Annotated Trend Chart for Article Verification
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Solution Overview
Problem
Users face difficulty in quickly determining the accuracy of predictions in articles by searching for trend charts and identifying changes since the article's publication, as current methods are tedious and time-consuming.
Innovation Solution
A data processing method and apparatus that obtain, annotate, and send trend charts to clients upon receiving a link request, including the publishing time and related information, allowing users to view the trend situation of a matter since the article was published.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for trend charts and analyze data points to verify article predictions, then they can obtain accurate verification results, but the process becomes time-consuming and tedious
Solution Approach 1:
The system performs preliminary actions by automatically obtaining the trend chart data and identifying the publishing time point before the user even requests verification. When a user clicks on an article link, the system has already prepared the annotated trend chart with the publishing time marked, eliminating the need for users to manually search and analyze data points.
Solution Approach 2:
The system introduces an intermediary mechanism - the automated annotation system that acts as a mediator between the raw trend chart data and the user. This intermediary automatically marks the publishing time point on the trend chart, bridging the gap between the user's verification need and the raw data, thereby saving time while maintaining accuracy.
2Loss of information
If users manually search for trend charts on multiple websites to verify article predictions, then they can find comprehensive data, but the operation becomes complex and tedious
Solution Approach 1:
The system merges multiple data sources and functions into a single integrated solution. Instead of requiring users to search across multiple websites, the system consolidates trend chart retrieval, publishing time identification, and verification annotation into one automated process that delivers comprehensive data through a single interface.
Solution Approach 2:
The system implements multi-functionality by combining several operations into one unified service: automatic trend chart retrieval, publishing time detection, data point identification, and visual annotation. This universal approach handles all verification tasks through a single mechanism, simplifying user operations while ensuring data completeness.
3Measurement precision
If the system provides raw trend chart data without annotations, then data accuracy is maintained, but users cannot quickly identify the publishing time and subsequent trends
Solution Approach 1:
The system performs preliminary annotation by automatically identifying and marking the publishing time point on the trend chart before presenting it to the user. This preliminary action maintains data accuracy while simultaneously improving analysis efficiency, as users receive pre-processed data with key reference points already highlighted.
Solution Approach 2:
The annotation system serves as an intermediary that bridges raw accurate data and user comprehension needs. It adds visual markers and annotations to the accurate trend chart data, enabling users to quickly identify the publishing time and subsequent trends without compromising the underlying data accuracy.
Data Source
AI summary
A data processing method includes receiving, from a client, a link request associated with a link in an online article, where the link request includes a matter name corresponding to a matter described in the article and a publishing time of the article. The method also includes obtaining a trend chart corresponding to the matter name, where the trend chart includes data associated with the publishing time, annotating information associated with the publishing time in the trend chart, and sending the annotated trend chart to the client for display.