Tootfinder

Major Indian newsrooms aired misinformation during the conflict with Pakistan in May, saying Pakistani cities had been destroyed and airing unrelated visuals (Karishma Mehrotra/Washington Post)
https://www.washingtonpost.com/world/2025/

How misinformation overtook Indian newsrooms amid conflict with Pakistan
Journalists from some of India’s largest news networks spoke to The Post about why falsehoods filled the airwaves during a crucial and dangerous moment.

Wow, this is a first. A site I actually want to see (archive.ph) is using an IP address on the @… DROP list.
(no, I do NOT think that’s a Spamhaus problem. They are doing their job.) https://

An analysis of the top 100 trending TikTok videos under #mentalhealthtips finds 52 contain misinformation, including misused language and quick-fix methods (The Guardian)

artificial intelligence “enables the cost of misinformation to come close to zero.” 
And it is starts with flooding Canadian city council mailboxes with climate misinformation https://www.nationalobserver.com/2025/05/2

Trump really seems to prefer misinformation to actual facts. Why else would he have abruptly cancelled thousands of research grants (throwing perhaps 10,000 scientists and their families on the streets).
https://www.

Here Are the Nearly 2,500 Medical Research Grants Canceled or Delayed by Trump
Some cuts have been starkly visible, but the country’s medical grant-making machinery has also radically transformed outside the public eye.

AI cannot fact check
https://www.france24.com/en/live-news/20250602-hey-chatbot-is-this-true-ai-factchecks-sow-misinformation

Den här artikeln berör annat än hälsofrågor men problemet är precis det samma. Använd inte AI för att få svar på mer kontroversiella frågor där du inte kan något sen tidigare. För allt för ofta så ger den dig påhittade svar samtidigt som det låter väldigt självsäkert.
AI swallows misinformation and spits it back at us: ‘It’s optimized to give useful information, but not for it to be correct’

AI swallows misinformation and spits it back at us: ‘It’s optimized to give useful information, but not for it to be correct’
ChatGPT and Grok absorb fake news and regurgitate it when asked. Due to their design, these models and their competitors are highly susceptible to disinformation

"A Weaponized AI Chatbot Is Flooding Canadian City Councils with Climate Misinformation"
#Canada #Climate #ClimateChange

A Weaponized AI Chatbot Is Flooding Canadian City Councils with Climate Misinformation
Thousands of councillors in more than 500 municipalities have received AI emails from a group called KICLEI, a name that mimics the international network ICLEI.

Google's New AI Tool Generates Convincing Deepfakes of Riots, Conflict, and Election Fraud (Time)
https://time.com/7290050/veo-3-google-misinformation-deepfake/
http://www.memeorandum.com/250603/p107#a250603p107

excellent analysis of covid state of play
From Julia Doubleday.
"Each time a new wave crops up, the media scrambles to let the public know that COVID is spreading “again” ... But each time, it fails to inform the public that nearly half of COVID cases are asymptomatic, that COVID looks different in different patients, that vaccines do not prevent infections, that rapid tests have high false negative rates, and that COVID is fully airborne.
"Taken together, the virus I’m describing is much more difficult to control than the one the press presents. The press frames the virus as something that can be halted by familiarizing yourself with the symptoms, staying home once you feel sick and test positive, and avoided altogether by simply getting vaccinated or keeping ones’ distance from sick people. ...
"The misinformation that reigns in liberal spaces is not the result of accidental miscommunication. People don’t know that the virus is asymptomatic 40% of the time because there is simply no universe where that virus is controllable without an elimination strategy, or a day-to-day mitigation strategy."
#covid #misinformation #denial #CovidIsAirborne

Important thread on BlueSky from Elliot Higgins on misinformation.
#misinformation…

Describing the email:
“It doesn’t sound like normal government communications, official communications. It sounds like – you know – partisan.”
“It’s disturbing to see Trump hijack a public institution to push blatant misinformation.”
#Sad (a word I heard someone use at various times) - that they have so little honesty and integrity. I

Describing the email:
“It doesn’t sound like normal government communications, official communications. It sounds like – you know – partisan.”
“It’s disturbing to see Trump hijack a public institution to push blatant misinformation.”
#Sad (a word I heard someone use at various times) - that they have so little honesty and integrity. I

This https://arxiv.org/abs/2502.11753 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
Misinformation can be countered with fact-checking, but the process is costly and slow. Identifying checkworthy claims is the first step, where automation can help scale fact-checkers' efforts. However, detection methods struggle with content that is (1) multimodal, (2) from diverse domains, and (3) synthetic. We introduce HintsOfTruth, a public dataset for multimodal checkworthiness detection with 27K real-world and synthetic image/claim pairs. The mix of real and synthetic data makes this dat…

An analysis of the top 100 trending TikTok videos under #mentalhealthtips finds 52 contain misinformation, including misused language and quick-fix methods (The Guardian)

"Climate misinformation turning crisis into catastrophe, report says"
https://www.theguardian.com/environment/2025/jun/19/climate-misinformation-turning-crisis-into-catastrophe-ipie-report?

