Abstract
In the digital age, where echo chambers on social media and news platforms increasingly shape public opinion, there is a growing need for tools that present news consumers with a broad spectrum of perspectives. To this end, we introduce DiversiNews, a novel system designed to diversify news consumption by providing readers with articles that are not only relevant to their interests but also offer a variety of viewpoints. DiversiNews leverages state-of-the-art semantic text encoding techniques and implements advanced Diversity-aware k -Maximum Inner Product Search (D k MIPS) algorithms. Our demonstration highlights the potential of DiversiNews to broaden users' exposure to different viewpoints, thereby countering the polarizing effect of digital echo chambers. We showcase how DiversiNews can enrich the news reading experience, supporting the development of a more informed and balanced public discourse in digital news consumption applications.
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