Google Research Shows Rise of AI Misinformation

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Google Research

Recent study, AMMEBA: A Large-Scale Survey and Dataset of Media-Based Misinformation
In-The-Wild
, co-authored by researchers from Google, Duke University and several fact-checking and media organizations, was published in a preprint at arXiv last week. The paper introduces a massive new dataset of AI misinformation dating back to 1995 that was fact-checked by websites like Snopes. And they find that sudden prominence of AI-generated content in fact checked misinformation claims suggests a rapidly changing landscape.

The original content is a 24-page PDF research paper containing about 18442 words, taking about 43 minutes to read.

AMMEBA: A Large-Scale Survey and Dataset of Media-Based Misinformation
In-The-Wild

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AI Misinformation

Research PDF to Summary

The Google Research Shows Fast Rise of AI Misinformation summary is as follows:

 Analyzing 135,838 fact checks, a large-scale study found that around 80% of misinformation claims involve media, with images being the dominant modality, while AI-generated content saw a significant rise in 2023.

1. Media-based misinformation claims are pervasive and have been growing over time.

【a】Misinformation claims from a total of 135,838 fact checks were analyzed, dating back to 1995.

【b】A large majority of these claims, about 80%, involve media.

2. Images are the historically dominant modality associated with misinformation claims.

【a】Images were historically the dominant modality associated with misinformation claims.

【b】However, videos became more common starting in 2022 and now participate in more than 60% of fact-checked claims that include media.

3. AI-generated content was rare until 2023, when its presence in misinformation claims dramatically increased.

【a】Despite widespread concern since the late 2010s, AI-generated content was rare until Spring of 2023.

【b】Starting shortly before 2023, generative AI-generated images begin to rapidly rise as a proportion of overall fact-checked image manipulations.

4. Context manipulations are the most common type of image manipulation in misinformation claims.

【a】Context manipulations, which use (frequently unmodified) images alongside a false claim about what they depict, are the most common type.

【b】Context manipulations dominate and have for all points with sufficient data.

5. Text is very common in the images associated with misinformation claims, often articulating the misinformation claim itself.

【a】Text is very common in the images, occurring over or alongside the visual content of the image.

【b】Among all annotated misinformation-relevant images bearing text, the proportion where the text is also relevant to the misinformation is plotted in Fig. 21.

6. Self-contextualizing images, where the false context is provided by text in the image itself, are a significant portion of context manipulations.

【a】The intersection of image text and context manipulations is of particular interest here.

【b】Raters noted the presence of text, and did not discriminate between cases where the text occurs on an object in the scene or is digitally overlaid on top of the image.

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Read AI Misinformation News from CBC and NBC Quickly

AI image misinformation has surged, Google researchers find

NBC News

AI images are becoming a big part of the misinformation ecosystem, but real images taken out of context remain a major issue.

Google research shows the fast rise of AI-generated misinformation

CBC News

Artificial intelligence has become a source of misinformation with lightning speed

《AI image misinformation has surged, Google researchers find》 The summary is as follows:

📔 Brief summaryFake images generated by AI have proliferated so quickly that they’re now nearly as common as those manipulated by text or traditional editing tools like Photoshop, according to researchers at Google and fact-checking organizations.

📖 Abstract1. According to researchers, fake images generated by AI are now nearly as common as those manipulated by text or traditional editing tools like Photoshop.

2. The most common way pictures are used to mislead the public is through real images taken out of context, rather than AI-generated images.

3. AI-generated content in fact-checked misinformation claims has become prominent rapidly, suggesting a changing landscape.

4. The democratization of generative AI tools has made it easy for almost anyone to spread false information online.

5. About 80% of fact-checked misinformation claims involve media such as images and video, with video increasingly dominating since 2022.

The original text consists of 1326 words, takes about 3 minutes to read,Generate mind map

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