Towards identifying Source credibility on Information Leakage in Digital Gadget Market

TL;DR

This paper proposes a method to assess the credibility of social media sources leaking information about digital gadgets by analyzing headlines and developing a credibility scoring metric.

Contribution

It introduces a custom NER model for smartphone name recognition and a credibility score metric based on leak authenticity analysis.

Findings

Achieved 82.14% accuracy in smartphone name recognition.

Developed a credibility scoring metric for leak sources.

Analyzed 54,495 headlines for leak and press-release comparison.

Abstract

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.