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A system to crowd source corrections to a public report driven from data Disclosure Number: IPCOM000243079D
Publication Date: 2015-Sep-14
Document File: 4 page(s) / 96K

Publishing Venue

The Prior Art Database


The system in this disclosure provides a method to feedback original publisher of the acceptance of the report and a platform to let readers submit evidences of an inaccurate data.

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A system to crowd source corrections to a public report driven from data

Nowadays it is easier for people to receive reports delivered by public organizations. Such reports describe every aspect of people's life and work. For example, Food safety report, Environmental protection report and Employment rate report. Because of this, people are more and more dependent on such public reports. On the other hand, the reports are created based on the data that authors collect, however, the data may not be fully comprehensive or accurate and people who reading the report still want to make comments or correct inaccurate data. Therefore people would often like to submit correction suggestions for a report related to their real life, but how to avoid unnecessary or hostile correction to a public report at the same time?

There is a challenge to being able to prioritize and validate suggested corrections when they are contributed by the general public. The simplest approach is to simply count the number of matching corrections. However, for such an approach, it is too easy for a group of people who all have an invested interest in making a particular change to a document, to make similar correction suggestions, therefore triggering a high hit count for that correction.

The value of this disclosure is that it provides a prioritized list of document correction suggestions so that the items that were submitted for corrections by the most independent readers, appear highest in the list. The system is also able to prevent groups of individuals from pushing their corrections to the top of the priority list, by analyzing the social media connectedness of the individuals and only counting social groups rather than individual updates. This system can prevent a group of people being together and generating unfairly influence the outcome. This disclosure for prioritizing suggested document corrections across a number of documents has following novelties:

     - A means for users to tag a report or part of a report as inaccurate or incomplete - A means for users to upload a source of evidence as to why the the report or part of the report is inaccurate - A module for establishing whether the user is socially connected to any previous users that corrected the same part of the report (using existing APIs(Application Programming Interface) to determine whether two users are connected)

- A module fo...