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I got permission from @Antvasima to create this, I would have yesterday but i'm lazy I had other priorities.
Basically, the idea is to create a new thread inside the Wiki Management section where reputable community members, or staff, can review scans that are the most likely to be forged or edited in some other way (Tier 1 revisions, massive verse upgrades/downgrades, etc.) All scans of this nature should be verified here in order to verify their legitimacy. This would feasily reduce the likelihood of a DMC situation from ever popping up again, without imposing some draconian policy.
Now, how can you detect edited scans?
1. The easiest way to do that is look inside the work itself, the easiest way to do this is to find online screenshots, or youtube playthroughs. Or if possible, acquire the original work yourself and skim through it.
2. Use Photo forensics software. A simple tool that can easily be used is https://fotoforensics.com/.
FotoForensics is a highly effective tool that is utilized by many people to determine the authenticity of an image. This unique tool utilizes a combination of various data types, including JPEG, ELA, and metadata, to accurately analyze and assess an image. Unlike other online tools, FotoForensics takes a different approach to image analysis. When you submit an image for analysis, the process begins with Error Level Analysis (ELA), which is a highly advanced technique that can detect even the slightest modifications or tampering that might have been done to the image. The initial outcome of the analysis is presented alongside the original image that you provided, allowing you to easily compare and contrast the results. If the uploaded image has been tampered with or modified, the analyzed result will display a range of vibrant colors, indicating the areas where the image has been altered. However, if the image is unaltered and authentic, the analyzed image will only show white color, making it clear that the image is genuine.
In addition, FotoForensics provides a range of alternative analysis methods, which can be easily accessed through the left-hand menu. These methods allow for a more precise assessment of the image, enabling you to determine if any modifications or alterations have been made to the image. The tool's user-friendly interface makes it incredibly easy to use, even for those who are not experts in the field of image analysis.
3. Scan metadata using a Tool. I personally use https://metadata2go.com/ .
There was an alternate proposal made by @TheUnshakableOne , where a new staff role would be created to handle these issues. Ant deemed it not necessary, but in case there is low community participation, this should be given a thought.
Basically, the idea is to create a new thread inside the Wiki Management section where reputable community members, or staff, can review scans that are the most likely to be forged or edited in some other way (Tier 1 revisions, massive verse upgrades/downgrades, etc.) All scans of this nature should be verified here in order to verify their legitimacy. This would feasily reduce the likelihood of a DMC situation from ever popping up again, without imposing some draconian policy.
Now, how can you detect edited scans?
1. The easiest way to do that is look inside the work itself, the easiest way to do this is to find online screenshots, or youtube playthroughs. Or if possible, acquire the original work yourself and skim through it.
2. Use Photo forensics software. A simple tool that can easily be used is https://fotoforensics.com/.
FotoForensics is a highly effective tool that is utilized by many people to determine the authenticity of an image. This unique tool utilizes a combination of various data types, including JPEG, ELA, and metadata, to accurately analyze and assess an image. Unlike other online tools, FotoForensics takes a different approach to image analysis. When you submit an image for analysis, the process begins with Error Level Analysis (ELA), which is a highly advanced technique that can detect even the slightest modifications or tampering that might have been done to the image. The initial outcome of the analysis is presented alongside the original image that you provided, allowing you to easily compare and contrast the results. If the uploaded image has been tampered with or modified, the analyzed result will display a range of vibrant colors, indicating the areas where the image has been altered. However, if the image is unaltered and authentic, the analyzed image will only show white color, making it clear that the image is genuine.
In addition, FotoForensics provides a range of alternative analysis methods, which can be easily accessed through the left-hand menu. These methods allow for a more precise assessment of the image, enabling you to determine if any modifications or alterations have been made to the image. The tool's user-friendly interface makes it incredibly easy to use, even for those who are not experts in the field of image analysis.
3. Scan metadata using a Tool. I personally use https://metadata2go.com/ .
There was an alternate proposal made by @TheUnshakableOne , where a new staff role would be created to handle these issues. Ant deemed it not necessary, but in case there is low community participation, this should be given a thought.