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We Don't Give a Second Thought Before Providing Our Information: Understanding Users' Perceptions of Information Collection by Apps in Urban Bangladesh 我们在提供信息之前不会三思:了解孟加拉国城市用户对应用程序信息收集的看法
M. N. Al-Ameen, Tanjina Tamanna, Swapnil Nandy, M. Ahsan, Priyank Chandra, Syed Ishtiaque Ahmed
With a rapid increase in the use of digital technologies, people in the Global South including Bangladesh are exposed to a wide-range of smartphone applications (termed as apps in this paper), which offer a variety of features and services. However, privacy leakage through apps has increasingly become a major concern in Bangladesh, where the app collecting users' sensitive information without their consent was reported in news media for privacy violation. Our study with 32 participants from varying age, literacy level, and profession in Dhaka, Bangladesh unveils the perceptions of people around data collection and sharing by the app reported in privacy leakage news. All of our participants were aware of information leakage through the app they use, where they possess varying perceptions around providing personal information, like a sense of benefit, necessity and contribution, indifference, fear, or (no) authority over data collection. Our analysis reveals the relation between users' privacy perceptions, local infrastructure, and social practices in Bangladesh, where we identify the situated challenges that interfere with people's understanding of privacy notice. Our results lead to a discussion on how people's privacy perceptions are influenced by rapid urbanization and the opportunities offered by digitization in Bangladesh. Based on our findings, we provide recommendations to develop situated and sustainable strategies to enhance privacy awareness and practices in the social setting of Bangladesh, and Global South.
随着数字技术使用的迅速增加,包括孟加拉国在内的全球南方国家的人们接触到各种智能手机应用程序(本文称为应用程序),这些应用程序提供各种功能和服务。然而,通过应用程序泄露隐私在孟加拉国日益成为一个主要问题,在孟加拉国,应用程序未经用户同意收集用户敏感信息被新闻媒体报道为侵犯隐私。我们在孟加拉国达卡对32名不同年龄、文化水平和职业的参与者进行了研究,揭示了人们对隐私泄露新闻中报道的应用程序收集和分享数据的看法。我们所有的参与者都通过他们使用的应用程序意识到信息泄露,他们对提供个人信息有不同的看法,比如利益感、必要性和贡献感、冷漠感、恐惧感,或者(没有)对数据收集的权力。我们的分析揭示了孟加拉国用户的隐私观念、当地基础设施和社会实践之间的关系,在那里我们确定了干扰人们理解隐私通知的情境挑战。我们的研究结果引发了关于孟加拉国快速城市化和数字化提供的机会如何影响人们的隐私观念的讨论。根据我们的研究结果,我们提出了建议,以制定合适的可持续战略,以提高孟加拉国和全球南方社会环境中的隐私意识和实践。
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引用次数: 30
Extracting Features from Online Forums to Meet Social Needs of Breast Cancer Patients 从在线论坛中提取特征以满足乳腺癌患者的社会需求
Maitreyi Mokashi, E. Zhang, Josette F. Jones, Sunandan Chakraborty
Breast cancer patients go through many ordeals when they undergo treatments. Many of these issues are personal, social, or professional. As many of them are not directly medical in nature, these issues are not discussed with their healthcare providers and hence, not included in their treatment plan. However, these issues are vital for the patients' complete recovery. We present a novel approach that acts as the first step in including such personal and social issues resulting from breast cancer treatment into a patient's treatment plan. There are numerous online forums where patients share their experiences and post questions about their treatments and subsequent side effects. We collected data from one such forum called "Online Breast Cancer Forum". On this forum, users (patients) have created threads across many related topics and shared their experiences and questions. We use these message threads to identify critical issues faced by the patient and how they are related to their treatment. We convert the forum data into a bipartite network and turn the network nodes into a high-dimensional feature space. In this feature space, we perform community detection to unearth latent connections between patients and topics. We claim that these latent connections, along with the known ones, will help to create a new knowledge base that will eventually help physicians to estimate non-medical issues for a prescribed treatment. This new knowledge will help the physicians plan a more adaptive and personalized treatment and be better prepared by anticipating potential problems beforehand. We evaluated our method on two baseline methods and show that our method outperforms the baseline methods by 25% on a manually labeled reference dataset.
