"This Media Landscape Guide provides a snapshot of the media in Pakistan, including the audiences, the producers, the preferences of different groups in the community, the communications culture, and the languages associated with the media. It gives an insight into the role of media in development w
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ork, crisis preparedness, recent disasters, and the (at time of writing) ongoing COVID-19 response. The guide also gives an overview of each media sector including, digital and social media, radio, television, print and other traditional forms of mass communication. It should be noted that with the constantly changing nature of the media landscape, this is not a comprehensive overview of all media outlets and platforms but rather a snapshot summary of those most relevant at the time of writing." (Introduction)
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"This Media Landscape Guide provides a snapshot of the media in Morocco, including the audiences, the producers, the preferences of different groups in the community, the communications culture, and the languages associated with the media. It gives an insight into the role of media in development wo
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rk, crisis preparedness, recent disasters, and the (at time of writing) ongoing COVID-19 response. The guide also gives an overview of each media sector including, digital and social media, radio, television, print and other traditional forms of mass communication. It should be noted that with the constantly changing nature of the media landscape, this is not a comprehensive overview of all media outlets and platforms but rather a snapshot summary of those most relevant at the time of writing." (Introduction)
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"This Media Landscape Guide provides a snapshot of the media in Burkina Faso, including the audiences, the producers, the preferences of different groups in the community, the communications culture, and the languages associated with the media. It gives an insight into the role of media in developme
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nt work, crisis preparedness, recent disasters, and the (at time of writing) ongoing COVID-19 response. The guide also gives an overview of each media sector including, digital and social media, radio, television, print and other traditional forms of mass communication. It should be noted that with the constantly changing nature of the media landscape, this is not a comprehensive overview of all media outlets and platforms but rather a snapshot summary of those most relevant at the time of writing." (Introduction)
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"This Media Landscape Guide provides a snapshot of the media in Malawi, including the audiences, the producers, the preferences of different groups in the community, the communications culture, and the languages associated with the media. It gives an insight into the role of media in development wor
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k, crisis preparedness, recent disasters, and the (at time of writing) ongoing COVID-19 response. The guide also gives an overview of each media sector including, digital and social media, radio, television, print and other traditional forms of mass communication. It should be noted that with the constantly changing nature of the media landscape, this is not a comprehensive overview of all media outlets and platforms but rather a snapshot summary of those most relevant at the time of writing." (Introduction)
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"This report takes stock of the early behavioural sciences literature on COVID-19 misinformation. Specifically, it addresses the following three main questions: (1) Who was most likely to believe or share COVID-19 misinformation? (2) What were the consequences of being exposed to or believing COVID-
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19 misinformation? (3) Which behavioural policy interventions were effective in countering COVID-19 misinformation? In addition to addressing these core questions, the report also provides a snapshot of the narratives of COVID-19 misinformation and the prevalence and spread of this misinformation. The report provides insights into policies that can help foster societal resilience against misinformation beyond the specific case of COVID-19, thereby contributing to policy preparation for future crises." (Abstract, page 1)
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"This article examines how affective narratives of the COVID-19 pandemic on Chinese social media reinforce and challenge established scripts of national identity, political legitimacy, and international geopolitical imaginary. Taking theoretical insights from the scholarship on trauma, disaster nati
