Tootfinder

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
Haiyang Li, Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong
https://arxiv.org/abs/2509.25991

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
In recent years, detecting fake multimodal content on social media has drawn increasing attention. Two major forms of deception dominate: human-crafted misinformation (e.g., rumors and misleading posts) and AI-generated content produced by image synthesis models or vision-language models (VLMs). Although both share deceptive intent, they are typically studied in isolation. NLP research focuses on human-written misinformation, while the CV community targets AI-generated artifacts. As a result, e…

This week's Mindscape podcast is with Petter Törnberg who has been running agent based simulated social networks to try and figure out why they're so divisive and polarizing.
His models do apparently capture these features of the networks which promote the most popular posts to everyone.
Sad to learn that simply using chronological feeds apparently not only doesn't help he reckons it makes things worse!
Maybe his agent's just aren't smart enough to follow the right people, but then probably nor are mere humans.
🤔
#socialMedia #podcast #fediverse

All of us can remember at least some part of ourselves from when we were younger. Within most of us there exists a child with ideals for a good world, untainted by our politics' need for violence and its justifications carried through every layer of society, from education to the media.
Over the years that child is killed, bombarded with misinformation, shot with exaggeration, buried in fear about why certain groups of people who could be their friends or neighbours, are actually rapi…

China's new AI content labeling law goes into effect, as part of a broad effort to address AI-related risks such as misinformation and copyright infringement (Coco Feng/South China Morning Post)
https://www.scmp.com/tech/policy/article/3

China’s social media sites rush to abide by AI-generated content labelling law
The law requires explicit and implicit labels for AI-generated text, images, audio, video and other virtual content.

Reform UK councillor in Burnley accused of ‘whipping up misinformation’
https://northwestbylines.co.uk/politic

Reform UK councillor in Burnley accused of ‘whipping up misinformation’
Rumours of migrant housing resulted in an arson attack in Burnley, the council fights back online

A top official at the Food and Drug Administration (FDA)
demanded the removal of YouTube videos of himself
that were published by a physician and writer who has been critical of medical misinformation and public health officials in the Trump administration.
Jonathan Howard, a neurologist and psychiatrist in New York City,
received an email from YouTube on Friday night, which stated that
Vinay Prasad, who is the FDA’s top vaccine regulator, had demanded the remov…

China's new AI content labeling law goes into effect, as part of a broad effort to address AI-related risks such as misinformation and copyright infringement (Coco Feng/South China Morning Post)
https://www.scmp.com/tech/policy/article/3

China’s social media sites rush to abide by AI-generated content labelling law
The law requires explicit and implicit labels for AI-generated text, images, audio, video and other virtual content.

Is this chart lying to me? Automating the detection of misleading visualizations
Jonathan Tonglet, Jan Zimny, Tinne Tuytelaars, Iryna Gurevych
https://arxiv.org/abs/2508.21675 h…

Is this chart lying to me? Automating the detection of misleading visualizations
Misleading visualizations are a potent driver of misinformation on social media and the web. By violating chart design principles, they distort data and lead readers to draw inaccurate conclusions. Prior work has shown that both humans and multimodal large language models (MLLMs) are frequently deceived by such visualizations. Automatically detecting misleading visualizations and identifying the specific design rules they violate could help protect readers and reduce the spread of misinformatio…

CrediBench: Building Web-Scale Network Datasets for Information Integrity
Emma Kondrup, Sebastian Sabry, Hussein Abdallah, Zachary Yang, James Zhou, Kellin Pelrine, Jean-Fran\c{c}ois Godbout, Michael M. Bronstein, Reihaneh Rabbany, Shenyang Huang
https://arxiv.org/abs/2509.23340

CrediBench: Building Web-Scale Network Datasets for Information Integrity
Online misinformation poses an escalating threat, amplified by the Internet's open nature and increasingly capable LLMs that generate persuasive yet deceptive content. Existing misinformation detection methods typically focus on either textual content or network structure in isolation, failing to leverage the rich, dynamic interplay between website content and hyperlink relationships that characterizes real-world misinformation ecosystems. We introduce CrediBench: a large-scale data processing …

Facebook Data Reveal the Devastating Real-World Harms Caused By the Spread of Misinformation - Slashdot
https://tech.slashdot.org/story/25/09/24/2244215/facebook-data-reveal-the-devastating-real-world-harms-caused-by-the-spread-of-misinformation

"Why wind farms attract so much misinformation and conspiracy theory"
#WindTurbines #Energy #Renewables

Why wind farms attract so much misinformation and conspiracy theory
Opposition is often rooted in a worldview in crisis.

Why wind farms attract so much misinformation and conspiracy theory (Marc Hudson/Ars Technica)
https://arstechnica.com/science/2025/08/why-wind-farms-attract-so-much-misinformation-and-conspiracy-theory/
http://www.memeorandum.com/250823/p29#a250823p29

Another case of death by alternative medicine. Anyone who recommends the Gerson method should be in the dock, IMO.
https://

My sister died after refusing cancer treatment. Now I want to get justice for her – and hold my mum to account
Gabriel Shemirani blames his mother’s conspiracy theories for the death of his twin Paloma at age 23. As the inquest nears a verdict, he talks to Marianna Spring about his campaign against health misinformation

Skeptik: A Hybrid Framework for Combating Potential Misinformation in Journalism
Arlen Fan, Fan Lei, Steven R. Corman, Ross Maciejewski
https://arxiv.org/abs/2508.18499 https://…