乳腺癌患者在接受治疗时要经历许多磨难。其中许多问题是个人的、社会的或职业的。由于他们中的许多人在本质上不是直接的医疗问题,这些问题没有与他们的医疗保健提供者讨论,因此不包括在他们的治疗计划中。然而,这些问题对患者的完全康复至关重要。我们提出了一种新颖的方法,作为将乳腺癌治疗引起的个人和社会问题纳入患者治疗计划的第一步。有许多在线论坛,患者在那里分享他们的经历,并发布关于他们的治疗和随后的副作用的问题。我们从一个叫做“在线乳腺癌论坛”的论坛上收集数据。在这个论坛上,用户(患者)创建了许多相关主题的主题,并分享了他们的经验和问题。我们使用这些消息线程来识别患者面临的关键问题以及它们与治疗的关系。我们将论坛数据转化为二部网络,并将网络节点转化为高维特征空间。在这个特征空间中,我们执行社区检测来挖掘患者和主题之间的潜在联系。我们声称,这些潜在的联系,连同已知的联系,将有助于创建一个新的知识库,最终将帮助医生估计处方治疗的非医学问题。这一新知识将帮助医生制定更有适应性和个性化的治疗方案,并通过预先预测潜在的问题更好地做好准备。我们在两个基线方法上评估了我们的方法,并表明我们的方法在手动标记的参考数据集上优于基线方法25%。
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引用次数: 0
Digital Interventions to Improve Health and Nutrition Outcomes for Children from Low-Income Communities 改善低收入社区儿童健康和营养状况的数字干预措施
Aakash Ganju, Aditi Hazra-Ganju, Srini Satyan, S. Menezes
More people in India have access to smartphones and the mobile internet than ever before. This provides an opportunity to equip underserved communities with the knowledge and resources to drive preventative health through their smartphones. The user interface and experience of our digital learning platform for behavior change was designed to engage with the emerging internet user and drive consistent engagement. In the last year, we have reached over 100,000 downloads, with users that have consumed over 212 million seconds of health content. By adopting a data-driven approach to interface design, and through a contextualized understanding of the end-users, we have been successful in building a platform that incorporates the features that our users value. The ubiquity of data enabled phones and increasing use of artificial intelligence powered technologies unlock unprecedented opportunities to reach and serve the billions of new underserved consumers with transformative health, nutrition and early learning information.
在印度,拥有智能手机和移动互联网的人比以往任何时候都多。这提供了一个机会,使服务不足的社区能够通过智能手机获得知识和资源,从而推动预防性保健。我们的行为改变数字学习平台的用户界面和体验旨在吸引新兴互联网用户,并推动持续的参与。去年,我们的下载量超过10万次,用户消费了超过2.12亿秒的健康内容。通过采用数据驱动的方法进行界面设计,并通过对最终用户的情境化理解,我们已经成功地构建了一个包含用户所看重的功能的平台。无处不在的数据手机和越来越多地使用人工智能驱动的技术,为数十亿新的服务不足的消费者提供了前所未有的机会,并为他们提供了变革性的健康、营养和早期学习信息。
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引用次数: 0
The "opaque panopticon": Why publishing data online doesn't make the State transparent? The case of India's livelihood program “不透明的圆形监狱”:为什么在网上发布数据不能使国家透明?印度的民生计划
Rajesh Dinesh Hanbal
Making the State transparent to citizens has been recognized as a sine qua non for good governance since the last two centuries. The pervasive use of Information and Communication Technologies (ICTs) in recent decades, by the State as well as the citizens, has led to a new-found optimism in finally making governments transparent to citizens. Yet, such enthusiasm rarely leads to a sustainable impact on citizen-State relations. In this paper, we look at the artefacts, i.e. the websites, and apps and the interaction of citizens with these artefacts to understand the barriers to the transparency of the State. Based on a year-long ethnography of India's livelihood program, the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), we find that the web portals are not appreciative of citizen's context and needs. Specifically, we notice three veils of opacity - the formal-legible form of transparency, the inaccessibility of information due to design, and finally the content of the information which dissuades citizens from seeing the state functioning transparently. Rather than enabling the citizens to hold the State actors to account, the opacity of the intended panopticon leads to disempowering the citizens of their rights, ultimately having them exit the program rather than enhancing their voice. We conclude by arguing for the need to recentre discussions on e-transparency towards the citizens.
