In the Media

Because they rely on real footage and the alterations are often harder to spot, videos that are recontextualized or slightly edited can sometimes be more effective in misleading people, Zeve Sanderson told AFP.

Bringing AI to search engines will hurt publishers, but there are some potential upsides for consumers of information, says Zeve Sanderson.

Jonathan Nagler discusses research from our Bilingual Election Monitor project, which examines Latino online news consumption.

Mike Masnick covers the latest study from the US 2020 Facebook & Instagram research project, co-authored by Joshua A. Tucker, which explores how staying off the platforms impact political knowledge and beliefs.

Joshua A. Tucker spoke to The Washington Post about Meta's shift away from news on their platforms, and how this affects the landscape of social media and politics.

Joshua A. Tucker reflects on how conducting research at scale has informed our understanding of social media's impact on society, often challenging conventional wisdom.

Chatbots could make it easier than ever for bad actors to flood local elections officials with FOIA requests and make it harder for them to make sure elections run well and smoothly, Zeve Sanderson tells WIRED.

Joshua A. Tucker joins BBC's The Media Show to discuss how Trump has used Truth Social and X to drive news media attention.

CNBC's recent All-America Economic Survey asked people about their opinions on a potential TikTok ban. Joshua A. Tucker joined CNBC to discuss the results and the broader implications of a ban.

Following the approval of a deal to take Truth Social public, Joshua A. Tucker spoke to CNN about how the platform fits into the larger social media landscape.

As generative AI lowers the barrier for producing multimodal content, we could see misinformation spreading more on apps like TikTok, which shares content based on on algorithmic recommendation rather than social-graphs.

Zeve Sanderson spoke to Dazed about misinformation, digital news diets, and why some of AI's greatest risks are worsened by the destruction of local media.

Zeve Sanderson spoke to Scientific American about how generative AI lowered barriers to producing misinformation and why recent changes in algorithmic recommendations have made it harder to understand our information ecosystem.

Artificial intelligence poses particular risks to local elections, which are typically more vulnerable to attacks and disinformation than national races, Zeve Sanderson told Wisconsin Watch.

In this reflection of how the social media landscape has changed since Facebook first launched, The Economist sites a study led by Joshua A. Tucker that examined users' Facebook and Instagram feeds ahead of the U.S. 2020 election.

When assessing the potential impact of AI on elections, it's important to strike a balance between thoughtful examination of the risks and healthy skepticism about their likelihood, Zeve Sanderson & Joshua A. Tucker told The Atlantic.

Faced with data restrictions and harassment, researchers are mapping out fresh approaches to studying social media’s political reach, Joshua A. Tucker told Nature.

Zeve Sanderson joined C-SPAN's Washington Journal to talk about AI and answer live callers' questions about the potential impact it could have on the 2024 presidential election.

An understated risk of disinformation is its indirect effect on the public's confidence in the truth, Joshua A. Tucker told NBC News.

A Washington Post analysis reports on findings from a recent CSMaP paper, which indicate that the practice of "doing your own research" on search engines can amplify readers' belief in false claims.

The level of trust people have in search engines highlights the need for them to be rigorously studied, Kevin Aslett told Bloomberg.

An editorial in Nature highlights a recent CSMaP study that finds shortcomings in Google Search when it comes to verifying information online.

When transparency is left to the discretion of the platforms, we don't always get the full picture, Joshua A. Tucker told The New York Times.

Media literacy proponents often advise readers to use search engines to verify what they see online, but doing so can actually increase belief in false information, according to a CSMaP study recently published in Nature.

Kevin Aslett joined WBUR's Here & Now to talk about how fact checking misinformation and conspiracy theories with search engines can actually make you more likely to believe them.