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onalism, and politics of emotions, I structure the analysis of social media posts from state media and private accounts around three emotional registers: grief as a crucial site of control and contestation during the initial stage of the outbreak; gandong (being moved in a positive way) associated with stories of heroic sacrifices, national unity, and mundane ‘heart-warming’ moments; and enmity in narratives of power struggles and ideological competition between China and ‘the West’, especially the United States. While state media has sought to transform the crisis into resources for strengthening national belonging and regime legitimacy through a digital reworking of the long-standing repertoire of disaster nationalism, alternative articulations of grief, rage, and vernacular memory that refuse to be incorporated into the ‘correct collective memory’ of a nationalised tragedy have persisted in digital space. Furthermore, the article explicates the ways in which popular narratives affectively reinscribe dominant ideas about the (inter)national community: such as the historical imagination of a continuous nationhood rising from disasters and humiliation, positive energy, and a dichotomous view of the international order characterised by Western hegemony and Chinese victimhood. The geopolitical narratives of the pandemic build on and exacerbate binary oppositions between China and ‘the West’ in the global imaginary, which are co-constructed through discursive practices on both sides in mutually reinforcing ways. The lens of emotion allows us to attend to the resonances and dissonances between official and popular narrativisations of the disaster without assuming a one-way determinate relationship between the two." (Abstract)
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"This paper examines China’s international communication strategy during the initial phase of the global COVID-19 pandemic. In the spring of 2020, Western governments and media began criticising the systematic lack of transparency and accountability in the Chinese political system in relation to t
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he failed containment of the Wuhan outbreak. Facing an unprecedented reputational crisis, the Chinese Communist Party (CCP) mobilised its foreign-language media in an attempt to influence the international discourse on COVID-19. Surveying the English and Chinese editions of the People’s Daily, this study identifies CCP discourses aimed at foreign audiences and traces their evolution during the early stages of the pandemic. Overall, the study provides a comprehensive map of Chinese narratives on COVID-19 and generates fresh insights into CCP crisis communication." (Abstract)
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"This study employed three machine learning algorithms, Naïve Bayes, SVM, and a Balanced Random Forest to build a sentiment model that can detect Muslim sentiment about Muslim clerics’ anti-misinformation campaign on YouTube. Overall, 9701 comments were collected. An LDA-based topic model was als
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o employed to understand the most expressed topics in the YouTube comments. Results: The confusion matrix and accuracy score assessment revealed that the balanced random forest-based model demonstrated the best performance. Overall, the sentiment analysis discovered that 74 percent of the comments were negative, and 26 percent were positive. An LDA-based topic model also revealed the eight most discussed topics associated with ten keywords in those YouTube comments. Practical implications: The sentiment and topic model from this study will particularly help public health professionals and researchers to better understand the nature of vaccine misinformation and hesitancy in the Muslim communities." (Abstract)
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"This article is aligned with the recommendations of the main international organizations that fight against disinformation and infodemic, providing a review work that can be useful for researchers, professionals and scholars of the subject. Review articles like this one also help to establish futur
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e interdisciplinary developments, as they put the status quo of the question on the table, from which interdisciplinary research teams have a common basis. It was found that in the period studied, the most productive authors at a quantitative level were Magallón-Rosa with 6 papers, Ufarte-Ruiz with 4 and García-M arín with 3 papers. Likewise, studies by Palau-Sampio (2018), Vizoso and Vázquez-Herrero (2019) and Rodríguez-Pérez (2020) are noteworthy for their analysis of disinformation in the Ibero-American area; the work of Salaverría et al. (2020) is fundamental for its analysis of the typologies of hoaxes; and the work of López-Borrull with collaborators is noteworthy for its proposals on curation." (Conclusion, page 662)
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"VillageReach has started to work with governments in Africa to improve access to primary health care, including immunization programs. One method is to systematically monitor and respond to vaccine questions and misinformation in public discourse through a process called social listening. The appro
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ach applies a framework proposed by Gavi, the Vaccine Alliance and partners. It identifies the critical barriers to vaccine demand, including access and availability. The social listening analysis helps health systems prioritize responses to address information needs, gaps and emerging misinformation and rumors." (Page 1)
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"This guidance is based on the latest evidence and practical experience with IM in the WHO European Region and is designed to provide stakeholders with operational support for IM preparedness, readiness and response in public health emergencies. The intended readership is mainly response authorities
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, stakeholders and partners in countries in the Region in both the coordination and operations, including in communities. It provides practical ways to guide IM and best practices in the technical area of RCCE. Rather than offering specific, one-size-fits-all recommendations, it offers options and approaches that may be applied in each context. The guidance applies primarily to the WHO European Region because of differences among the WHO regions in organizational, structural, cultural and other dimensions of implementation of RCCE and IM, although other regions, headquarters or other stakeholders may use, apply or adapt it." (Executive summary)
