AI Application Gives Users Real-Time Feedback on the Level of Peace in the Social Media Videos They Watch
arXiv:2601.05232v3 Announce Type: replace Abstract: Most people now get their news from videos on social media, such as YouTube and Facebook, rather than through curated journalism. "We become what we behold." The content and tone of language plays an essential role in starting or ending conflicts. "Hate Speech" can enhance conflict, "Peace Speech" can enhance peace. We developed an application that measures, in real time, these aspects of speech from YouTube videos, which can give users helpful feedback on their own media diet. We used two approaches: 1) supervised machine learning. Language
The proliferation of social media as a primary news source and the increasing sophistication of AI for language analysis make this application timely.
This development represents initial steps toward AI-driven media literacy tools that could influence public discourse and individual perception of online content.
Users could gain automated, real-time insights into the emotional and conflict-oriented tone of social media videos, potentially altering their content consumption habits.
- · AI ethicists
- · Peacekeeping organizations
- · Developers of AI-driven content moderation tools
- · Platforms promoting divisive content
- · Actors who benefit from online conflict
Individuals receive real-time feedback on the 'peace level' of social media videos they consume.
Increased user awareness could shift demand towards more constructive or less inflammatory online content.
Social media platforms might face pressure to integrate similar AI tools or penalize content identified as 'conflict-enhancing'.
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Read at arXiv cs.CL