Live Stream Viewer Demographics via Handle Analysis
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Solution Overview
Problem
Existing technologies face challenges in accurately estimating the demographics of audiences for live-streamed videos, particularly for silent viewers who do not participate in online chats, making it difficult to provide targeted advertising and resource allocation effectively.
Innovation Solution
A method that automatically estimates demographic information of viewers based on stream data and their handles, using text analysis and similarity measurements, allowing for aggregated demographic analysis of audiences without requiring direct participation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demographic information is estimated based on online chat messages, then measurement precision improves, but device complexity increases due to need for text analysis systems
Solution Approach 1:
The patent uses the viewer's handle as an intermediary identifier to access and analyze their chat messages across different platforms. Instead of directly analyzing all viewer data, the system uses the handle as a key to retrieve relevant message data from external platforms, simplifying the overall system architecture while maintaining estimation accuracy.
Solution Approach 2:
The system creates a copy or representation of demographic information by analyzing text patterns in chat messages associated with viewer handles. Rather than requiring direct interaction with viewers or complex identification systems, the patent copies demographic insights from textual data, enabling accurate estimation without increasing system complexity.
2Productivity
If demographic analysis is performed on all viewers including silent viewers, then productivity improves, but measurement precision deteriorates due to lack of participation data
Solution Approach 1:
The patent implements a universal handle-based identification system that works for all viewers regardless of their participation level. The same handle that identifies active chat participants also identifies silent viewers, allowing the system to uniformly apply demographic analysis across the entire audience without requiring different methods for different viewer types.
Solution Approach 2:
The system performs preliminary actions by retrieving and analyzing chat message history associated with viewer handles before making demographic estimations. This preliminary data gathering enables the system to make informed estimates about silent viewers based on their historical chat behavior, improving precision without reducing productivity.
3Object-generated harmful factors
If viewer privacy is protected by not collecting personal information, then object-generated harmful factors decrease, but loss of information increases making demographic estimation difficult
Solution Approach 1:
The patent uses publicly available chat messages as an intermediary data source that does not require collecting personal information. Instead of directly obtaining sensitive demographic data from viewers, the system analyzes voluntarily shared textual content in chat messages, protecting privacy while still enabling demographic estimation through pattern recognition.
Solution Approach 2:
The system allows viewers to self-identify through their chosen handles and voluntarily shared chat messages. By leveraging data that viewers already provide willingly in the chat environment, the patent eliminates the need for explicit personal information collection while maintaining the ability to perform demographic analysis.
Data Source
AI summary
A method, an apparatus and a computer program product for evaluating demographics of viewers of live-streamed videos. A stream data of a video stream provided to an audience over the Internet via a live-streaming platform may be obtained. The stream data comprise information describing a content of the video stream. Each viewer may be identified in the video stream using a handle. Demographic information of a viewer may be estimated, automatically by a computerized device, based on the stream data and the handle of the viewer. An aggregated demographic information of the audience may be estimated based on the demographic information of a plurality of viewers comprised by the audience. Actions may be performed based on the aggregated demographic information of the audience.