SNSaPP - Unbiased Social Media Analysis Against Paid Posters.
ICDM Workshops(2019)
摘要
Social media platforms have become a dominating role in our daily life, and it can also be a powerful tool for spreading information. The paid poster, for example, is a emerging job type, which aims to influence peopleu0027s opinions on certain events or market trends. Impact of paid posters has recently attracted attention from both industry and academia: they are hired to campaign event and shape publicu0027s opinions, which may result in negative social impact. In this demo, we focus on one of the major sources of bias - paid posters, trying to provide a system that gives transparent and unbiased information to users. In this demo, we present our system SNSAPP, which consists of four core components: (1) crawler, which gathers information of potential paid posters from various social platforms; (2) paid posters management module that extracts the accurate paid poster information, including account ids, their post contents and their social media relationships; (3) event influence estimation module, which is to calculate the impact score of a particular social event; and (4) events ranking module, which provides an unbiased ranked list of social network celebrities after potential impact from paid posters. SNSAPP aims to provide an unbiased ranking and data analysis, when a burst event happens and there are lots of paid posters involved in. The system provides the functionality for users to monitoring true rankings and the evolving process of events, which helps people to make the right decisions.
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关键词
Paid posters,Social media
AI 理解论文
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