ABSTRACT

The rapid spread of misinformation online has been deemed as a growing problem in the current digital media environment with significant impact both on journalism and on society at large. As news practitioners are increasingly challenged by information overload and the need to process huge volumes of unstructured and unfiltered data within a very short time span, the veracity of online and User-Generated Content (UGC) and its spread through social media and video platforms has been identified as a key concern. This study aims to extend the body of knowledge on the verification of news video content, derived from social media platforms. Using a web-based tool that analyses the online context around a video post and presents a number of verification signals, a set of fake and real news videos coming from YouTube and Facebook were examined by a sample of journalism students (N = 90) regarding their veracity. A sample of professional journalists (N = 17) was also used for qualitative comparison purposes and additional results. The results of the study highlight the significance of online context as well as the efficacy of a semi-automated process in the verification of video content and journalism practice, in conjunction with useful verification features and practices.

摘要

在当前的数字媒体环境中，在线错误信息的迅速传播被认为是一个日益严重的问题，对新闻业和整个社会都产生了重大影响。随着新闻从业者越来越多地受到信息过载的挑战，并且需要在很短的时间内处理大量非结构化和未经过滤的数据，在线和用户生成内容 (UGC) 的真实性及其通过社交媒体和视频平台的传播已经被确定为一个关键问题。本研究旨在扩展源自社交媒体平台的新闻视频内容验证知识体系。使用基于网络的工具分析视频帖子的在线上下文并提供许多验证信号，N  = 90) 关于他们的真实性。专业记者样本（N  = 17）也用于定性比较目的和其他结果。该研究的结果突出了在线上下文的重要性以及半自动化过程在视频内容和新闻实践验证中的功效，以及有用的验证功能和实践。