Skeptik: A Hybrid Framework for Combating Potential Misinformation in Journalism
The proliferation of misinformation in journalism, often stemming from flawed reasoning and logical fallacies, poses significant challenges to public understanding and trust in news media. Traditional fact-checking methods, while valuable, are insufficient for detecting the subtle logical inconsistencies that can mislead readers within seemingly factual content. To address this gap, we introduce Skeptik, a hybrid framework that integrates Large Language Models (LLMs) with heuristic approaches t…

Recommendations include —
•Avoid repeating misinfo w/o correction
•Leverage trusted sources to counter misinformation & provide accurate health info
•Debunk misinformation often &repeatedly w/ evidence-based methods
**•Fund basic & translational
research on the psychology of health misinformation , including effective ways to counter it **

Sander van der Linden (@profsanderlinden.bsky.social)
Public health is under attack by a deluge of misinformation. We offer a consensus report from the American Psychological Association summarizing what we know & what interventions are effective in countering it. We provide 8 concrete recommendations. Open-access - https://awspntest.apa.org/fulltext/2026-77135-001.pdf

from my link log —
Timing conclusions: GPS, NTP, PTP timing with Linux.
https://scottstuff.net/posts/2025/06/10/timing-conclusions/
saved 2025-08-25

Timing Conclusions
This is the 13th article that I’ve written lately on NTP and PTP timing with Linux. I set out to answer a couple questions for myself and ended up spending two months swimming in an ocean of nanosecond-scale measurements. When I started, I saw a lot of misinformation about NTP and PTP online. Things like: Conventional wisdom said that NTP was good for millisecond-scale timing accuracy. I expected that to be rather pessimistic, and expected to see low microsecond to high nanosecond-range synci…

On many platforms, we are no longer the customers, but instead have become the product. Our data, even if anonymised, is sold on to actors we never intended it to reach, who can then target us with content and advertising. This includes deliberately harmful content that leads to real-world violence, spreads misinformation, wreaks havoc on our psychological wellbeing and seeks to undermine social cohesion.
Sir T.B.L.

Quelle surprise: seriöse Webseiten blocken den Zugang für KI-Trainingszugriff eher als Seiten, deren Zweck der Desinformation dient.
https://arxiv.org/abs/2510.10315

Empty rhetoric, weasel words, paltering, and unverified claims: the bullshit index of AI. Read on here: https://spectrum.ieee.org/ai-misinformation-llm-bullshit

AI Misinformation: The Bullshit Index Explained
Can AI models be trusted? Discover how a "bullshit index" measures their indifference to truth and what it means for users.

A researcher found 88 TikTok accounts that used AI-generated versions of Jorge Ramos and other Spanish-language journalists to spread misinformation for profit (Nicole Acevedo/NBC News)
https://www.nbcnews.com/news/latino/fake-ai-vide…

What's behind the TikTok accounts using AI-generated versions of real Latino journalists?
The accounts point to the challenge of stopping or controlling the surge in fake images and misinformation targeting Spanish-speakers in the U.S., as AI technology advances.

https://www.theverge.com/politics/777630/wsj-trans-misinformation-charlie-kirk

In other news, yelling "Fire!" in a crowded theater is now okay... 😏
YouTube to start bringing back creators banned for COVID-19 and election misinformation
https://social.trom.tf/display/dbc8dc44-1968-d544-ea27-d25105570866

YouTube Bans Lifted
In other news, yelling "Fire!" in a crowded theater is now okay... 😏 YouTube to start bringing back creators banned for COVID-19 and election misinformat...

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Arghodeep Nandi, Megha Sundriyal, Euna Mehnaz Khan, Jikai Sun, Emily Vraga, Jaideep Srivastava, Tanmoy Chakraborty
https://arxiv.org/abs/2509.15896

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to evaluating factual accuracy. However, the detrimental effect of misinformation transcends simple falsehoods; it takes advantage of how individuals perceive, interpret, and emotionally react to information. This underscores the need to move beyond factuality and adopt more human-centered detection frameworks. In this sur…

Public support for misinformation interventions depends on perceived fairness, effectiveness, and intrusiveness
Catherine King, Samantha C. Phillips, Kathleen M. Carley
https://arxiv.org/abs/2508.05849

Public support for misinformation interventions depends on perceived fairness, effectiveness, and intrusiveness
The proliferation of misinformation on social media has concerning possible consequences, such as the degradation of democratic norms. While recent research on countering misinformation has largely focused on analyzing the effectiveness of interventions, the factors associated with public support for these interventions have received little attention. We asked 1,010 American social media users to rate their support for and perceptions of ten misinformation interventions implemented by the gover…

Roland Burke: de mislukte pogingen om misinformatie te reguleren vanaf de Volkerenbond tot op heden en de prijs die we daarvoor betalen https://www.theguardian.com/commentisfree/

US halts foreign misinformation countermeasures
https://thehill.com/homenews/administration/5510375-state-department-halts-misinformation-efforts/

ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection
Tai-Ming Huang, Wei-Tung Lin, Kai-Lung Hua, Wen-Huang Cheng, Junichi Yamagishi, Jun-Cheng Chen
https://arxiv.org/abs/2509.19841

ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection
The increasing realism of AI-generated images has raised serious concerns about misinformation and privacy violations, highlighting the urgent need for accurate and interpretable detection methods. While existing approaches have made progress, most rely on binary classification without explanations or depend heavily on supervised fine-tuning, resulting in limited generalization. In this paper, we propose ThinkFake, a novel reasoning-based and generalizable framework for AI-generated image detec…

Oklahoma court stops social studies standards with 2020 election misinformation from taking effect (Sean Murphy/Associated Press)
https://apnews.com/article/oklahoma-standards-election-misinformation-ryan-walters-bd2f5336aeada1b3b9f353c0b9e048a9
http://www.memeorandum.com/250916/p151#a250916p151

Scientists slam Trump regime climate report as a ‘farce’ full of misinformation
https://www.theguardian.com/us-news/2025/aug/01/trump-epa-climate-change-report

YouTube launches a pilot program to give terminated creators a "second chance" by letting them apply to create a new channel (Zach Vallese/CNBC)
https://www.cnbc.com/2025/10/09/youtube-banned-accounts-trump-misinformation.html

YouTube will give banned creators a 'second chance' after rule rollback
YouTube is rolling out a feature for previously terminated channels to apply to create a new channel after scrutiny from Republicans and President Donald Trump.

FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
Daniel Berhane Araya, Duoduo Liao
https://arxiv.org/abs/2510.11654

FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
Financial markets face growing threats from misinformation that can trigger billions in losses in minutes. Most existing approaches lack transparency in their decision-making and provide limited attribution to credible sources. We introduce FinVet, a novel multi-agent framework that integrates two Retrieval-Augmented Generation (RAG) pipelines with external fact-checking through a confidence-weighted voting mechanism. FinVet employs adaptive three-tier processing that dynamically adjusts verifi…

It's been about three weeks, but Metacurity's digest of the best long-form (and longish) infosec-related pieces we couldn't properly fit into our daily news crush is back!
This issue's selection covers
--Russian cybersecurity companies are tools for global expansion,
--Merrick Garland's fears of a judicial system cyberattack came true,
--Flock has plans for ubiquitous surveillance to stop crime,
--Misinformation from adversaries now runs ram…

Best infosec-related long reads for the week of 8/16/25, 8/23/25, and 8/30/25
Russian cybersecurity companies are tools for global expansion, Merrick Garland's fears of a judicial system cyberattack came true, Flock has plans for ubiquitous surveillance to stop crime, Misinformation from adversaries now runs rampant with no US pushback, AI can't capture personality, more

The BBC and UK's other public sector broadcasters call for new regulations to force platforms such as YouTube to give them a fairer deal and more prominence (Michael Savage/The Guardian)
https://www.theguardian.com/media/2025/sep…

Visual Authority and the Rhetoric of Health Misinformation: A Multimodal Analysis of Social Media Videos
Mohammad Reza Zarei, Barbara Stead-Coyle, Michael Christensen, Sarah Everts, Majid Komeili
https://arxiv.org/abs/2509.20724

Visual Authority and the Rhetoric of Health Misinformation: A Multimodal Analysis of Social Media Videos
Short form video platforms are central sites for health advice, where alternative narratives mix useful, misleading, and harmful content. Rather than adjudicating truth, this study examines how credibility is packaged in nutrition and supplement videos by analyzing the intersection of authority signals, narrative techniques, and monetization. We assemble a cross platform corpus of 152 public videos from TikTok, Instagram, and YouTube and annotate each on 26 features spanning visual authority, p…

Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
Xiaofan Li, Xing Gao
https://arxiv.org/abs/2509.20277 https://

Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
In recent years, various software supply chain (SSC) attacks have posed significant risks to the global community. Severe consequences may arise if developers integrate insecure code snippets that are vulnerable to SSC attacks into their products. Particularly, code generation techniques, such as large language models (LLMs), have been widely utilized in the developer community. However, LLMs are known to suffer from inherent issues when generating code, including fabrication, misinformation, a…

LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
Shubham Gupta, Shraban Kumar Chatterjee, Suman Kundu
https://arxiv.org/abs/2508.18819

LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
The proliferation of misinformation in the digital age has led to significant societal challenges. Existing approaches often struggle with capturing long-range dependencies, complex semantic relations, and the social dynamics influencing news dissemination. Furthermore, these methods require extensive labelled datasets, making their deployment resource-intensive. In this study, we propose a novel self-supervised misinformation detection framework that integrates both complex semantic relations …

Strategies educators can use to counter misinformation related to the quantum information revolution
Jaya Shivangani Kashyap, Chandralekha Singh
https://arxiv.org/abs/2509.12489

Strategies educators can use to counter misinformation related to the quantum information revolution
Remarkable advances in quantum information science and technology (QIST) have taken place in recent years. However, they have also been accompanied by widespread misinformation. This paper provides suggestions for how educators can help students at all levels and especially early learners including those at the pre-college and college levels learn key QIST concepts so that they are less likely to be misinformed, e.g., by online unvetted resources. We discuss findings from interviews with five c…

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar
https://arxiv.org/abs/2509.17933

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within individual countries, leaving gaps in our understanding of how these information manipulation tools interact and reinforce each other across diverse societies. In this paper, we study perceptions about the interplay between censorship, false information, and influ…

charlie kirk assasination is the most sickening news cycle to me in a long time not for any of the reasons u might jump to (im numb to the fact trans people and privacy and free speech are kinda cooked in the us), but cuz i just cant work out what's real anymore. every step of the way ive been thrown off by the sheer amount of misinformation, and even worse needing others to point out that multiple images were ai. most nihilistic and empty its ever been

When Truth Does Not Take on Its Shoes: How Misinformation Spreads in Chatrooms
Shuige Liu
https://arxiv.org/abs/2510.08658 https://arxiv.org/pdf/2510.08658…

When Truth Does Not Take on Its Shoes: How Misinformation Spreads in Chatrooms
We examine how misinformation spreads in social networks composed of individuals with long-term offline relationships. Especially, we focus on why misinformation persists and diffuses despite being recognized by most as false. In our psychological game theoretical model, each agent who receives a piece of (mis)information must first decide how to react -- by openly endorsing it, remaining silent, or openly challenging it. After observing the reactions of her neighbors who also received the mess…

"Trump admin’s new anti-renewables rule rooted in fossil-fuel misinformation"
#US #USA #America #Renewables

Trump admin’s new anti-renewables rule rooted in fossil-fuel misinformation
The Interior’s recent directive casts solar and wind energy as bad for the environment, without weighing costs of oil, coal, and gas, critics say.