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"Publicadas en noviembre de 2020, las recomendaciones del Foro sobre transparencia de las plataformas digitales resultantes del informe “Cómo acabar con la infodemia” figuran en la agenda de la Conferencia Mundial sobre la Libertad de Prensa de la UNESCO que se celebra en Punta del Este (Urugua
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y). En esta ocasión, estas recomendaciones se han traducido al español con el apoyo de Observacom, miembro del Consejo de Administración del Foro. Estas recomendaciones son el resultado del grupo de trabajo sobre infodemia copresidido por Maria Ressa, Premio Nobel de la Paz 2021, y Marietje Schaake, actual Directora de Política Internacional del Centro de Ciberpolítica de la Universidad de Stanford. El informe del grupo se publicó en noviembre de 2020 y figuró en el orden del día de la primera Cumbre sobre Información y Democracia, celebrada al margen de la Asamblea General de la ONU en septiembre del 2021." (Publisher description)
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"Few studies have examined the relationships between the different aspects of vaccination communication and vaccine attitudes. We aimed to evaluate the influence of three unique messaging appeal framings of vaccination from two types of messengers on COVID-19 vaccine acceptance in India. We surveyed
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534 online participants in India using Amazon Mechanical Turk (MTurk) from December 2021 through January 2022. We assessed participants' perception of three messaging appeals of vaccination -COVID-19 disease health outcomes, social norms related to vaccination, and economic impact of COVID-19 - from two messengers, healthcare providers (HCP) and peers. Using a multivariable multinomial logistic regression, we examined participants' ad preference and vaccine hesitancy. Participants expressed a high level of approval for all of the ads, with >80% positive responses for all questions across ads. Overall ads delivered by health care workers were preferred by a majority of participants in our study (n = 381, 71.4%). Ad preference ranged from 3.6% (n=19) social norm/peer ad to 32.4% (n = 173) health outcome/ HCP ad and half of participants preferred the health outcome ad (n = 279, 52.3%). Additionally, vaccine hesitancy was not related to preference (p = .513): HCP vs. peer ads (p = .522); message type (p =.284). The results suggest that all three appeals tested were generally acceptable, as well as the two messenger types, although preference was for the health care provider messenger and health outcome appeal. Individuals are motivated and influenced by a multitude of factors, requiring vaccine messaging that is persuasive, salient, and induces contextually relevant action." (Abstract)
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"We aimed to synthesize the existing research on misinformation about COVID-19 vaccines spread on social media platforms and its effects. The secondary aim was to gain insight and gather knowledge about whether misinformation about autism and COVID-19 vaccines is being spread on social media platfor
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ms [...] The search yielded 757 records, with 45 articles selected for this review. We identified 3 main themes of misinformation: medical misinformation, vaccine development, and conspiracies. Twitter was the most studied social media platform, followed by Facebook, YouTube, and Instagram. A vast majority of studies were from industrialized Western countries. We identified 19 studies in which the effect of social media misinformation on vaccine hesitancy was measured or discussed. These studies implied that the misinformation spread on social media had a negative effect on vaccine hesitancy and uptake." (Abstract)
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"This study aims to explore the perspectives of policymakers involved in ongoing efforts to boost vaccine confidence in the Philippines following a 2017 Dengvaxia scare and the current COVID-19 pandemic. Between August and November 2020, we conducted 19 semi-structured narrative interviews with purp
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osively selected policymakers from governmental agencies and nongovernmental organizations in the Philippines. Interviews were conducted online, transcribed, and analyzed following the tenets of reflexive thematic analysis. We present results as an emerging model that draws on a chronology conveyed by policymakers in their own words. The Dengvaxia scare proved ‘a decisive wedge’ that splintered Filipino society and pitted governmental agencies against one another. The scare stoked distorted vaccination narratives, which were ‘accelerated rapidly’ via social media, and ignited feelings of uncertainty among policymakers of how to convey clear, accurate health messaging and how to prevent drops in care-seeking more broadly." (Abstract)
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"To manage the rapid rise of misleading information on the coronavirus disease (COVID-19) during the pandemic, the Breakthrough ACTION project developed a theory-based rumortracking system to inform Guyana’s COVID-19 communication campaign. The rumor-tracking project used the extended parallel pro
