In this era of digitisation, news reader tend to read news online. This is because, online media instantly provides access to a wide variety of content. Thus, people don't have to wait for tomorrow's newspaper to know what's happening today. Along with these virtues, online news have some vices as well. One such vice is presence of social media posts (tweets) relating to news articles whose sole purpose is to draw attention of the users rather than directing them to read the actual content. Such posts are referred to as clickbaits. The objective of this project is to develop a system which would be capable of predicting how likely are the social media posts (tweets) relating to new articles tend to be clickbait.
翻译:在数字化时代,新闻读者倾向于在网上阅读新闻。 这是因为, 在线媒体即刻提供各种内容。 因此, 人们不必等到明天的报纸才知道今天发生了什么。 除了这些美德之外, 网上新闻也有一些恶习。 其中一个恶习就是社会媒体文章(tweets)的出现, 这些文章的唯一目的是吸引用户的注意, 而不是引导他们阅读实际内容。 这些文章被称为点击。 这个项目的目的是开发一个系统, 能够预测与新文章有关的社交媒体文章(tweets)的可能性。