Factors and models contributing to the optimization of search engine results credibility and application on news content: the cross-credibility engine optimization (CCEO) model

Charalampos A. Dimoulas, A. Veglis
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引用次数: 0

Abstract

The current work introduces a new model for optimizing Search Engines (SE), taking into consideration credibility issues, which are thought as equal or even more important than popularity. While news organizations rely on marketing and exposure metrics to program their cross-media presence, at the same time an urgent need for credible and quality journalistic services constantly rises. A promising solution, proposed in this paper, would be to reshape Search Engine Optimization (SEO) practices and measures, aiming at expediting self-verification and authentication processes. Hence, informing sources would have the option to voluntary ingest credibility metadata of their content and stories, allowing end-users to easily fact-check the delivered messages.
影响搜索引擎结果可信度优化的因素和模型及其在新闻内容上的应用:交叉可信度引擎优化(CCEO)模型
目前的工作引入了一个优化搜索引擎(SE)的新模型,考虑到可信度问题,这被认为是与受欢迎程度相等甚至更重要的。虽然新闻机构依靠营销和曝光指标来规划他们的跨媒体存在,但与此同时,对可信和高质量新闻服务的迫切需求也在不断上升。本文提出的一个有希望的解决方案是重塑搜索引擎优化(SEO)的实践和措施,旨在加快自我验证和身份验证过程。因此,消息来源可以选择自愿摄取其内容和故事的可信度元数据,从而允许最终用户轻松地对所传递的消息进行事实核查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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