Crosslisted article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- Visual Authority and the Rhetoric of Health Misinformation: A Multimodal Analysis of Social Media...
Mohammad Reza Zarei, Barbara Stead-Coyle, Michael Christensen, Sarah Everts, Majid Komeili

yimbys keep calling it misinformation that #SB79 allows demolition of rent-controlled duplexes and telling others to read the bill. it's right here, plain as day!

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
Zikun Cui, Tianyi Huang, Chia-En Chiang, Cuiqianhe Du
https://arxiv.org/abs/2508.03092 https://

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
With the proliferation of Large Language Models (LLMs), the detection of misinformation has become increasingly important and complex. This research proposes an innovative verifiable misinformation detection LLM agent that goes beyond traditional true/false binary judgments. The agent actively verifies claims through dynamic interaction with diverse web sources, assesses information source credibility, synthesizes evidence, and provides a complete verifiable reasoning process. Our designed agen…

US steps back from joint efforts to combat misinformation, FT reports: https://benborges.xyz/2025/09/09/us-steps-back-from-joint.html

“In an era of online misinformation, declining trust and paywalled services, the [Australian Dictionary of Biography] keeps fact-based, scholarly information in the public domain. Its continued high quality and availability supports our shared mission of making knowledge freely and reliably accessible to all. #Wikimedia #Australia

Why the Australian Dictionary of Biography matters to Wikimedians (and the world)
The ADB powers Wikipedia and protects our past

The WSJ carelessly spread anti-trans misinformation (Elizabeth Lopatto/The Verge)
https://www.theverge.com/politics/777630/wsj-trans-misinformation-charlie-kirk
http://www.memeorandum.com/250912/p140#a250912p140

Attention-based Mixture of Experts for Robust Speech Deepfake Detection
Viola Negroni, Davide Salvi, Alessandro Ilic Mezza, Paolo Bestagini, Stefano Tubaro
https://arxiv.org/abs/2509.17585

Attention-based Mixture of Experts for Robust Speech Deepfake Detection
AI-generated speech is becoming increasingly used in everyday life, powering virtual assistants, accessibility tools, and other applications. However, it is also being exploited for malicious purposes such as impersonation, misinformation, and biometric spoofing. As speech deepfakes become nearly indistinguishable from real human speech, the need for robust detection methods and effective countermeasures has become critically urgent. In this paper, we present the ISPL's submission to the SAFE c…

😂😭
https://theonion.com/ice-raids-myth-vs-fact/
MYTH: ​My grandmother was deported to El Salvador.
FACT:​ No one really knows where she was deported to.

ICE Raids: Myth Vs. Fact
As Immigration and Customs Enforcement operations ramp up across the country, so has misinformation. The Onion dispels common myths surrounding ICE raids.  MYTH: ICE agents lack proper training. FACT: Most have been racists their entire lives. MYTH:​ ICE raids do nothing to reduce crime. FACT​: A fruit vendor who sold mangoes that weren’t quite ripe […]

I’d love to self host my email, but it’s the only one that’s “hard”, due to spam, etc
#selfhosting
https://mastodon.social/@Daojoan/115199002483404467

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Nicolas Steinacker-Olsztyn, Devashish Gosain, Ha Dao
https://arxiv.org/abs/2510.10315 https://

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Large Language Models (LLMs) are increasingly relying on web crawling to stay up to date and accurately answer user queries. These crawlers are expected to honor robots.txt files, which govern automated access. In this study, for the first time, we investigate whether reputable news websites and misinformation sites differ in how they configure these files, particularly in relation to AI crawlers. Analyzing a curated dataset, we find a stark contrast: 60.0% of reputable sites disallow at least …

Quietly gathered some fire starter from the counter of a local restaurant.
#misinformation #disinformation #racism #antiimmigration #vaccines #rightwingextremism

Meet Dr. Lincoln, the Internet’s Favorite OB-GYN - Ms. Magazine
https://msmagazine.com/2025/10/18/dr-jennifer-lincoln-health-abortion-misinformation-birth-control/

E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
Ahmad Mousavi, Yeganeh Abdollahinejad, Roberto Corizzo, Nathalie Japkowicz, Zois Boukouvalas
https://arxiv.org/abs/2508.11197

E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
Detecting multimodal misinformation on social media remains challenging due to inconsistencies between modalities, changes in temporal patterns, and substantial class imbalance. Many existing methods treat posts independently and fail to capture the event-level structure that connects them across time and modality. We propose E-CaTCH, an interpretable and scalable framework for robustly detecting misinformation. If needed, E-CaTCH clusters posts into pseudo-events based on textual similarity an…

TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
Zehong Yan, Peng Qi, Wynne Hsu, Mong Li Lee
https://arxiv.org/abs/2509.04448 https://

TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
Multimodal misinformation, encompassing textual, visual, and cross-modal distortions, poses an increasing societal threat that is amplified by generative AI. Existing methods typically focus on a single type of distortion and struggle to generalize to unseen scenarios. In this work, we observe that different distortion types share common reasoning capabilities while also requiring task-specific skills. We hypothesize that joint training across distortion types facilitates knowledge sharing and …

"PR firms are spreading climate misinformation on behalf of fossil fuel companies. Could Australia stop them?"
#Australia #FossilFuels #Energy

PR firms are spreading climate misinformation on behalf of fossil fuel companies. Could Australia stop them?
Have you heard offshore windfarms kill whales? (They don't.) Or that electric vehicles catch fire more often than petrol cars? (It's the opposite.) Perhaps you've heard "natural" gas is clean? (It can be worse than coal.)

