With climate panel as a beacon, global group takes on misinformation

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A group of researchers from the International Panel on the Information Environment during the Nobel Prize Summit at the National Academy of Sciences in Washington, May 24, 2023. From left: Wendy Chun, Sebastián Valenzuela, Saiph Savage, Charlton McIlwain, Young Mie Kim, Philip Howard, Sheldon Himelfarb, Selcan Kaynak and Sushma Raman. The group of scholars introduced an international panel to study the digital information landscape, inspired by those who had been warning of the effect of global warming.(Shuran Huang/The New York Times)

A group of researchers from the International Panel on the Information Environment during the Nobel Prize Summit in Washington on May 24.

PHOTO: NYTIMES

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WASHINGTON Two years ago, at a virtual gathering organised by the Nobel Foundation, Dr Sheldon Himelfarb outlined the idea that the world’s leading scholars should join forces to study misinformation the way that scientists of the Intergovernmental Panel on Climate Change (IPCC) documented the global effect of carbon emissions.

That new group gathered for its official introduction in Washington on Wednesday, uniting more than 200 researchers from 55 countries with a similar sense of urgency and alarm as the threat of global warming grows. In the group’s first report, the researchers questioned the effectiveness of fighting falsehoods online with content moderation, one of the most common strategies for combating misinformation, saying other tactics had more scientific evidence behind them.

“You have to approach the information environment in the same way scientists approached the environment,” said Dr Himelfarb, the group’s executive director and the chief executive of PeaceTech Lab, an advocacy organisation affiliated with the United States Institute of Peace in Washington.

The group, the International Panel on the Information Environment, has registered as a non-governmental organisation in Zurich at a time when the fight against misinformation has become increasingly mired in a broader erosion of trust in government, news organisations and other public institutions.

“Algorithmic bias, manipulation and misinformation has become a global and existential threat that exacerbates existing social problems, degrades public life, cripples humanitarian initiatives and prevents progress on other serious threats,” the panel wrote in its inaugural announcement.

The panel was introduced during a three-day meeting, organised by the Nobel Foundation and the National Academy of Sciences, devoted to the erosion of public understanding and trust in science.

Speaker after speaker at the meeting described an onslaught of disinformation that has become a dispiriting fact of public life across the globe and that, with the recent explosion of artificial intelligence, could soon become even worse.

Philippine journalist Maria Ressa, a winner of the Nobel Peace Prize in 2021, issued a manifesto demanding that democratic governments and Big Tech companies become more transparent, do more to protect personal data and privacy and end practices that contribute to disinformation and other threats against independent journalism. It has 276 signatories representing more than 140 organisations.

One challenge facing these efforts is overcoming the increasingly fierce arguments over what exactly constitutes misinformation. In the United States, the efforts to combat it have run aground on First Amendment protections of free speech. The biggest companies have now shifted focus and resources away from the fight against misinformation, even as new platforms emerge promising to forgo policies that moderate content.

On Wednesday, the panel’s researchers presented the summary of its first two studies, which reviewed 4,798 peer-reviewed publications examining misleading information on social media and aggregated the findings on the effectiveness of countermeasures to it.

The findings suggest that the most effective responses to false information online are labelling content as “disputed” or flagging sources of state media and publishing corrective information, typically in the form of debunking rumours and disinformation.

Far less certain, the report argues, is the effectiveness of public and government efforts to pressure social media giants like Facebook and Twitter to take down content, and internal company algorithms that suspend or play down offending accounts. The same is true of media literacy programmes that train people to identify sources of misinformation.

“We’re not saying that information literacy programmes don’t work,” said Associate Professor Sebastian Valenzuela of the Pontifical Catholic University of Chile who oversaw the study. “What we’re saying is that we need more evidence that they work.”

The panel’s inspirational model, the IPCC, was founded in 1988, a time when climate change was equally contested. Its scientists, working under the auspices of the United Nations, toiled for decades before its assessments and recommendations came to be recognised as scientific consensus.

When it comes to the digital landscape and the impact on society of abuses, the science of disinformation could prove even harder to measure in concrete terms. Climate change is “hard science”, said Professor Young Mie Kim of the University of Wisconsin-Madison who serves as vice-chair of a committee focused on research methodology.

“So, relatively speaking, it’s easier to develop some common concepts and tool kits,” Prof Kim said. “It’s hard to do that in social science or humanities.”

The new panel eschews a governmental role – at least for now. It plans to issue regular reports, not fact-checking individual falsehoods but rather looking for deeper forces behind the spread of disinformation as a way to guide government policy.

“It’d be too hard to put a bunch of scientists on evaluating the truth claims in any particular piece of junk,” said Professor Philip N. Howard, director of Oxford University’s Programme on Democracy and Technology and chairman of the new panel.

“What we can do is look for infrastructural interference,” he added. “What we can do is audit an algorithmic system to see if it’s got lousy or unintended outcomes. It’s still hard, but I think that’s within reach as a research objective.” NYTIMES

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