过去两个世纪以来,使国家对公民透明一直被认为是善政的必要条件。近几十年来,资讯与通讯科技(ict)在国家与民众间的广泛使用,让民众对政府透明化抱有新的乐观态度。然而,这种热情很少对公民与国家的关系产生可持续的影响。在本文中,我们着眼于人工制品,即网站和应用程序以及公民与这些人工制品的互动,以了解国家透明度的障碍。根据一项为期一年的印度民生计划“圣雄甘地全国农村就业保障法案”(MGNREGA)的民族志,我们发现门户网站并不了解公民的背景和需求。具体来说,我们注意到三个不透明的面纱——透明的形式难以辨认,由于设计导致的信息不可访问性,最后是阻止公民看到国家透明运作的信息内容。“圆形监狱”的不透明性不但不能使公民向国家行为者问责,反而会削弱公民的权利,最终使他们退出该项目,而不是增强他们的发言权。最后,我们认为有必要将电子透明度的讨论重新集中到公民身上。
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引用次数: 0
Magic Machines for Refugees 难民的神奇机器
Asam Almohamed, Jinglan Zhang, Dhaval Vyas
This paper presents findings from a set of 'magic machines' workshops with newly arrived Iraqi refugees in Australia. The aim was to allow a broad range of response in designing innovative and creative technologies that can help refugees deal with specific challenges. To bring the 'future' into the present and to understand their needs and experiences, we asked 12 participants to create low-fi objects from different materials and to enact them in different scenarios. The magic machines workshops helped access refugees' voices and provided future contexts for them to deal with their challenges. The data analysis of the two workshops revealed three broad themes: information provision barriers, security and ethical challenges, and mistrust and cultural aspects. Our findings show that adopting a speculative design approach has encouraged refugees to have a strong voice- creatively articulated in the form of a set of magic machines. The study offers insights into refugees' perceptions of the future and current technology. It also informs policymakers of the issues around current policy hurdles newcomer refugees face in their settlement in the host community.
本文介绍了在澳大利亚新抵达的伊拉克难民的一组“神奇机器”工作坊的发现。其目的是在设计能够帮助难民应对具体挑战的创新和创造性技术方面作出广泛的反应。为了将“未来”带入现在,了解他们的需求和体验,我们要求12名参与者用不同的材料制作低保真物体,并在不同的场景中表演它们。这些神奇的机器工作坊帮助难民听到他们的声音,并为他们提供未来应对挑战的环境。两次研讨会的数据分析揭示了三大主题:信息提供障碍、安全和道德挑战、不信任和文化方面。我们的研究结果表明,采用投机性设计方法可以鼓励难民发出强有力的声音——以一套神奇机器的形式创造性地表达出来。这项研究为了解难民对未来和当前技术的看法提供了见解。它还向政策制定者通报新难民在东道社区定居时面临的当前政策障碍问题。
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引用次数: 12
Satellite imagery analysis for Land Use, Land Use Change and Forestry: A pilot study in Kigali, Rwanda 土地利用、土地利用变化和林业卫星图像分析:卢旺达基加利试点研究
Bright Aboh, Alphonse Mutabazi
Estimating greenhouse gases from the Agriculture, Forestry and Other land Use (AFOLU) sector is very challenging partly due to the unavailability of data (particularly for land use and land use change sectors) and inadequate experts to analyze this data in case it is available. We used Collect Earth together with Machine Learning techniques to be able to predict and classify all the land use types based on some few points collected using Collect Earth. We investigated the adoption of this tool and technology in Rwanda to help its national and sub-national inventories. The use of Collect Earth and the Machine Learning (ML) implementation will help Rwanda monitor and predict its Land Use, Land Use Change and Forestry in a cost effective manner whiles enhancing the quality of reports submitted to national and international bodies whiles introducing a new approach. Among the classification algorithms we tested, we had an overall classification accuracy of 97% using the Classification and Regression Trees (CART) algorithm to predict the six land Use classes across the country.