Safeguarding Patient Trust in the Age of AI: Tackling Health Misinformation with Explainable AI
Sueun Hong, Shuojie Fu, Ovidiu Serban, Brianna Bao, James Kinross, Francesa Toni, Guy Martin, Uddhav Vaghela
https://arxiv.org/abs/2509.04052

Safeguarding Patient Trust in the Age of AI: Tackling Health Misinformation with Explainable AI
AI-generated health misinformation poses unprecedented threats to patient safety and healthcare system trust globally. This white paper presents an explainable AI framework developed through the EPSRC INDICATE project to combat medical misinformation while enhancing evidence-based healthcare delivery. Our systematic review of 17 studies reveals the urgent need for transparent AI systems in healthcare. The proposed solution demonstrates 95% recall in clinical evidence retrieval and integrates no…

A profile of Charlie Kirk: Trump ally and divisive provocateur | The Guardian https://www.theguardian.com/us-news/2025/sep/10/who-is-charlie-kirk-profile -- “During an appearance with Trump in Georgia last fall, he claimed that Democrats “stand for everythin…

Metacurity is pleased to offer our free and premium subscribers a weekly digest of the best long-form (and longish) infosec-related pieces we couldn't properly fit into our daily news crush.
This week's selection covers
--How the internet radicalizes young men,
--The real-life damage of porn deepfakes,
--The JLR attack damaged local communities,
--Amazon is pushing into the police tech market,
--Russian misinformation targeted a Canadian journalist…

Best infosec-related long reads for the week of 9/27/25
How the internet radicalizes young men, The real-life damage of porn deepfakes, The JLR attack damaged local communities, Amazon is pushing into the police tech market, Russian misinformation targeted a Canadian journalist

TL;DR: what if instead of denying the harms of fascism, we denied its suppressive threats of punishment
Many of us have really sharpened our denial skills since the advent of the ongoing pandemic (perhaps you even hesitated at the word "ongoing" there and thought "maybe I won't read this one, it seems like it'll be tiresome"). I don't say this as a preface to a fiery condemnation or a plea to "sanity" or a bunch of evidence of how bad things are, because I too have honed my denial skills in these recent years, and I feel like talking about that development.
Denial comes in many forms, including strategic information avoidance ("I don't have time to look that up right now", "I keep forgetting to look into that", "well this author made a tiny mistake, so I'll click away and read something else", "I'm so tired of hearing about this, let me scroll farther", etc.) strategic dismissal ("look, there's a bit of uncertainty here, I should ignore this", "this doesn't line up perfectly with my anecdotal experience, it must be completely wrong", etc.) and strategic forgetting ("I don't remember what that one study said exactly; it was painful to think about", "I forgot exactly what my friend was saying when we got into that argument", etc.). It's in fact a kind of skill that you can get better at, along with the complementary skill of compartmentalization. It can of course be incredibly harmful, and a huge genre of fables exists precisely to highlight its harms, but it also has some short-term psychological benefits, chiefly in the form of muting anxiety. This is not an endorsement of denial (the harms can be catastrophic), but I want to acknowledge that there *are* short-term benefits. Via compartmentalization, it's even possible to be honest with ourselves about some of our own denials without giving them up immediately.
But as I said earlier, I'm not here to talk you out of your denials. Instead, given that we are so good at denial now, I'm here to ask you to be strategic about it. In particular, we live in a world awash with propaganda/advertising that serves both political and commercial ends. Why not use some of our denial skills to counteract that?
For example, I know quite a few people in complete denial of our current political situation, but those who aren't (including myself) often express consternation about just how many people in the country are supporting literal fascism. Of course, logically that appearance of widespread support is going to be partly a lie, given how much our public media is beholden to the fascists or outright in their side. Finding better facts on the true level of support is hard, but in the meantime, why not be in denial about the "fact" that Trump has widespread popular support?
To give another example: advertisers constantly barrage us with messages about our bodies and weight, trying to keep us insecure (and thus in the mood to spend money to "fix" the problem). For sure cutting through that bullshit by reading about body positivity etc. is a better solution, but in the meantime, why not be in denial about there being anything wrong with your body?
This kind of intentional denial certainly has its own risks (our bodies do actually need regular maintenance, for example, so complete denial on that front is risky) but there's definitely a whole lot of misinformation out there that it would be better to ignore. To the extent such denial expands to a more general denial of underlying problems, this idea of intentional denial is probably just bad. But I sure wish that in a world where people (including myself) routinely deny significant widespread dangers like COVID-19's long-term risks or the ongoing harms of escalating fascism, they'd at least also deny some of the propaganda keeping them unhappy and passive. Instead of being in denial about US-run concentration camps, why not be in denial that the state will be able to punish you for resisting them?

