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[https://rightquestion.org/what-is-the-qft/] - - public:weinreich
how_to, research, strategy - 3 | id:788307 -

Developed by the Right Question Institute, the Question Formulation Technique, or QFT, is a structured method for generating and improving questions. It distills sophisticated forms of divergent, convergent, and metacognitive thinking into a deceptively simple, accessible, and reproducible technique. The QFT builds the skill of asking questions, an essential — yet often overlooked — lifelong learning skill that allows people to think critically, feel greater power and self-efficacy, and become more confident and ready to participate in civic life.

[https://infodemiology.jmir.org/2021/1/e30971] - - public:weinreich
health_communication, qualitative, research, social_media - 4 | id:744667 -

Objective: In this work, we aimed to develop a practical, structured approach to identify narratives in public online conversations on social media platforms where concerns or confusion exist or where narratives are gaining traction, thus providing actionable data to help the WHO prioritize its response efforts to address the COVID-19 infodemic. Methods: We developed a taxonomy to filter global public conversations in English and French related to COVID-19 on social media into 5 categories with 35 subcategories. The taxonomy and its implementation were validated for retrieval precision and recall, and they were reviewed and adapted as language about the pandemic in online conversations changed over time. The aggregated data for each subcategory were analyzed on a weekly basis by volume, velocity, and presence of questions to detect signals of information voids with potential for confusion or where mis- or disinformation may thrive. A human analyst reviewed and identified potential information voids and sources of confusion, and quantitative data were used to provide insights on emerging narratives, influencers, and public reactions to COVID-19–related topics. Results: A COVID-19 public health social listening taxonomy was developed, validated, and applied to filter relevant content for more focused analysis. A weekly analysis of public online conversations since March 23, 2020, enabled quantification of shifting interests in public health–related topics concerning the pandemic, and the analysis demonstrated recurring voids of verified health information. This approach therefore focuses on the detection of infodemic signals to generate actionable insights to rapidly inform decision-making for a more targeted and adaptive response, including risk communication.

[https://www.nngroup.com/articles/summary-quant-sample-sizes/?utm_source=Alertbox&utm_campaign=6b433997b0-EMAIL_CAMPAIGN_2020_11_12_08_52_COPY_01&utm_medium=email&utm_term=0_7f29a2b335-6b433997b0-24361717] - - public:weinreich
design, quantitative, research - 3 | id:744486 -

40 participants is an appropriate number for most quantitative studies, but there are cases where you can recruit fewer users.

[https://translatorswithoutborders.org/language-data/] - - public:weinreich
health_communication, international, research - 3 | id:363133 -

Language data There is little information available on the languages crisis-affected people speak and understand. Humanitarians often develop communication strategies without reliable data on literacy, languages spoken, or preferred means of communication. The result too often is that crisis-affected people struggle to communicate with humanitarian organizations in a language they understand. Women, children, older people, and people with disabilities are often at the greatest disadvantage because they are less likely to understand international languages and lingua francas. TWB’s Language Data Initiative addresses those issues and provides important resources for humanitarians. It supports humanitarian organizations to develop language-informed programs and communication strategies. Click on a country on the map below to see language data, resources, and maps that we have available for that country. This map will update as new data is published in the future.

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