Frontiers The Use Of Artificial Intelligence In Counter

Bonisiwe Shabane

-Dec 2, 2025, 9:37 AM

frontiers the use of artificial intelligence in counter

Our research integrity and auditing teams lead the rigorous process that protects the quality of the scientific record Frontiers in Political Science (Feb 2025) Disinformation has recently become a subject of widespread concerns across the globe. To combat this issue, various initiatives have emerged, aimed at identifying, tracking, and debunking disinformation. Artificial intelligence (AI) has been incorporated as a tool to counter disinformation, but its implementation has not always been successful and may even be counterproductive. Thus, there is a growing recognition of the need for benchmarking the various ongoing efforts to ensure greater efficacy and coordination in the use of AI and assure that this does not lead to...

Our goal is to provide a mapping of the projects that use AI to counter disinformation by means of their hyperlink network analysis to shed light on their aims, approaches, and challenges. The Rise of AI in the Fight Against Disinformation: A Collaborative Approach The digital age, characterized by the proliferation of online platforms and social media, has witnessed an unprecedented surge in the spread of disinformation. Traditional methods of media regulation and censorship struggle to keep pace with the speed and scale of this challenge. Artificial intelligence (AI) is increasingly viewed as a crucial tool in combating this infodemic, offering the potential to automate the detection and flagging of misleading information. International organizations, governments, and private companies are investing heavily in AI-powered solutions.

However, the success of these initiatives hinges on a collaborative approach, integrating top-down interventions with bottom-up empowerment of journalists and civil society organizations. Mapping the AI-Powered Anti-Disinformation Landscape: A Web-Based Approach To understand the evolving landscape of AI-driven anti-disinformation initiatives, researchers employed a web mapping methodology. This approach leverages the interconnected nature of the web, utilizing hyperlinks as proxies for social connections. By analyzing the citation structure of websites dedicated to combating disinformation with AI, researchers gain insight into the networks of actors involved and their respective strategies. This study specifically examined 81 websites actively engaged in developing or utilizing AI against disinformation, creating a network map visualizing their interconnections.

Unveiling Three Distinct Clusters: Europe, the US, and Fact-Checking Agencies Your research is the real superpower - learn how we maximise its impact through our leading community journals Start your submission and get more impact for your research by publishing with us. Ready to publish? Check out our author guidelines for everything you need to know about submission, from choosing a journal and section to preparing your manuscript. Reviewing a manuscript?

See our editorial guidelines for everything you need to know about Frontiers’ peer review process. Our efficient and rigorous peer review means you’ll get a decision on your manuscript in just 77 days. Article processing charges (APCs) apply to articles that are accepted for publication by our external editors, following rigorous peer review. Artificial intelligence is changing the state of terrorism by 2025, wherein there are new threats and challenges wherein the counter-terrorism departments of the world face issues in the form of complexities. Governments and large organizations can no longer singlehandedly enjoy the powers of AI, as more terrorist groups have started to install AI-powered solutions to improve their propaganda activities, online deception, recruitment, and strategic operations. Terrorist organizations like the Islamic State Khorasan (ISK) have now turned to AI-enabled media to create multilingual propaganda, usually as hyper-realistic deepfakes and interactive materials.

The materials then are disseminated on encrypted channels and their AI algorithms once targeted to reach those in vulnerable conditions are ready to consume radical materials. Bots that are AI-based go further in complementing the recruitment process since they behave like people responding in a way that speaks to the psychology profile of a particular customer. The operational use of AI by terrorist entities is also gaining ground. Biometrics, AI-based surveillance, autonomous navigation, and facial recognition are under trial to be used in precision strikes through drones. The use of AI in cyberattacks is more prevalent today, and it follows that cyberattacks have become even more commonplace and more advanced when it comes to password breaking, phishing, and disinformation transmission. Though the attacks have not occurred so frequently, combat reports indicate that terrorist groups are already playing around with the tactical capabilities of AI with a future prediction that it will be used to...

Public safety and intelligence agencies have struck back by developing sophisticated AI systems capable of using massive data streams to identify possible threats as an action is just about to happen. In 2025, European Union and United Nations further developed their AI-pad early warning systems, including biometric scanners, behavioral pattern tracking and online instant monitoring. Such systems strive to follow the indicators of radicalism and the destruction of networks at an earlier stage. The predictive algorithm police helps conduct risk profiling, which assists the authorities to allocate resources and determine where high-risk situations will happen. Major social media are beginning to use AI to identify extremist content before it can be posted and machine learning is getting better at making more accurate and faster digital forensics. Posted on February 7, 2024 | Completed on June 30, 2023 | By: Philip Payne, Joseph Matthew Friar, Curtis Smedley

The Cybersecurity & Information Systems Information Analysis Center performed open-source research and obtained white papers and reports from numerous sources to include the Defense Technical Information Center Research and Engineering Gateway and Elsevier’s ScienceDirect. Overall, the research showed that the best way to counter artificial intelligence (AI) offensive tools was with AI defensive tools. The resulting research is described in detail. This TI response report is organized into three distinct sections: (1) completed cyber-AI research, (2) current market studies, and (3) cyber-AI centers. The first section discusses completed cyber-AI research, with reports and perspectives detailing the importance of AI in cybersecurity. Next, this report details current market research and studies.

The top defensive and offensive tools and capabilities are mentioned, along with forecasts and statistics on current and future cyber-AI investments. Finally, two institutions specifically created for the study of cyber-AI are identified. The respective missions, along with current work of these institutions, are also highlighted. What is the state of industry investment in developing products in support of counter‑artificial intelligence (AI) offensive tools and techniques? The objective for the information is to help the inquiring organization determine what types of tools and techniques are currently available, as well as what counter-AI investments are being made and in what areas. Current U.S.

efforts and products are of primary interest. This report summarizes the research findings of the inquiry. Given the limited duration of the research effort, this report is primarily a curated summary of sources and information, analyzed by our researchers, pertaining to counter-AI cyberoffensive tools and techniques. Section 2.1 begins by highlighting research that has already been completed in cyber-AI research to date.

Frontiers The Use Of Artificial Intelligence In Counter

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Unveiling Three Distinct Clusters: Europe, The US, And Fact-Checking Agencies

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