Fabricating Holiness: Characterizing Religious Misinformation Circulators on Arabic Social Media
Mahmoud Fawzi, Bj\"orn Ross, Walid Magdy
https://arxiv.org/abs/2508.07845 h…

Fabricating Holiness: Characterizing Religious Misinformation Circulators on Arabic Social Media
Misinformation is a growing concern in a decade involving critical global events. While social media regulation is mainly dedicated towards the detection and prevention of fake news and political misinformation, there is limited research about religious misinformation which has only been addressed through qualitative approaches. In this work, we study the spread of fabricated quotes (Hadith) that are claimed to belong to Prophet Muhammad (the prophet of Islam) as a case study demonstrating one …

Only one quote at a time is allowed...
Great job at restricting a feature that could be bigger but sure whatever...
social media should be pointless? I mean this is our great defense against misinformation?
#LOL #MisinformationWins

YouTube launches a pilot program to give terminated creators a "second chance" by letting them apply to create a new channel (Zach Vallese/CNBC)
https://www.cnbc.com/2025/10/09/youtube-banned-accounts-trump-misinformation.html

YouTube will give banned creators a 'second chance' after rule rollback
YouTube is rolling out a feature for previously terminated channels to apply to create a new channel after scrutiny from Republicans and President Donald Trump.

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
Luke Bates, Max Glockner, Preslav Nakov, Iryna Gurevych
https://arxiv.org/abs/2508.20468

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
Conspiracy theories erode public trust in science and institutions while resisting debunking by evolving and absorbing counter-evidence. As AI-generated misinformation becomes increasingly sophisticated, understanding rhetorical patterns in conspiratorial content is important for developing interventions such as targeted prebunking and assessing AI vulnerabilities. We introduce ConspirED (CONSPIR Evaluation Dataset), which captures the cognitive traits of conspiratorial ideation in multi-senten…

CDC shooter blamed COVID vaccine for depression; union demands statement against misinformation
https://federalnewsnetwork.com/workforce/2025/08/cdc-shooter-blamed-covid-vaccine-for-depression-union-demands-statement-against-misinformation/

Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
Haorui He, Yupeng Li, Bin Benjamin Zhu, Dacheng Wen, Reynold Cheng, Francis C. M. Lau
https://arxiv.org/abs/2508.06059

Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
State-of-the-art fact-checking systems combat misinformation at scale by employing autonomous LLM-based agents to decompose complex claims into smaller sub-claims, verify each sub-claim individually, and aggregate the partial results to produce verdicts with justifications (explanatory rationales for the verdicts). The security of these systems is crucial, as compromised fact-checkers, which tend to be easily underexplored, can amplify misinformation. This work introduces Fact2Fiction, the firs…

I2VWM: Robust Watermarking for Image to Video Generation
Guanjie Wang, Zehua Ma, Han Fang, Weiming Zhang
https://arxiv.org/abs/2509.17773 https://arxiv.org…

I2VWM: Robust Watermarking for Image to Video Generation
The rapid progress of image-guided video generation (I2V) has raised concerns about its potential misuse in misinformation and fraud, underscoring the urgent need for effective digital watermarking. While existing watermarking methods demonstrate robustness within a single modality, they fail to trace source images in I2V settings. To address this gap, we introduce the concept of Robust Diffusion Distance, which measures the temporal persistence of watermark signals in generated videos. Buildin…

Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
https://arxiv.org/abs/2509.13888

Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses risks to public health and trust in medical systems. While machine learning and natural language processing have advanced automated fact-checking, validating biomedical claims remains uniquely challenging due to complex terminology, the need for domain expertise, and the critical importance of grounding in scientific evidence. We introduce CER (Combining Evidence and Reasoning), a novel framework for biomedical f…

A New Dataset and Benchmark for Grounding Multimodal Misinformation
Bingjian Yang, Danni Xu, Kaipeng Niu, Wenxuan Liu, Zheng Wang, Mohan Kankanhalli
https://arxiv.org/abs/2509.08008

A New Dataset and Benchmark for Grounding Multimodal Misinformation
The proliferation of online misinformation videos poses serious societal risks. Current datasets and detection methods primarily target binary classification or single-modality localization based on post-processed data, lacking the interpretability needed to counter persuasive misinformation. In this paper, we introduce the task of Grounding Multimodal Misinformation (GroundMM), which verifies multimodal content and localizes misleading segments across modalities. We present the first real-worl…

Trump's answer to numbers he doesn't like: Change them or throw them away (Washington Post)
https://www.washingtonpost.com/politics/2025/08/14/trump-data-misinformation/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzU1MTQ0MDAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzU2NTI2Mzk5LCJpYXQiOjE3NTUxNDQwMDAsImp0aSI6Ijk5NmY5MTRiLTVkN2EtNGJmMS1iMzY5LTQwOTJjYWY4NTljYSIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9wb2xpdGljcy8yMDI1LzA4LzE0L3RydW1wLWRhdGEtbWlzaW5mb3JtYXRpb24vIn0.TcNvHiGgi4lHtEbtNmQWn8bKCVtXtg-a0vmfEoRQWW4&itid=gfta
http://www.memeorandum.com/250814/p77#a250814p77

"Joe Rogan claims study shows Earth cooling – but report’s authors say he’s wrong"
#Climate #ClimateChange

Experts call on US Health Secretary RFK Jr to resign over misinformation | Health News | Al Jazeera
https://www.aljazeera.com/news/2025/9/4/experts-call-on-us-health-secretary-rfk-jr-to-resign-over-misinformation?traffic_source=rss

Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills
Anku Rani, Valdemar Danry, Paul Pu Liang, Andrew B. Lippman, Pattie Maes
https://arxiv.org/abs/2510.01537

Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills
Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinformation. While interactions with AI have been shown to durably reduce people's beliefs in false information, it is unclear whether these interactions also teach people the skills to discern false information themselves. We conducted a month-long study where 67 participants classified news headline-image pairs as real o…