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cessing model (EPPM) to identify and categorize rumors reflecting perceived high versus low vulnerability to COVID-19 and high versus low efficacy of engaging in recommended COVID-19 prevention behaviors. The project designed contextually relevant social and behavior change messages, called “MythBusters,” responded to rumor categories with the following objectives: (1) high perceived vulnerability and high efficacy rumors included a call to action; high perceived vulnerability and low efficacy rumors educated about effective and achievable solutions; (3) low perceived vulnerability and high efficacy rumors educated about risk; and (4) low perceived vulnerability and low efficacy rumors educated about risk and effective and achievable solutions. Results: Most rumors emanated from regions 4 and 8 (29%). Over two-thirds of the rumors (71%) recurred. Rumors were typically related to COVID-19 treatment or prevention (40%) and transmission (35%). Most rumors (48%) reflected low perceived vulnerability and low efficacy, 29% reflected high perceived vulnerability and low efficacy, 13% reflected low perceived vulnerability and high efficacy, and 10% reflected high perceived vulnerability and high efficacy. The project rapidly developed 12 MythBusters from June through December 2020 and integrated them into the national COVID-19 communication campaign, disseminated via radio, television, and Facebook. Estimates indicate that they have reached most of the target Guyanese population." (Abstract)
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"Our search identified 31 systematic reviews, of which 17 were published. The proportion of health-related misinformation on social media ranged from 0.2% to 28.8%. Twitter, Facebook, YouTube and Instagram are critical in disseminating the rapid and far-reaching information. The most negative conseq
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uences of health misinformation are the increase of misleading or incorrect interpretations of available evidence, impact on mental health, misallocation of health resources and an increase in vaccination hesitancy. The increase of unreliable health information delays care provision and increases the occurrence of hateful and divisive rhetoric. Social media could also be a useful tool to combat misinformation during crises. Included reviews highlight the poor quality of published studies during health crises. Conclusion: Available evidence suggests that infodemics during health emergencies have an adverse effect on society. Multisectoral actions to counteract infodemics and health misinformation are needed, including developing legal policies, creating and promoting awareness campaigns, improving health-related content in mass media and increasing people’s digital and health literacy." (Abstract)
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"This paper describes an infodemic management system workflow based on digital data collection, qualitative methodology, and human-centered systems to support the COVID-19 vaccine rollout in Ghana with examples of system implementation. Methods: The infodemic management system was developed by the H
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ealth Promotion Division of the GHS and the UNICEF Country Office. It uses Talkwalker, a social listening software platform, to collect misinformation on the web. The methodology relies on qualitative data analysis and interpretation as well as knowledge cocreation to verify the findings. A multi-sectoral National Misinformation Task Force was established to implement and oversee the misinformation management system. Two members of the task force were responsible for carrying out the analysis. They used Talkwalker to find posts that include the keywords related to COVID-19 vaccine–related discussions. They then assessed the significance of the posts on the basis of the engagement rate and potential reach of the posts, negative sentiments, and contextual factors. The process continues by identifying misinformation within the posts, rating the risk of identified misinformation posts, and developing proposed responses to address them. The results of the analysis are shared weekly with the Misinformation Task Force for their review and verification to ensure that the risk assessment and responses are feasible, practical, and acceptable in the context of Ghana." (Abstract)
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"This report aims to introduce techniques and procedures of NLP (Natural Language Processing), the computational preparation and analysis of text data, to map the public voice and aid development. First, the report introduces essential concepts of communication and elaborates on the theoretical foun
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dations of natural language analyses. Second, the report reviews research on NLP of social media text data by showcasing studies that have applied the techniques to the Sustainable Development Goals. Third, the report reviews specific NLP techniques, including data preprocessing, and dicusses libraries and programming procedures. It also reviews concepts such as keyword extraction to identify relevant terms, topic modeling to detect common themes, and text classification to recognize language features. These NLP techniques are showcased in two case studies. The first shows how topic modeling can be applied to derive insights on the public debate over climate change in Australia. The second demonstrates how text classification can be leveraged to analyze public sentiment on COVID-19 in the Philippines. Finally, the report discusses the challenges and limitations, as well as the potentials, of NLP." (Foreword)
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