360{\deg} Stance Detection
Sebastian Ruder, John Glover, Afshin Mehrabani, Parsa Ghaffari
TL;DR
The paper introduces 360° Stance Detection, a tool that aggregates diverse news perspectives on a topic, helping users form balanced opinions amidst fake news and filter bubbles.
Contribution
It presents a novel approach to aggregate and visualize multiple perspectives on a topic, aiding unbiased opinion formation.
Findings
Provides a spectrum of support to opposition for news topics
Enhances user awareness of diverse perspectives
Facilitates balanced decision-making
Abstract
The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360{\deg} Stance Detection, a tool that aggregates news with multiple perspectives on a topic. It presents them on a spectrum ranging from support to opposition, enabling the user to base their opinion on multiple pieces of diverse evidence.
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Taxonomy
TopicsMisinformation and Its Impacts · Spam and Phishing Detection · Digital Games and Media