Every week, events reshape the balance of power between states, transform the flow of information, and raise new questions about the reliability of what we read or watch. Understanding these global news requires going beyond the simple news stream to identify the mechanisms that produce them.
Media Coalitions of the Global South: A Turning Point in Global News Coverage
The coverage of conflicts in Africa or Asia still largely relies on major Western agencies. In recent years, African, Latin American, and Asian media have been organizing into alliances to produce and share their own content.
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The most concrete example is the Alliance of African Press Agencies (AAP). In September 2025, this structure launched a joint content exchange program focusing on the security and climate crises on the continent. The funding comes from the African Union, which presented this initiative as a way to correct the narrative biases of major international agencies.
This dynamic directly affects how French and French-speaking audiences perceive events. When a conflict in the Sahel or a political crisis in Latin America is reported by local newsrooms, the angles change. The historical and social contexts are better represented. To follow these developments over time, platforms like actumag.info aggregate analyses from diverse sources.
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This movement is not limited to Africa. Several media alliances from the South pool investigations and data to reduce their dependence on AFP, AP, or Reuters feeds. The result is more diverse information, even if the editorial quality remains uneven from one partner to another.
Political Deepfakes and Regulation: What the Laws Adopted Since 2024 Change
Let’s take a concrete case. During the elections in Slovakia, then in India and the United States, manipulated videos of leaders circulated massively on social media. These deepfakes, generated by artificial intelligence, imitate the voice and face of a personality with a realism that deceives the majority of viewers.
In response to these documented episodes, several countries have adopted repressive frameworks targeting electoral deepfakes. India published guidelines as early as March 2024 imposing the rapid removal of such content. Other jurisdictions followed with similar texts.
Why this quick reaction? Because the window of harm for a political deepfake is very short. A false video published 48 hours before an election can influence voting before it is even identified as fraudulent. Regulations therefore aim to impose very short removal deadlines on platforms.
Limits of Current Measures
Automated detection of deepfakes is progressing, but it remains imperfect. Generative AI tools are evolving faster than the filters meant to detect them. Several points deserve attention:
- Platforms do not all apply the same moderation standards, creating gray areas depending on the country of dissemination.
- The texts adopted vary significantly from one jurisdiction to another, making international cooperation difficult on cross-border content.
- User reporting remains the primary alert mechanism, well before algorithmic detection.
The 2024-2026 electoral cycle serves as a laboratory. The lessons learned from these initial cases will likely shape the legislation of the coming years, including in France and the European Union.
Artificial Intelligence in Newsrooms: Between Productivity Gains and Editorial Risk
AI is not limited to deepfakes. It is also transforming the internal functioning of media. Several major newsrooms formalized their rules for using generative AI during 2025 by publishing charters or internal policies governing these practices.
These charters set clear limits on what AI can and cannot produce in a journalistic context. An article written by AI must be reviewed and validated by a journalist. Generated images must be labeled as such.
What AI Changes Concretely in a Newsroom
On a daily basis, the most common uses involve transcribing interviews, summarizing long documents, and quickly translating dispatches. These once time-consuming tasks free up time for investigative and fieldwork.
- Automated transcription significantly reduces the processing time of a long interview.
- Synthesis tools allow for reviewing institutional reports of several hundred pages in just a few minutes.
- Assisted translation speeds up coverage of international events in languages that are underrepresented in the newsroom.
The risk, however, lies in the standardization of angles and the impoverishment of editorial style. When several newsrooms use the same tools to process the same dispatch, the articles become similar. The added value of the journalist then lies in their analytical ability, contextualization, and editorial choices, skills that no language model can replace.
Information Warfare and Slopaganda: The Iranian Case
The term “slopaganda” refers to mass propaganda produced at low cost, often by AI, and disseminated in volume on social media. Iran is among the state actors that use this method to project a favorable geopolitical narrative.
The mechanics are simple. Automated accounts publish hundreds of pieces of content per day, mixing real information with distorted elements. The goal is not to convince but to saturate the informational space, making verification more difficult for readers as well as journalists.
This phenomenon directly affects French-speaking audiences. Documented campaigns target French communities on social media, particularly around issues related to the Middle East and European economic policies. The ability to identify these influence operations becomes a reading skill as fundamental as mastering the language itself.
Global news is not just a succession of events. Media alliances from the South, regulations against deepfakes, the adoption of AI in newsrooms, and slopaganda campaigns form an interconnected ecosystem. Understanding these mechanisms allows for better filtering of information and spotting what constitutes verified fact in an increasingly dense daily flow.