Audience Platform Preference System for Content Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for selecting questions and interviewees often do not align with audience interests, as they are typically curated by editors without input from the audience, leading to a disconnect between the content provided and the audience's preferences.
Innovation Solution
A system that allows users to submit, vote on, and prioritize content contributions, including questions, through a preference system that utilizes a web module interfaced with a database, enabling users to digg or bury content, thereby promoting content that meets certain thresholds and reflecting user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If editors and journalists curate questions and select interviewees, then content can be professionally produced and controlled, but the content may not align with audience interests and preferences
Solution Approach 1:
The system segments the content curation process into two independent parts: professional editors handle quality control and production standards, while the audience handles selection and prioritization of content based on their interests. This allows both professional oversight and audience alignment to coexist without conflict.
Solution Approach 2:
The system introduces dynamic audience voting mechanisms that allow content prioritization to adapt in real-time based on audience preferences. Questions and interviewees are not statically selected by editors alone, but dynamically prioritized through audience engagement, enabling the content to adapt to changing audience interests while maintaining professional standards.
2Adaptability or versatility
If a preference system with voting and thresholds is implemented, then content alignment with audience interests improves, but system complexity increases
Solution Approach 1:
The preference system is designed to handle multiple content types (questions, interviewees, stories) through a unified voting and threshold mechanism. Rather than creating separate systems for each content type, the same digg/bury interface and threshold logic applies universally across all content, reducing overall system complexity while maintaining adaptability.
Solution Approach 2:
The system allows content to be automatically promoted or demoted based on audience voting thresholds without requiring manual intervention from editors. Once thresholds are set, the system self-regulates content visibility based on audience preferences, reducing the operational complexity of manual content management while improving audience alignment.
Data Source
AI summary
An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.