Text-image relationships in tweets : shaping the meanings of an epidemic

1. Background: While many studies analyze the functions that images can fulfill during humanitarian crises or catastrophes, an understanding of how meaning is constructed in text-image relationships is lacking. This article explores how discourses are produced using different types of text-image interactions. It presents a case study focusing on a humanitarian crisis, more specifically the sexual transmission of Ebola. 2. Methods: Data were processed both quantitatively and qualitatively through a keyword-based selection. Tweets containing an image were retrieved from a database of 210,600 tweets containing the words "Ebola" and "semen", in English and in French, over the course of 12 months. When this first selection was crossed with the imperative of focusing on a specific thematic (the sexual transmission of Ebola) and avoiding off-topic text-image relationships, it led to reducing the corpus to 182 tweets. 3. Results: The article proposes a four-category classification of text-image relationships. Theoretically, it provides original insights into how discourses are built in social media; it also highlights the semiotic significance of images in expressing an opinion or an emotion. 4. Conclusion: The results suggest that the process of signification needs to be rethought: Content enhancement and dialogism through images have a bearing on Twitter's use as a public sphere, such as credibilization of discourses or politicization of events. This opens the way to a new, more comprehensive approach to the rhetorics of users on Twitter

Tracking online heroisation and blame in epidemics

The ongoing coronavirus disease 2019 (COVID-19) outbreak is giving rise to worldwide anxieties, rumours, and online misinformation. But it offers an opportunity to put into practice some lessons learned in studies of social media during epidemics, particularly with respect to the dynamics of online heroisation and blame

Patterns of growth and skeleton maturity in Risso's dolphins, Grampus griseus, from Taiwanese waters

Introduction: The 2013-2015 outbreak of Ebola was by far the largest to date, affecting Guinea, Liberia, Sierra Leone, and secondarily, Nigeria, Senegal and the United States. Such an event raises questions about the circulation of health information across social networks. This article presents an analysis of tweets concerning a specific theme: the sexual transmission of the virus by survivors, at a time when there was a great uncertainty about the duration and even the possibility of such transmission. Methods: This article combines quantitative and qualitative analysis. From a sample of 50,000 tweets containing the words "Ebola" in French and English, posted between March 15 and November 8, 2014, we created a graphic representation of the number of tweets over time, and identified two peaks: the first between July 27 and August 16, 2014 (633 tweets) and the second between September 28 and November 8, 2014 (2,577 tweets). This sample was divided into two parts, and every accessible publication was analyzed and coded according to the authors' objectives, feelings expressed and/or publication type. Results: While the results confirm the significant role played by mainstream media in disseminating information, media did not create the debate around the sexual transmission of Ebola and Twitter does not fully reflect mainstream media contents. Social media rather work like a "filter": in the case of Ebola, Twitter preceded and amplified the debate with focusing more than the mainstream media on the sexual transmission, as expressed in jokes, questions and criticism. Discussion: Online debates can of course feed on journalistic or official information, but they also show great autonomy, tinged with emotions or criticisms. Although numerous studies have shown how this can lead to rumors and disinformation, our research suggests that this relative autonomy makes it possible for Twitter users to bring into the public sphere some types of information that have not been widely addressed. Our results encourage further research to understand how this "filter" works during health crises, with the potential to help public health authorities to adjust official communications accordingly. Without a doubt, the health authorities would be well advised to put in place a special watch on the comments circulating on social media (in addition to that used by the health monitoring agencies)

Les rumeurs du blâme en temps d'épidémie

Les Entretiens d'Auxerre, Auxerre, FRA,

Blood libel rebooted : traditional scapegoats, online media, and the H1N1 epidemic

This study of comments posted on major French print and TV media websites during the H1N1 epidemic illustrates the relationship between the traditional media and social media in responding to an emerging disease. A disturbing "geography of blame" was observed suggesting the metamorphosis of the folk-devil phenomenon to the Internet. We discovered a subterranean discourse about the putative origins and "objectives" of the H1N1 virus, which was absent from the discussions in mainstream television channels and large-circulation print media. These online rumours attributed hidden motives to governments, pharmaceutical companies, and figures of Otherness that were scapegoated in the social history of previous European epidemics, notably Freemasons and Jews

