Importantly though, this skepticism applied more to the editorial framing of a story than a complete denial of facts, such as when and where a picture was taken.Ĭonfident digital news subscriber (high trust, high awareness): A person in this category is digitally savvy and is comfortable distinguishing between true and false news when provided information from news outlets they trust. Building trust in specific news outlets is difficult in these cases: it may be part of a person’s identity to be skeptical of mainstream media and hyper-alert to perceived cues of bias. Interviewees from Round 1 fell pretty evenly into one of four categories see if you can picture them in your head:ĭistrustful news skeptic (low trust, high awareness): Seeking to call out bias in mainstream media, a person in this category may use motivated reasoning to find any evidence to confirm their belief that the media is pushing a particular agenda. Round 3: Prototype testing with 12 people and one design.Round 2: Prototype testing with seven people and multiple prototype designs.Round 1: Interviews with 15 people about the current state of news and misinformation and their “mental models” of trust in news photos.The Times conducted in-depth interviews (“qualitative user studies”) with 34 news consumers in three rounds to both understand how people currently process the news images they see and what information would help them gauge a photo’s validity. With a bit of work and some thoughtful designs, we could use it to help platforms and, more importantly, news consumers avoid inaccurate uses. News organizations have this information. Or as News Provenance Project lead Sasha Koren puts it:Ĭritical information that typically goes into a photo caption, such as time, date, location and the accurate identification of people and events shown doesn’t travel with a photo when it’s posted to social media, where it can be reposted with egregious inaccuracies. “What we wanted to focus on is: In a situation where if you are susceptible to that, what are the best safeguards to help head that off at the pass?” “It’s less about it being a survey about where are people more susceptible to misinformation and more about people who are more likely to be fooled by misinformation,” said Marc Lavallee, executive director of Times’ R&D team. But they determined that a lot of things would have to change structurally about how photos work online for any solution to be widespread. They made a proof-of-concept using blockchain to store more metadata for images. To sum up: They learned a lot of interesting things about how news consumers evaluate the images they see online - and how different people value different contextual clues when determining whether or not a photo seems real and trustworthy. Today, the News Provenance Project is releasing some of its initial findings. In the months since then, staffers have been doing user research and building prototypes of such a tool - taking advantage of blockchain’s ability to store data immutably and to track its usage over time. Its goal was more straightforward: Can blockchain make it easier for news consumers to understand where the photos they see online came from? There’s a need for it: Pew reported last June that 46 percent of Americans say they find it difficult to recognize when images are false or have been doctored - and that was before Peak Deepfake. Changing currency doesn’t seem to change anything fundamental about the news industry’s struggles.īut if it can’t save journalism, can blockchain still be helpful to journalism, in defined, targeted ways? That was the question raised last July by the News Provenance Project - a project of The New York Times’ R&D team in collaboration with IBM Garage. Can blockchain save journalism? The Magic 8-Ball’s best answer thus far appears to be “ Outlook not so good.” Cryptocurrency hype has receded an Ethereum token, which would have cost you $1,438 two years ago, can now be had for $166.
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