估算农业、林业和其他土地利用(AFOLU)部门的温室气体非常具有挑战性,部分原因是无法获得数据(特别是土地利用和土地利用变化部门的数据),而且在有数据的情况下,没有足够的专家对这些数据进行分析。我们将Collect Earth与机器学习技术结合使用,能够基于Collect Earth收集到的一些点来预测和分类所有的土地使用类型。我们调查了该工具和技术在卢旺达的采用情况,以帮助编制国家和地方清单。Collect Earth的使用和机器学习(ML)的实施将帮助卢旺达以具有成本效益的方式监测和预测其土地利用、土地利用变化和林业,同时提高提交给国家和国际机构的报告的质量,同时引入一种新方法。在我们测试的分类算法中,我们使用分类和回归树(CART)算法预测全国六个土地利用类别的总体分类准确率为97%。
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引用次数: 1
iNethi Community Network: A first look at local and Internet traffic usage inthi社区网络:首先看看本地和互联网的流量使用情况
A. Phokeer, S. Hadzic, Eric Nitschke, A. Zyl, D. Johnson, Melissa Densmore, Josiah Chavula
This poster presents iNethi, a community wireless network deployed in a peri-urban township of Cape Town, South Africa. Initial usage clearly indicates a demand for Internet-based external services and, to a lesser extent, local services. We focus on the initial months of our deployment, and interaction with locally installed INethi services, as well as the impact of access to the Internet. We present data from our traffic logs, captured during a period of six months. We observed that a large proportion of data is being consumed by software or antivirus updates. The data collected and trends observed will allow iNethi operators to make necessary adjustment to the networks.
这张海报展示了iNethi,一个部署在南非开普敦近郊城镇的社区无线网络。最初的使用情况清楚地表明对基于internet的外部服务的需求,以及在较小程度上对本地服务的需求。我们的重点是部署的最初几个月,以及与本地安装的INethi服务的互动,以及接入互联网的影响。我们展示的数据来自我们的交通日志,在六个月的时间里被捕获。我们观察到,很大一部分数据正在被软件或防病毒更新所消耗。收集的数据和观察到的趋势将使iNethi运营商能够对网络进行必要的调整。
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引用次数: 2
ICTs as Enablers of Resilient Social Capital for Ethnic Peace 信息通信技术是促进民族和平的弹性社会资本的推动者
Festus Mukoya
Violent conflict affects the lives, livelihoods and health of almost 1.5 billion people in the world. Efforts of intervention in violent conflicts through liberal peacebuilding strategies have not yielded fruits. This has paved way for resilience to be the new risk management strategy par excellence in peacebuilding in the Global South. Despite this growing enthusiasm for the focus on resilience, there remain significant debates and gaps in understanding about what actually constitutes resilience in conflict settings and particularly resilient conditions necessary for sustaining processes of preventing violent conflicts. The understanding become even more blurred when seeking to introduce Information Communication Technologies (ICTs) as an enabler of resilience in violent conflict settings. This paper therefore, argues that resilience for peace need to be understood in the context of both horizontal (bridging) and vertical (linking) social relationships that are influenced by the mushrooming and ubiquitous Information Communication Technologies (ICTs). The study found that ICTs play an important role in building resilient bridging and linking social relationships that are part of the process of preventing violent conflicts. The paper makes significant contribution to the theory of resilience as applied in ICT4D.
