Experiment Launched by X to Recognize Posts Liked by Those with Different Perspectives
X recently announced that it is embarking on an experiment to identify and highlight posts that are liked by individuals who typically hold opposing views. This innovative experiment will utilize the platform’s Community Notes feature, which is currently used to flag content that is deemed misleading or inaccurate.
Commencing on Thursday, a select group of Community Notes contributors will be prompted to evaluate and provide feedback on specific posts. These prompts will be triggered based on the initial Like activity that a post receives.
The objective behind this initiative, according to X, is to develop an open-source algorithm that can effectively pinpoint posts that resonate with individuals from diverse perspectives.
Participants in the experiment will be asked to provide feedback on what they appreciate and disagree with in the post. They will have the option to choose responses such as “I found this insightful” or “I do not agree with this.” This feedback will play a crucial role in shaping the algorithm’s ability to identify cross-perspective liked posts.
In a statement, X expressed, “People often perceive the world as deeply divided, but Community Notes has shown that individuals can find common ground even on contentious topics. This experimental feature aims to uncover viewpoints and opinions that bridge gaps in perspectives, shedding light on widely resonating ideas. By encouraging the sharing of such ideas, we hope to propel positive change that aligns with people’s aspirations.”
The inception of Community Notes dates back to 2022, following Elon Musk’s acquisition of the social media platform. It was introduced as a departure from conventional fact-checking methods and has since been integrated into Meta’s platforms including Facebook, Instagram, and Threads.
