Radio and Women's Empowerment in the Sahel

该项目以利用非政府组织拥有的数据资源的现有研究为基础，对马里、尼日尔和布基纳法索的性别平等问题进行高质量、有影响力的研究。其目的是通过开发一种创新的二手数据研究方法，并通过将传统媒体（广播）和社交媒体平台结合起来，进一步促进改善对萨赫勒地区这三个dac列出的国家妇女权利和赋权的看法和表现。该项目利用自然语言处理（NLP）——人工智能的一种形式——对数据进行大规模定性和定量分析，并利用WhatsApp调查获取听众反馈，研究了来自这三个国家广播电台的非政府组织二手数据（广播输出、概念笔记、相关文件、统计数据、变革理论和法律文本）。它调查和比较了对妇女权利和赋权的看法，如何通过广播塑造和描绘这些看法，以及它们如何影响各国对妇女和性别平等的理解和态度，以便提出建议，影响政策和做法，从而促进性别平等并使妇女在社会中获得更大的发言权。性别不平等在这三个国家普遍存在，妇女一直是欠发达的首要受害者。童婚率高，识字率低，特别是在女孩中，一夫多妻制很常见，对妇女的暴力行为很普遍，特别是在受冲突影响的地区。广播是信息的主要来源。为了提高实效，减少妇女声音被考虑的障碍，并确保与性别有关的问题得到解决，无线电广播需要以无障碍的方式播放相关主题，不仅要针对女性听众，而且要针对全体人口。节目的设计必须有听众和专家的参与。该项目使用自然语言处理（NLP）对二级数据进行转录和初始编码，允许对大量信息进行分析。在整个项目中，通过WhatsApp的调查，听众们会被互动地询问节目内容，以及他们对女性权利和赋权的看法。这使得在大范围内咨询大量的个人，其中一些受冲突影响，研究人员无法接触到，并且成本低，无法通过个人或小组访谈实现。此类调查还允许以语音信息的形式提问和回答，以促进低识字率人口之间的更大包容性。在项目期间的知识交流研讨会上，民间社会组织、媒体专家和记者被征求意见并参与其中。有两轮自动辅助数据收集和分析（第3-7周和第11-15周）。每一个都与WhatsApp的听众调查相关联。知识交流讲习班在两轮二手数据收集和分析之前、中间和之后举行。在这两轮之间和之后，将向记者提供关于改进广播和转让最佳做法的培训。该项目使三国的妇女和青年受益；广播电台;捐助者和其他非政府组织和媒体发展组织；各国妇女民间社会组织；记者;以及学术研究者和实践者。该项目产生了两个数据集，这两个数据集是基于非政府组织的二手数据，以及从WhatsApp听众调查中产生的额外数据。它还希望提供至少3篇学术论文、2份工作文件、小册子和海报，为传播活动提供信息；至少参加3次会议；举办至少3个传播工作坊；并负责项目网站等媒体平台的开发和维护。

Summary The project builds on existing research using data resources held by NGOs to produce high-quality, impactful research into gender equality in Mali, Niger and Burkina Faso. Its aim is to further contribute to improvements in perceptions and representations of women's rights and empowerment in these three DAC-listed countries in the Sahel by developing an innovative methodological approach to secondary data research and by bringing together traditional media (radio) and social media platforms. Using natural language processing (NLP) - a form of artificial intelligence - for the large-scale qualitative and quantitative analysis of the data, and WhatsApp surveys for listener feedback, the project examines NGO secondary data (radio output; concept notes; related documents; statistics; theories of change, and legal texts) from radio stations in the three countries. It investigates and compares perceptions of women's rights and empowerment, how they are shaped and portrayed by radio, and how they impact understandings of, and attitudes towards women and gender equality in the countries in order to give recommendations, impacting on policy and practices, which will promote gender equality and give women a greater voice in society. Gender inequality is extensive in the three countries and women have always been the first victims of under-development. There are high child marriage rates, low literacy rates, especially amongst girls, polygamy is common and violence against women is rife, particularly in conflict-affected zones. Radio is the main source of information. To be effective and to reduce obstacles to women's voices being taken into account and ensure the evolution of gender-related problems, radio needs to broadcast relevant subjects in an accessible manner, and must target not only a female audience, but the whole population. Programming must be designed with the participation of listeners and experts. The project uses NLP to transcribe and initially code the secondary data, allowing large quantities of information to be analysed. Listeners are questioned interactively on the programme content and their perceptions of women's rights and empowerment throughout the project using WhatsApp surveys. These enable significant numbers of individuals to be consulted over large areas, some being conflict-affected and not reachable by researchers, and at low cost, not achievable through individual or group interviews. Such surveys also allow for questions and responses as voice messages promoting greater inclusivity amongst populations with low literacy rates. Civil society organisations (CSOs), media experts and journalists are consulted and involved in the process at knowledge exchange workshops during the project. There are two rounds of automated secondary data collection and analysis (weeks 3-7 and 11-15). Each is linked to WhatsApp listener surveys. Knowledge exchange workshops are held before, in between, and after the two rounds of secondary data collection and analysis. Training will be given to journalists in between and after these two rounds regarding improvements to broadcasts and the transfer of best practice. The project benefits women and youth in the three countries; radio stations; donors and other NGO and media development organisations; women's CSOs in the countries; journalists; and academic researchers and practitioners. The project generates two data sets which are based on the NGO secondary data, and additionally generated data from WhatsApp listener surveys. It also expects to deliver at least 3 academic papers, 2 working papers, pamphlets and posters to inform dissemination events; present at a minimum of 3 conferences; hold at least 3 dissemination workshops; and develop and sustain the project website and other media platforms.