Embedding-Ranked Story Paths for Gradual Viewpoint Shifts
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Solution Overview
Problem
Recommender systems fail to incrementally influence a user's emotions and thoughts, often leading to exposure to extreme content based on initial viewing habits, lacking a goal to promote empathy or alternative viewpoints.
Innovation Solution
A story module generates a sequence of stories, starting from a source user's viewpoint to increasingly dissimilar viewpoints, using neural networks to identify patterns and present stories that encourage empathy or shift perspectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If recommender systems present content based on initial viewing habits, then user engagement is maintained, but exposure to extreme content increases and empathy promotion fails
Solution Approach 1:
The system pre-generates multiple story paths with varying degrees of viewpoint dissimilarity before user interaction. These paths are prepared in advance based on the source story and target story, allowing the system to incrementally guide users through intermediate viewpoints rather than directly exposing them to extreme content
Solution Approach 2:
The system introduces intermediate stories as mediators between the source user's viewpoint and the target opposing viewpoint. These intermediate stories serve as stepping stones that gradually acclimate users to contrasting perspectives, reducing the shock of extreme content while maintaining engagement
2Ease of operation
If recommender systems stick to similar content based on user preferences, then user satisfaction is maintained, but exposure to alternative viewpoints is limited
Solution Approach 1:
The system dynamically adjusts the story path based on user feedback and engagement metrics. It starts with stories similar to user preferences and gradually introduces more dissimilar viewpoints, adapting the pace and direction of perspective shifts based on user receptiveness rather than following a fixed pattern
Solution Approach 2:
The system changes the parameter of viewpoint similarity incrementally along the story path. Rather than maintaining a static similarity level, the system varies the degree of viewpoint dissimilarity across different stories in the sequence, allowing users to progressively adapt to alternative perspectives while maintaining satisfaction
Data Source
AI summary
A method for generating a story path includes receiving, from a source user, a source story. The method additionally includes matching the source story to a topic in a set of topics. The method also includes identifying a set of stories associated with the topic, each story of the set of stories being provided by one or more other users. The method further includes presenting, to the source user based on identifying the set of stories, a subset of stories of the set of stories in a sequence from most similar, in an embedding space, to the source story to least similar, in the embedding space, to the source story. A final story in the sequence is a target story.