Legacy News Readers Embrace Explainable AI

Yahoo's AI push includes the 2024 acquisition of Artifact, the AI-powered news aggregation app from Instagram's co-founders. The technology from Artifact, which was known for its powerful personalization and clickbait-detection features, is now being integrated into Yahoo News to enhance content curation and recommendation for its 185 million monthly readers. The move towards "Explainable AI" (XAI) is a direct response to growing consumer distrust of algorithmic "black boxes." Research shows that while users are wary of news written primarily by AI, they are more comfortable when there is human oversight and clear explanations of what the AI did. Nearly 98% of news consumers want to be informed if AI was used in the creation of content. Feedly's AI, named Leo, acts as a research assistant that users can train to prioritize topics, mute irrelevant content, and even summarize articles. Beyond simple keyword matching, Leo can be trained to recognize broader concepts and trends, including tracking specific business events like product launches or funding announcements across a user's feeds. This industry-wide shift is less about replacing human journalists and more about using AI for sophisticated filtering and formatting. Data from 2025 shows audiences are more interested in AI applications that reformat content—like summarization or text-to-audio—than in those that only select which stories they see. Flipboard, in contrast, emphasizes its long-standing belief in balancing algorithms with human judgment, stating that "journalists are in charge of the algorithms." The company uses its Topic AI to categorize content but relies on human curators to provide context and vet sources, a strategy aimed at minimizing misinformation and building a more fact-based user experience. Consumer comfort with AI in news remains low, with U.S. sentiment around 25%. However, interest is significantly higher among younger audiences, with 76% of people under 35 open to AI personalization options. This demographic difference suggests that features like explainability will be crucial for building trust with a new generation of news consumers. The ultimate goal of explainable AI is to enhance user trust by making algorithmic decision-making transparent. By allowing users to understand *why* certain stories are in their feed, platforms hope to mitigate concerns about bias and manipulation, moving from opaque personalization to a more collaborative and trustworthy user experience.