Response Content Item Targeting System for Counter-Narrative Dissemination
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Solution Overview
Problem
Users are often exposed to misleading or false information presented by one perspective on media platforms, which can disadvantage opposing viewpoints by limiting their ability to transmit counter narratives effectively.
Innovation Solution
A system that allows users to identify and transmit response content items to devices associated with users who have been exposed to biased content, using a graphical user interface to select topics, user types, and group profiles, thereby clustering users and content items to generate targeted responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If content items are presented to users on media platforms, then users are exposed to various perspectives, but users may only be exposed to misleading or false information from one perspective while opposing viewpoints are disadvantaged
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between content providers and users. This system receives content items, determines target audiences based on user profiles and characteristics, and distributes content strategically to ensure opposing viewpoints reach appropriate users. The intermediary balances information flow without requiring direct user-to-user transmission, thus reducing system complexity while preventing loss of diverse perspectives.
Solution Approach 2:
The system changes the parameter of content distribution by using user profiles, characteristics, and clustering algorithms to dynamically determine which users receive which content items. Instead of uniform distribution, the system adjusts content allocation based on multiple parameters including user demographics, preferences, and exposure history, ensuring that counter-narratives reach users who have been exposed to opposing viewpoints.
2Productivity
If a system distributes content items to users based on user profiles, then targeted dissemination of counter narratives is achieved, but the complexity of determining and managing user clusters increases
Solution Approach 1:
The patent segments users into distinct clusters or groups based on shared characteristics, demographics, and content consumption patterns. By dividing the user base into manageable segments, the system can efficiently target counter-narratives to specific groups without having to manage individual user distributions. This segmentation reduces the computational complexity of the overall system while maintaining high productivity in disseminating counter-narratives to appropriate audiences.
Solution Approach 2:
The system performs preliminary actions by pre-determining user clusters and their characteristics before content distribution occurs. User profiles are created and maintained in advance, and clustering is performed beforehand so that when content items need to be distributed, the target audience is already identified. This preliminary preparation reduces real-time computational complexity while maintaining efficient targeted dissemination.
3Measurement precision
If users are clustered into groups based on content assignments, then targeted content delivery is improved, but the time and computational resources required for clustering increase
Solution Approach 1:
The system performs user clustering and profile creation as preliminary actions before content distribution is needed. By pre-segmenting users into clusters based on their characteristics and preferences, the system eliminates the need for real-time clustering when content needs to be distributed. This advance preparation maintains high precision in target audience identification while significantly reducing the time required at the moment of content delivery.
Solution Approach 2:
The system creates simplified representations or copies of user cluster characteristics that can be quickly matched against content items. Instead of performing complex clustering algorithms each time content is distributed, the system uses pre-computed cluster profiles that serve as quick reference guides for determining appropriate content delivery targets, thus reducing computational time while maintaining identification precision.
Data Source
AI summary
One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.