Social Analytics for Targeted Petition Creation
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Solution Overview
Problem
Existing petition systems often fail to effectively reach the right individuals due to a disconnection between the cause and the individuals who can commission a petition, leading to reduced impact and effectiveness.
Innovation Solution
A system utilizing social analytics to generate a social supplication model that identifies relevant users based on their social topics and relationships, allowing for targeted petition creation and dissemination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional petition systems are used, then the system complexity is low, but the effectiveness and reach of petitions are reduced due to inability to identify relevant users
Solution Approach 1:
The patent introduces social analytics as an intermediary layer between petition creators and potential signers. This intermediary uses social media data, user profiles, and relationship networks to identify and connect relevant users to causes, thereby improving effectiveness without requiring complex direct matching systems between petitioners and signers.
Solution Approach 2:
The patent replaces traditional mechanical petition distribution systems with automated social analytics-based user identification and engagement mechanisms. Instead of manual or simple automated distribution, the system uses algorithms that analyze social media data, user interests, and relationship networks to automatically identify and engage relevant users, improving effectiveness while managing complexity through automation.
2Measurement precision
If targeted user identification is implemented, then the alignment between petitions and appropriate causes improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: social media data collection, user profile analysis, relationship network mapping, and petition matching. This segmentation allows each component to process specific types of data using appropriate methods, improving alignment precision while managing overall complexity through modular processing stages.
Solution Approach 2:
The patent changes parameters such as user engagement thresholds, relationship distance metrics, and topic relevance weights to optimize the balance between alignment precision and processing complexity. By adjusting these parameters, the system can achieve high precision in identifying relevant users without requiring excessive computational resources for every possible combination of factors.
3Quantity of substance
If social analytics are used to identify relevant users, then the reach of petitions is enhanced, but the time required for data analysis and user identification increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and storing social media data, user profiles, and relationship networks in accessible formats before petition creation. This allows the system to quickly query and match relevant users without requiring time-consuming real-time analysis of all social media data, thereby enhancing reach while reducing the time required for user identification during actual petition campaigns.
Solution Approach 2:
The patent implements feedback mechanisms that allow the system to learn from previous petition successes and adjust its user identification algorithms accordingly. By analyzing which users and networks have been most effective in previous campaigns, the system can optimize its analysis time by focusing computational resources on the most promising user segments, thereby enhancing reach without proportionally increasing analysis time.
Data Source
AI summary
A method, computer system, and computer program product for petition creation through social analytics are provided. The embodiment may include generating a repository of user social data. The embodiment may also include extracting one or more social topics that are related to the user social data. The embodiment may further include generating a social supplication model using the repository and the extracted social topic. The embodiment may also include determining discussion issues within the social topic and a topic discussion distance between each user based on the generated social supplication model. The embodiment may further include generating a petition based on a determined discussion issue.