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AI is polluting truth in journalism. Here’s how to disrupt the misinformation feedback loop. 

Bulletin

Marshall Van AlstynefeaturingMarshall Van Alstyne
July 14, 2025 - Updated On July 18, 2025
in Business Challenges, Media Mention, National Media, Our Insights
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AI is polluting truth in journalism. Here’s how to disrupt the misinformation feedback loop. 
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July 14, 2025 

Bulletin recently published an article featuring Marshall Van Alstyne, Allen and Kelli Professor of Information Systems, discussing how AI is accelerating the spread of misinformation, outpacing journalism and polluting the broader information ecosystem. 

With generative AI dramatically lowering the cost of creating false content, fake news now floods the internet, even making its way into reputable outlets. While some solutions aim to curb the supply, such as tightening journalistic standards or using detection tools, Van Alstyne emphasizes that the demand side, fueled by distrust and partisanship, is equally important. Studies show misinformation tends to take hold among small, highly motivated groups rather than the general public. 

That makes technological detection alone an uphill battle. “If you’re trying to detect fake news or misinformation, then there’re always ways to detect the detector and avoid detection,” Van Alstyne explains. 

He and other experts argue that disrupting the misinformation feedback loop requires more than technical fixes, it calls for strategies that build trust, foster media literacy, and shift the emotional appeal of false narratives toward more constructive truths. 

Source: AI is polluting truth in journalism. Here’s how to disrupt the misinformation feedback loop. 
Via: Bulletin
Tags: AIJournalismMarshall Van AlstyneMisinformation
Marshall Van Alstyne

Marshall Van Alstyne

Marshall Van Alstyne is the Allen and Kelli Questrom Professor in Information Systems. He is one of the leading experts in network business models. He conducts research on information economics, covering such topics as communications markets, the economics of networks, intellectual property, social effects of technology, and productivity effects of information. As co-developer of the concept of “two-sided networks” he has been a major contributor to the theory of network effects, a set of ideas now taught worldwide. His co-authored article on the subject is a Harvard Business Review top 50 of all time. Awards include two patents, National Science Foundation IOC, SGER, SBIR, iCorp and Career Awards, and eight best paper awards. Articles or commentary have appeared in Science, Nature, Management Science, Harvard Business Review, The New York Times, and The Wall Street Journal.

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