The importance of cholesterol medication adherence: the need for behavioral change intervention programs

Hayden B Bosworth,1–5 Barbara Ngouyombo,6 Jan Liska,7 Leah L Zullig,1,2 Caroline Atlani,8 Anne C Beal7 1Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA; 2Department of Population Health Sciences, Duke University, Durham, NC, USA; 3School of Nursing, Duke University, Durham, NC, USA; 4Department of Psychiatry, Duke University, Durham, NC, USA; 5Department of Behavioral Sciences, Duke University, Durham, NC, USA; 6Value & Access Team, Sanofi Pasteur, Lyon, France; 7Center of Excellence for Patient Centricity, Sanofi, Paris, France; 8Patient Strategy, Diabetes & Cardiovascular Unit, Sanofi, Paris, France Abstract: Lipid-lowering medications have been shown to be efficacious, but adherence is suboptimal. This is a narrative, perspective review of recently published literature in the field of medication adherence research for lipid-lowering medications. We provide an overview of the impact of suboptimal adherence and use a World Health Organization framework (patient, condition, therapy, socioeconomic, and health system-related systems) to discuss factors that influence hyperlipidemia treatment adherence. Further, the review involves an evaluation of intervention strategies to increase hyperlipidemia treatment adherence with a special focus on mHealth interventions, patient reminders on packaging labels, nurse- and pharmacist-led interventions, and health teams. It also highlights opportunities for pharmaceutical companies to support and scale such behavioral interventions. Medication adherence remains a challenge for the long-term management of chronic conditions, especially those involving asymptomatic disease such as hyperlipidemia. To engage patients and enhance motivation over time, hyperlipidemia interventions must be targeted to individual patients’ needs, with sequencing and frequency of contact tailored to the various stages of behavioral change. Keywords: cardiovascular disease, compliance, health psychology, behavioral medicine, lifestyl

Ebola and localized blame on social media : analysis of Twitter and Facebook conversations during the 2014&8211;2015 Ebola epidemic

This study aimed to analyze main groups accused on social media of causing or spreading the 2014 - 2016 Ebola epidemic in West Africa. In this analysis, blame is construed as a vehicle of meaning through which the lay public makes sense of an epidemic, and through which certain classes of people become "figures of blame". Data was collected from Twitter and Facebook using key word extraction, then categorized thematically. Our findings indicate an overall proximate blame tendency: blame was typically cast on "near-by" figures, namely national governments, and less so on "distant" figures, such as generalized figures of otherness ("Africans", global health authorities, global elites). Our results also suggest an evolution of online blame. In the early stage of the epidemic, blame directed at the affected populations was more prominent. However, during the peak of the outbreak, the increasingly perceived threat of inter-continental spread was accompanied by a progressively proximal blame tendency, directed at figures with whom the social media users had pre-existing biopolitical frustrations. Our study proposes that pro-active and on-going analysis of blame circulating in social media can usefully help to guide communications strategies, making them more responsive to public perceptions

Sexual transmission of Zika virus on Twitter : a depoliticised epidemic

During global health crises, different narratives regarding infectious disease epidemics circulate in traditional media (e.g. news agencies, television channels) and social media. Our study investigated the narratives related to sexual transmission of Zika virus that circulated on Twitter during a public health emergency and analyzed the relationship between information on Twitter and on traditional media. We examined 10,748 tweets posted during the peaks of Twitter activity between January and March 2016. Posts in English, Spanish, French, and Portuguese and websites linked to tweets were manually reviewed and analyzed thematically. During the study period, there were three peaks of Twitter activity related to the sexual transmission of Zika. Most tweets in the first peak (n = 412) had humorous/sarcastic content (55%). Most tweets in the second and third peaks (n = 5,154 and n = 5,182, respectively) disseminated information (>93%). Across languages, textual and visual content on the websites were predominantly placed online by traditional media and highlighted epidemiological narratives published by public health agencies, with little or no mention of the concerns or experiences of individuals most affected by Zika. Prioritising epidemiological/clinical aspects of epidemics may have a depoliticising effect and contribute to overlooking socio-economic determinants of the Zika epidemic and issues related to reproductive justice