The role of narrative in misinformation games

Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research.

While understanding how social media algorithms operate is essential to protect oneself from misinformation, such understanding is often unevenly distributed. This study explores the algorithmic knowledge gap both within and between countries, using national surveys in the United States (N = 1,415), the United Kingdom (N = 1,435), South Korea (N = 1,798), and Mexico (N = 784).

Research on digital misinformation has turned its attention to large language models (LLMs) and their handling of sensitive political topics. Through an AI audit, we analyze how three LLM-powered chatbots (Perplexity, Google Bard, and Bing Chat) generate content in response to the prompts linked to common Russian disinformation narratives about the war in Ukraine.

Was the 2023 Slovakia election the first swung by deepfakes? Did the victory of a pro-Russian candidate, following the release of a deepfake allegedly depicting election fraud, herald a new era of disinformation? Our analysis of the so-called “Slovak case” complicates this narrative, highlighting critical factors that made the electorate particularly susceptible to pro-Russian disinformation.

Much of the research and discourse on risks from artificial intelligence (AI) image generators, such as DALL-E and Midjourney, has centered around whether they could be used to inject false information into political discourse. We show that spammers and scammers—seemingly motivated by profit or clout, not ideology—are already using AI-generated images to gain significant traction on Facebook.

Although prebunking games have shown promise in Western and English-speaking contexts, there is a notable lack of research on such interventions in countries of the Global South. In response to this gap, we developed Gali Fakta, a new kind of media literacy game specifically tailored for an Indonesian audience.