“技术家长式主义”:国内数据新闻的当前趋势

Wasil Poljuga
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引用次数: 0

摘要

文章考虑了大数据在社会中的作用的进一步增长,获取信息的新实践和方法的广泛使用,例如分析消费者信息,生物特征数据,自动化,新闻报道的新机会。讨论了新闻信息呈现新闻的现代新闻实践。因为基于大数据的算法,最近被广泛应用于“优化社交网络和搜索引擎的性能”,经常决定哪些信息将被显示,哪些网站对搜索查询做出回应。通过创建和训练神经网络,我们的偏好被分析——喜欢、转发、评论——并在此基础上,为每个账户形成一个单独的新闻源。因此,用户不分享的观点逐渐从信息流中消失,而他们喜欢的观点正在出现。新闻世界正变得舒适和可理解。通过数据新闻的棱镜,机器和新闻选择结果的结合特别有趣,因为这种类型的新闻活动可以被视为新闻和技术实践的结果。基于对新闻网站的定性统计分析,本研究考察了数据新闻如何在专业新闻编辑室的新闻周期中发挥作用。此外,该出版物还探讨了数据新闻为讲故事、新闻采集和传播带来的创新。通过对这些互联网资源的内容进行统计分析,明确了媒体公司在信息政策上的方向,即优先选择线性格式的信息消息。与真正的互动和不那么家长式的数据新闻项目相比,消费者信息的这种方向更有效。因此,从商业角度来看,家长作风可能是最好的。专业的家长式作风是维持新闻自主的重要来源,而在公共辩论和技术平台上,“泡沫过滤器”和将决策委托给机器被认为是消极的家长式作风。在一个新闻与人工智能融合的时代,记者和工程师共同创造算法以保护自己的豁免权,记者需要确保观众了解方法,了解互动节目中设计选择的有效性,明确动机。在我们看来,只有当审核员(记者或程序/开发人员)不注意不同数字文本中过滤和选择的区别时,问题才会出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
«Technological paternalism»: current trends in domestic data journalism
The article considers the further growth of the role of big data in society, the widespread use of new practices and methods of obtaining information, such as profiling consumer information, biometric data, automation, new opportunities for news reporting. Modern journalistic practices of news information presentation journalism are discussed. Because big data-based algorithms, which have recently been widely implemented to «optimize the performance» of social networks and search engines, often determine what information will be displayed and which sites respond to search queries. By creating and training neural networks, our preferences are analyzed — likes, reposts, comments — and on this basis, an individual news feed is formed for each account. As a result, the views that users do not share are gradually disappearing from the feed, and those that they like are emerging. The news world is becoming comfortable and understandable. The combination of machine and journalistic selection results is particularly interesting through the prism of data journalism, as this type of journalistic activity can be seen as the result of journalistic and technological practices. Based on a qualitative statistical analysis of news sites, the study examines how data journalism works in the news cycle of professional newsrooms. In addition, the publication explores the innovations that data journalism brings to storytelling, news gathering, and dissemination. Through statistical analysis of the content of these Internet resources, a clear direction in the information policy of media companies to give preference to linear formats of information messages. This direction of consumer information is more effective compared to truly interactive and less paternalistic data journalism projects. Thus, paternalism is probably the best from a commercial point of view. Professional paternalism is an important source for maintaining journalistic autonomy, while in public debates and on technology platforms «bubble filters» and delegating decision-making to machines are considered negative paternalism. In an age when journalism merges with artificial intelligence and journalists and engineers create algorithms side by side to protect their immunity, journalists need to make sure that the audience is informed about the methodology, the validity of the choice of design in interactive programs, clearly motivated. In our opinion, problems arise only if the auditor (journalist or program / developer) does not pay attention to the difference between filtering and selection in different digital texts.
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