暴力冲突影响到世界上近15亿人的生命、生计和健康。通过自由的建设和平战略干预暴力冲突的努力没有取得成果。这为复原力成为全球南方建设和平的卓越风险管理新战略铺平了道路。尽管人们越来越热衷于关注复原力,但对于冲突环境中复原力的实际构成,特别是维持预防暴力冲突进程所必需的复原力条件,在理解方面仍存在重大争论和差距。当试图引入信息通信技术(ict)作为暴力冲突环境中恢复力的推动者时,这种理解就变得更加模糊。因此,本文认为,需要在受如雨后春笋般涌现和无处不在的信息通信技术(ict)影响的横向(桥接)和纵向(连接)社会关系的背景下理解和平复原力。研究发现,信息通信技术在建立具有复原力的桥梁和联系社会关系方面发挥着重要作用,这是防止暴力冲突进程的一部分。本文对弹性理论在ICT4D中的应用做出了重要贡献。
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引用次数: 1
Exploring Automated Q&A Support System for Maternal and Child Health in Rural India 探索印度农村妇幼健康自动化问答支持系统
Ankur Pandey, Inshita Mutreja, Saru Brar, Pushpendra Singh
Providing effective and efficient maternal and child healthcare is a challenge across the world. The challenge is even higher in developing countries, like India, where the doctor-to-patient ratio does not meet WHO prescribed numbers. Inadequate access to medical experts means that even simple queries about healthcare are not answered. In this work, we present our initial findings of using state-of-the-art Q&A systems, like IBM Watson, Rasa, and custom retrieval-based model, for answering simple queries related to maternal and child health. The query database, formed of short questions, is obtained from a real-world experiment where a medical expert answered the questions. The initial results are encouraging and indicate that further research in this area can help to answer a large number of queries thus reducing the work-load on a human medical expert.
提供有效和高效的妇幼保健是全世界面临的一项挑战。在印度等发展中国家,这一挑战甚至更大,在这些国家,医生与患者的比例没有达到世卫组织规定的数字。无法接触到医学专家意味着,即使是关于医疗保健的简单询问也得不到回答。在这项工作中,我们介绍了使用最先进的问答系统(如IBM Watson、Rasa和基于自定义检索的模型)来回答与孕产妇和儿童健康相关的简单问题的初步发现。查询数据库由简短的问题组成,从真实世界的实验中获得,其中医学专家回答了这些问题。初步结果令人鼓舞,并表明该领域的进一步研究可以帮助回答大量问题,从而减少人类医学专家的工作量。
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引用次数: 5
Good Digital Identity: The Case of Aadhaar in India 良好的数字身份:印度Aadhaar的案例
Siddharth Jain, N. Rangaswamy
The attempt to enroll citizens under the umbrella of effective governance is being accomplished by bringing digitization to the pedestal of identity. The paper unfolds the story of India's biometric based digital identity programme, Aadhaar, in fulfilling its goals of facilitating national security, financial inclusion and entitlement delivery. Using the socio-technical framework of '[Good ID', a user-centric approach to digital identity, we critique the intricacies of the design of Aadhaar as a bridge between citizen beneficiaries and the government and propose suggestions to forward the case of Aadhaar as '[good' digital ID.
将公民纳入有效治理保护伞下的尝试正在通过将数字化置于身份的基础上来实现。这篇论文揭示了印度基于生物识别技术的数字身份计划Aadhaar在实现其促进国家安全、金融包容性和权利交付目标方面的故事。利用“好身份”的社会技术框架,一种以用户为中心的数字身份方法,我们批评了Aadhaar作为公民受益人和政府之间桥梁的设计的复杂性,并提出了将Aadhaar作为“好”数字身份的建议。
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引用次数: 3
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Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies
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