Online media literacy intervention in Indonesia reduces misinformation sharing intention

Media literacy is widely viewed as an important tool in the fight against the spread of misinformation online. However, efforts to boost media literacy have primarily focused on Western-media and Western-oriented social media platforms, which are substantively different from the media and platforms used widely in the Global South. In the present work, we focus on the media ecosystem of Indonesia and report the results of an online media literacy intervention consisting of short-videos that were targeted specifically to social media users in Indonesia (N= 656). We found that participants in our media literacy intervention were 64% more likely to reduce their sharing intentions of false headlines than our control group (p \u3c 0.001). Our novel media literacy intervention shows promise as a useful tool to reduce misinformation in Southeast Asia

MEWS: Real-time Social Media Manipulation Detection and Analysis

This article presents a beta-version of MEWS (Misinformation Early Warning System). It describes the various aspects of the ingestion, manipulation detection, and graphing algorithms employed to determine--in near real-time--the relationships between social media images as they emerge and spread on social media platforms. By combining these various technologies into a single processing pipeline, MEWS can identify manipulated media items as they arise and identify when these particular items begin trending on individual social media platforms or even across multiple platforms. The emergence of a novel manipulation followed by rapid diffusion of the manipulated content suggests a disinformation campaign

Pilot study suggests online media literacy programming reduces belief in false news in Indonesia

Amidst the threat of digital misinformation, we offer a pilot study regarding the efficacy of an online social media literacy campaign aimed at empowering individuals in Indonesia with skills to help them identify misinformation. We found that users who engaged with our online training materials and educational videos were more likely to identify misinformation than those in our control group (total N=1,000). Given the promising results of our preliminary study, we plan to expand efforts in this area, and build upon lessons learned from this pilot study