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
Chong Tian, Qirong Ho, Xiuying Chen
https://arxiv.org/abs/2508.19633 https://

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
Rapid LLM advancements heighten fake news risks by enabling the automatic generation of increasingly sophisticated misinformation. Previous detection methods, including fine-tuned small models or LLM-based detectors, often struggle with its dynamically evolving nature. In this work, we propose a novel framework called the Symbolic Adversarial Learning Framework (SALF), which implements an adversarial training paradigm by an agent symbolic learning optimization process, rather than relying on nu…

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Min-Yen Kan
https://arxiv.org/abs/2510.11423 …

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
Community Notes, the crowd-sourced misinformation governance system on X (formerly Twitter), enables users to flag misleading posts, attach contextual notes, and vote on their helpfulness. However, our analysis of 30.8K health-related notes reveals significant latency, with a median delay of 17.6 hours before the first note receives a helpfulness status. To improve responsiveness during real-world misinformation surges, we propose CrowdNotes+, a unified framework that leverages large language m…

Congressman Raja Krishnamoorthi today reaffirmed the validity of the video showing ICE agents violently detaining individuals in Hoffman Estates,
confirmed that the incident occurred in his district,
and condemned the Trump Administration’s campaign of secrecy, brutality, and misinformation.
https://

Congressman Raja Krishnamoorthi (@congressmanraja.bsky.social)
Despite what some, including at DHS, are claiming, this video isn’t from a year ago in Chicago. It was Friday in Hoffman Estates, in my district, a street I’ve walked myself. It appears to show a child being violently detained by ICE. It’s real, and I’m demanding accountability.

OpenFake: An Open Dataset and Platform Toward Large-Scale Deepfake Detection
Victor Livernoche, Akshatha Arodi, Andreea Musulan, Zachary Yang, Adam Salvail, Ga\'etan Marceau Caron, Jean-Fran\c{c}ois Godbout, Reihaneh Rabbany
https://arxiv.org/abs/2509.09495

OpenFake: An Open Dataset and Platform Toward Large-Scale Deepfake Detection
Deepfakes, synthetic media created using advanced AI techniques, have intensified the spread of misinformation, particularly in politically sensitive contexts. Existing deepfake detection datasets are often limited, relying on outdated generation methods, low realism, or single-face imagery, restricting the effectiveness for general synthetic image detection. By analyzing social media posts, we identify multiple modalities through which deepfakes propagate misinformation. Furthermore, our human…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verifi...
Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang
https://arxiv.org/abs/2508.03420

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
The proliferation of misinformation across diverse social media platforms has drawn significant attention from both academic and industrial communities due to its detrimental effects. Accordingly, automatically distinguishing misinformation, dubbed as Misinformation Detection (MD), has become an increasingly active research topic. The mainstream methods formulate MD as a static learning paradigm, which learns the mapping between the content, links, and propagation of news articles and the corre…

Network Prebunking Problem: Optimizing Prebunking Targets to Suppress the Spread of Misinformation in Social Networks
Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida
https://arxiv.org/abs/2508.01124

Network Prebunking Problem: Optimizing Prebunking Targets to Suppress the Spread of Misinformation in Social Networks
As a countermeasure against misinformation that undermines the healthy use of social media, a preventive intervention known as prebunking has recently attracted attention in the field of psychology. Prebunking aims to strengthen individuals' cognitive resistance to misinformation by presenting weakened doses of misinformation or by teaching common manipulation techniques before they encounter actual misinformation. Despite the growing body of evidence supporting its effectiveness in reducing su…

As Sora clips go viral, users express awe and delight as others warn about IP theft and that its Cameos could lead to new kinds of misinformation and scams (New York Times)
https://www.nytimes.com/2025/10/02/technology/openai-sora-video-app.html

OpenAI’s Sora Video App Is Jaw-Dropping (for Better and Worse)
Sora, OpenAI’s new video-generating app, is really a social network in disguise that can bring creative A.I. to the masses — and its problems, too.

"Trump reports distort science to justify rollback of key climate protections, experts warn"
#US #USA #America #Climate

Experts slam Trump climate reports for errors and misinformation
From sea ice mix-ups to wildfire distortions, scientists say the reports misled on climate dangers.

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales
Herun Wan, Jiaying Wu, Minnan Luo, Xiangzheng Kong, Zihan Ma, Zhi Zeng
https://arxiv.org/abs/2508.10444

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales
Generating textual rationales from large vision-language models (LVLMs) to support trainable multimodal misinformation detectors has emerged as a promising paradigm. However, its effectiveness is fundamentally limited by three core challenges: (i) insufficient diversity in generated rationales, (ii) factual inaccuracies due to hallucinations, and (iii) irrelevant or conflicting content that introduces noise. We introduce DiFaR, a detector-agnostic framework that produces diverse, factual, and r…

A Georgia man who had blamed the COVID-19 vaccine for making him depressed and suicidal
has been identified as the shooterwho opened fire late Friday on the U.S. Centers for Disease Control and Prevention headquarters, killing a police officer.
The 30-year-old suspect, who died during the incident,
had also tried to get into the CDC’s headquarters in Atlanta but was stopped by guards before driving to a pharmacy across the street and opening fire.
The man, identified a…

Union wants statement against COVID vaccine misinformation after CDC shooting
A Georgia man who had blamed the COVID-19 vaccine for making him depressed and suicidal has been identified as the shooter who opened fire late Friday on the U.S. Centers for Disease Control and Prevention headquarters, killing a police officer. The 30-year-old suspect, who died during the incident, had also tried to get into the CDC’s headquarters in Atlanta but was stopped by guards before driving to a pharmacy across the street and opening fire, a law enforcement official told The Associat…

