通过分析爆料博客与官方新闻稿，评估其可信度。
Towards identifying Source credibility on Information Leakage in Digital Gadget Market
- 对比爆料博客与官方新闻稿标题，识别可信信息源。
- 构建基于真假爆料数量的博客可信度评分模型。
- 适用于追踪手机市场信息泄露的从业者与研究者。
社交媒体内容分享持续增长，敏感信息外泄问题日益严重。随着数字设备市场竞争加剧，越来越多关于新设备的敏感信息在社交平台泄露。近期大量数码资讯博客涌现，使信息泄露现象愈发普遍。可信爆料可能对相关企业造成重大财务损失。因此，评估持续发布手机或数码产品爆料的平台可信度至关重要。本文分析了54,495条不同智能手机的爆料博客标题及其对应的官方新闻稿标题。首先，训练自定义命名实体识别（NER）模型以捕捉不断演变的智能手机名称，在人工标注数据上达到82.14%的准确率。进一步提出一种基于虚假与真实爆料数量的博客可信度评分指标。
原文摘要 · Abstract (English)
The use of Social media to share content is on a constant rise. One of the capsize effect of information sharing on Social media includes the spread of sensitive information on the public domain. With the digital gadget market becoming highly competitive and ever-evolving, the trend of an increasing number of sensitive posts leaking information on devices in social media is observed. Many web-blogs on digital gadget market have mushroomed recently, making the problem of information leak all pervasive. Credible leaks on specifics of an upcoming device can cause a lot of financial damage to the respective organization. Hence, it is crucial to assess the credibility of the platforms that continuously post about a smartphone or digital gadget leaks. In this work, we analyze the headlines of leak web-blog posts and their corresponding official press-release. We first collect 54, 495 leak and press-release headlines for different smartphones. We train our custom NER model to capture the evolving smartphone names with an accuracy of 82.14% on manually annotated results. We further propose a credibility score metric for the web-blog, based on the number of falsified and authentic smartphone leak posts.
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