations for biodiversity were "animal," "plant," "nature," "human," and "flower." For biodiversity loss, the five most commonly mentioned associations were "species extinction," "climate change," "plant," "insect," and "bee." Neither "land use change" nor "invasive species," as key drivers of biodiversity loss, were present in social representations of the German public. A difference was observed in the total number of mentioned associations between biodiversity and biodiversity loss. For both, the associations "plant" and "animal" were related. However, participants associated specific taxa only with animals, such as "insects" and "birds." For plants, no specific taxa were named. Based on the network analysis, the most commonly mentioned word pairs for biodiversity and biodiversity loss were "plant - animal" and "species loss - climate change," respectively. Based on our statistical network analysis, these associations were identified as the most central associations with the greatest influence in the network. Thus, they had the most connections and the function of predicting the flow in the network. In sum, the public's multifaceted views on biodiversity and its loss, as well as the aforementioned central associations, hold great potential to be utilized more for the communication and education of biodiversity conservation. In addition, our findings contribute to the scientific community's understanding of social representations and perceptions of biodiversity and its loss.

#Nomask on Instagram: Exploring Visual Representations of the Antisocial Norm on Social Media

Social media (SM) functions such as hashtags and photo uploading can enrich and expedite user interactions, but can also facilitate the online spread of antisocial norms. Mask aversion is one such antisocial norm shared on SM in the current COVID-19 pandemic circumstances. This study utilized the social representation theory (SRT) to explore how mask aversion is visually represented in the Instagram photos tagged with #NoMask. It examined the overall content of the photos, the characteristics of the faces portrayed in the photos, and the presented words in the photos. Additionally, the study grouped the photos through k-means clustering and compared the resulting clusters in terms of content, characteristics of the faces, presented words, pixel-level characteristics, and the public’s responses to the photos. The results indicate that people, especially human faces, were visually represented the most in the Instagram photos tagged with #NoMask. Two clusters were generated by k-means clustering—Text-centered and people-centered. The visual representations of the two clusters differed in terms of content characteristics and pixel-level attributes. The texts presented in the photos manifested a unique way of delivering key messages. The photos of the people-centered cluster received more positive comments than the text-centered one; however, the two clusters were not significantly different in eliciting engagement. This study can contribute to expanding the scope of SRT to visual representations and hashtag movements.

Outlining the role of experiential expertise in professional work in health care service co-production

Patient and public involvement is widely thought to be important in the improvement of health care delivery and in health equity.Purpose: The article examines the role of experiential knowledge in service co-production in order to develop opiate substitution treatment services (OST) for high-risk opioid users.Method: Drawing on social representations theory and the concept of social identity, we explore how experts’ by experience and registered nurses’ understandings of OST contain discourses about the social representations, identity, and citizenship of the participants and the effects these may have on developing or hindering inclusive and bottom-up forms of patient and public involvement.Results: The meeting sessions that potentially offer room for creativity and problem-solving fail to provide any new propositions for fixing the system. The health care professionals primarily identify themselves as regulators who protect the correctness of their actions and show little interest in considering experiential knowledge on opioid addiction. Conclusion: The participation of patients has been one of the prominent reforms implemented in health care. The goal of client-centered thinking is often emphasised; however, the implementation is not simple due to the strongly institutionalised knowledge and related working patterns and practices in health care.

Dynamic social representations of the 2009 H1N1 pandemic: Shifting patterns of sense-making and blame

We investigate dynamics of public perceptions of the 2009 H1N1 influenza pandemic to understand changing patterns of sense-making and blame regarding the outbreak of emerging infectious diseases. We draw on social representation theory combined with a dramaturgical perspective to identify changes in how various collectives are depicted over the course of the pandemic, according to three roles: heroes, villains and victims. Quantitative results based on content analysis of three cross-sectional waves of interviews show a shift from mentions of distant collectives (e.g., far-flung countries) at Wave 1 to local collectives (e.g., risk groups) as the pandemic became of more immediate concern (Wave 2) and declined (Wave 3). Semi-automated content analysis of media coverage shows similar results. Thematic analyses of the discourse associated with collectives revealed that many were consistently perceived as heroes, villains and victims.