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
Ruiling Guo, Xinwei Yang, Chen Huang, Tong Zhang, Yong Hu
https://arxiv.org/abs/2509.03957

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
The effectiveness of large language models (LLMs) to fact-check misinformation remains uncertain, despite their growing use. To this end, we present CANDY, a benchmark designed to systematically evaluate the capabilities and limitations of LLMs in fact-checking Chinese misinformation. Specifically, we curate a carefully annotated dataset of ~20k instances. Our analysis shows that current LLMs exhibit limitations in generating accurate fact-checking conclusions, even when enhanced with chain-of-…

Modeling Human Responses to Multimodal AI Content
Zhiqi Shen, Shaojing Fan, Danni Xu, Terence Sim, Mohan Kankanhalli
https://arxiv.org/abs/2508.10769 https://

Modeling Human Responses to Multimodal AI Content
As AI-generated content becomes widespread, so does the risk of misinformation. While prior research has primarily focused on identifying whether content is authentic, much less is known about how such content influences human perception and behavior. In domains like trading or the stock market, predicting how people react (e.g., whether a news post will go viral), can be more critical than verifying its factual accuracy. To address this, we take a human-centered approach and introduce the MhAI…

CDC shooter blamed COVID vaccine for depression; union demands statement against misinformation (Susan Haigh/Associated Press)
https://apnews.com/article/cdc-suspect-covid-vaccine-georgia-officer-dead-0c6018d2f7caf7a2702bc09f9f3568ba
http://www.memeorandum.com/250811/p2#a250811p2

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
Christian Roth, Rahmin Bender-Salazar, Breanne Pitt
https://arxiv.org/abs/2508.11059

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues. IDNs enable learners to navigate nonlinear, interactive stories, fostering deeper un…

Diversity Boosts AI-Generated Text Detection
Advik Raj Basani, Pin-Yu Chen
https://arxiv.org/abs/2509.18880 https://arxiv.org/pdf/2509.18880

Debra Houry, the CDC’s former chief medical officer,
offered insight into health secretary JFK Jr, who has been criticized as shunning expertise
in favor of spreading misinformation, denigrating science, and dismantling institutions crucial for Americans’ health.
Houry’s account adds to depictions from former CDC director Susan Monarez of a distant and at times explosively angry leader of the US public health system
– leading Houry to call for Kennedy’s resignation.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, Nishant Jain
https://arxiv.org/abs/2508.16223

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
With the rapid evolution of technology and the Internet, the proliferation of fake news on social media has become a critical issue, leading to widespread misinformation that can cause societal harm. Traditional fact checking methods are often too slow to prevent the dissemination of false information. Therefore, the need for rapid, automated detection of fake news is paramount. We introduce DaCFake, a novel fake news detection model using a divide and conquer strategy that combines content and…

Did a South Korean study really claim that COVID-19 vaccines cause cancer? No it did not, but social media ‘influencers’ misused its results to spread misinformation far and wide.| Health News | Al Jazeera
https://www.aljazeera.com/features/2025/10/11/did-a-south-korean-study-really-claim-that-covid-19-vaccines-cause-cancer?traffic_source=rss

Measuring Epistemic Humility in Multimodal Large Language Models
Bingkui Tong, Jiaer Xia, Sifeng Shang, Kaiyang Zhou
https://arxiv.org/abs/2509.09658 https://

Measuring Epistemic Humility in Multimodal Large Language Models
Hallucinations in multimodal large language models (MLLMs) -- where the model generates content inconsistent with the input image -- pose significant risks in real-world applications, from misinformation in visual question answering to unsafe errors in decision-making. Existing benchmarks primarily test recognition accuracy, i.e., evaluating whether models can select the correct answer among distractors. This overlooks an equally critical capability for trustworthy AI: recognizing when none of …

Crosslisted article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation wit...
Jun Rong Brian Chong, Yixuan Tang, Anthony K. H. Tung

RAVE: Retrieval and Scoring Aware Verifiable Claim Detection
Yufeng Li, Arkaitz Zubiaga
https://arxiv.org/abs/2509.15793 https://arxiv.org/pdf/2509.15793…

RAVE: Retrieval and Scoring Aware Verifiable Claim Detection
The rapid spread of misinformation on social media underscores the need for scalable fact-checking tools. A key step is claim detection, which identifies statements that can be objectively verified. Prior approaches often rely on linguistic cues or claim check-worthiness, but these struggle with vague political discourse and diverse formats such as tweets. We present RAVE (Retrieval and Scoring Aware Verifiable Claim Detection), a framework that combines evidence retrieval with structured signa…

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao
https://arxiv.org/abs/2509.15550

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
The rapid advancement of large language models (LLMs) has blurred the line between AI-generated and human-written text. This progress brings societal risks such as misinformation, authorship ambiguity, and intellectual property concerns, highlighting the urgent need for reliable AI-generated text detection methods. However, recent advances in generative language modeling have resulted in significant overlap between the feature distributions of human-written and AI-generated text, blurring class…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao

Combining Evidence and Reasoning for Biomedical Fact-Checking
Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
https://arxiv.org/abs/2509.13879

Combining Evidence and Reasoning for Biomedical Fact-Checking
Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses risks to public health and trust in medical sys- tems. While machine learning and natural language processing have advanced automated fact-checking, validating biomedical claims remains uniquely challenging due to complex terminol- ogy, the need for domain expertise, and the critical importance of grounding in scientific evidence. We introduce CER (Combin- ing Evidence and Reasoning), a novel framework for biomed…