谁来帮忙?检测社交媒体上传播失踪人员信息的影响者

Victor Stroele;Lorenza Leão Oliveira Moreno;Jorão Gomes;Thalita Thamires de Oliveira Silva;Enayat Rajabi;Jairo Francisco de Souza
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引用次数: 0

摘要

虽然个人失踪并不是最近才出现的现象,但它仍然是一个普遍存在的问题,给失踪者家属造成了巨大的精神痛苦。遗憾的是,一些国家对这一问题缺乏国家行动。解决这一问题的一个有希望的方法是呼吁人们提供信息,并与可能有能力协助寻找失踪人员的更广泛的个人网络取得联系。事实证明,推特等社交媒体平台在传播信息方面尤为有效。然而,信息传播的有效性对于提高整个社区的意识至关重要。本文介绍了一种识别 Twitter 上有影响力的个人的方法,重点关注他们的地理位置,以最大限度地传播有关失踪人员的信息。鉴于与失踪人员相关的社交圈和社区的重要性,纳入位置数据成为失踪人员领域的一个基本特征。本文有三方面的贡献:(1)基于运筹学模型的一种新方法,用于识别 Twitter 上具有位置意识的影响者;(2)利用从巴西非政府组织和各州网站收集到的公开失踪人员数据,对信息传播进行分析;(3)建立一个新的失踪人员数据集,作为进一步研究的宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who is Going to Help? Detecting Social Media Influencers to Spread Information About Missing Persons
Although the disappearance of individuals is not a recent phenomenon, it remains a prevalent issue that inflicts significant emotional distress upon the families of the missing. Unfortunately, state action about this matter is lacking in several countries. One promising approach to address this problem involves appealing for information and reaching out to a wider network of individuals who may possess the ability to assist in locating the missing person. Social media platforms, such as Twitter, have proven to be particularly effective in disseminating information. However, the effectiveness of information dissemination is crucial to raise awareness within the community as a whole. This paper presents a method for identifying influential individuals on Twitter, with a focus on their geographic location, to maximize the diffusion of information about missing persons. Given the significance of the social circles and communities associated with the disappeared individuals, incorporating location data becomes an essential feature in the missing person domain. The contribution of this paper is threefold: (i) a novel method to identify location-aware influencers on Twitter based on an operational research model, (ii) an analysis of the information dissemination using publicly available missing person data collected from Brazilian non-governmental organizations and state websites, and (iii) a new missing person dataset that can serve as a valuable resource for further research.
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