Mapping the interaction between science and misinformation in COVID-19 tweets
Lucila G. Alvarez-Zuzek, Juan P. Bascur, Anna Bertani, Riccardo Gallotti, Vincent A. Traag
https://arxiv.org/abs/2507.01481

Mapping the interaction between science and misinformation in COVID-19 tweets
During the COVID-19 pandemic, scientific understanding related to the topic evolved rapidly. Along with scientific information being discussed widely, a large circulation of false information, labelled an infodemic by the WHO, emerged. Here, we study the interaction between misinformation and science on Twitter (now X) during the COVID-19 pandemic. We built a comprehensive database of $\sim$407M COVID-19 related tweets and classified the reliability of URLs in the tweets based on Media Bias/Fac…

Context, Credibility, and Control: User Reflections on AI Assisted Misinformation Tools
Varun Sangwan, Heidi Makitalo
https://arxiv.org/abs/2506.22940 http…

Context, Credibility, and Control: User Reflections on AI Assisted Misinformation Tools
This paper investigates how collaborative AI systems can enhance user agency in identifying and evaluating misinformation on social media platforms. Traditional methods, such as personal judgment or basic fact-checking, often fall short when faced with emotionally charged or context-deficient content. To address this, we designed and evaluated an interactive interface that integrates collaborative AI features, including real-time explanations, source aggregation, and debate-style interaction. T…

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Lorraine Saju, Arnim Bleier, Jana Lasser, Claudia Wagner
https://arxiv.org/abs/2506.03655

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
The proliferation of misinformation necessitates scalable, automated fact-checking solutions. Yet, current benchmarks often overlook multilingual and topical diversity. This paper introduces a novel, dynamically extensible data set that includes 61,514 claims in multiple languages and topics, extending existing datasets up to 2024. Through a comprehensive evaluation of five prominent Large Language Models (LLMs), including GPT-4o, GPT-3.5 Turbo, LLaMA 3.1, and Mixtral 8x7B, we identify signific…

Learn not to be horrified by mere "AI"
Learn to be horrified by inhumanity, oppression, commoditization of labor, deskilling people, disrupting lives, acquiring control of society and culture, of misinformation, of uncaring bullshit.

Me when I spread misinformation on the internet :3c

(1/2) Can you trust what you hear? 🎧 Episode 344 of the EdTech Situation Room (from 15 Jan 2025) explores AI voice tech, misinformation, and media ethics in the digital age.
on Substack:
https://open.substack.com/p…

Obviously.
https://newsie.social/@infodocket/114613809101339221

Of course they would. Just when we need it most.https://www.nytimes.com/2025/05/15/business/trump-online-misinformation-grants.html?smid=url-share

This https://arxiv.org/abs/2505.23449 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of MLLM for detecting out-of-context (OOC) misinformation, our empirical analysis reveals two persisting challenges of this paradigm. Evaluating the representative GPT-4o model on direct reasoning and evidence augmented reasoning, results indicate that MLLM struggle to capture the deeper relationships-specifically, cases…

"Climate misinformation turning crisis into catastrophe, report says"
#Climate #ClimateChange

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
Hayoung Jung, Shravika Mittal, Ananya Aatreya, Navreet Kaur, Munmun De Choudhury, Tanushree Mitra
https://arxiv.org/abs/2506.00308

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
Understanding the prevalence of misinformation in health topics online can inform public health policies and interventions. However, measuring such misinformation at scale remains a challenge, particularly for high-stakes but understudied topics like opioid-use disorder (OUD)--a leading cause of death in the U.S. We present the first large-scale study of OUD-related myths on YouTube, a widely-used platform for health information. With clinical experts, we validate 8 pervasive myths and release …

This https://arxiv.org/abs/2502.20491 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Examining Algorithmic Curation on Social Media: An Empirical Audit of Reddit's r/popular Feed
Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated feeds has concealed what factors influence the presentation of content on social media feeds and how that presentation affects user behavior. This lack of transparency can be detrimental to users, from reducing users' agency over their content consumption to the propagation of misinformation and toxic content. To uncover…

#podcast recc: Episode 308: The Campus Free Speech Panic: Who’s Fueling the Misinformation Machine? - Pocket Casts https://pocketcasts.com/podcasts/febe8

Episode 308: The Campus Free Speech Panic: Who’s Fueling the Misinformation Machine?

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Ioan-Paul Ciobanu, Andrei-Iulian Hiji, Nicolae-Catalin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu
https://arxiv.org/abs/2506.00462

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Recent advances in audio generation led to an increasing number of deepfakes, making the general public more vulnerable to financial scams, identity theft, and misinformation. Audio deepfake detectors promise to alleviate this issue, with many recent studies reporting accuracy rates close to 99%. However, these methods are typically tested in an in-domain setup, where the deepfake samples from the training and test sets are produced by the same generative models. To this end, we introduce XMAD-…

Synopsis: Secure and private trend inference from encrypted semantic embeddings
Madelyne Xiao, Palak Jain, Micha Gorelick, Sarah Scheffler
https://arxiv.org/abs/2505.23880

Synopsis: Secure and private trend inference from encrypted semantic embeddings
WhatsApp and many other commonly used communication platforms guarantee end-to-end encryption (E2EE), which requires that service providers lack the cryptographic keys to read communications on their own platforms. WhatsApp's privacy-preserving design makes it difficult to study important phenomena like the spread of misinformation or political messaging, as users have a clear expectation and desire for privacy and little incentive to forfeit that privacy in the process of handing over raw data…

California Gov. Gavin Newsom is suing Fox News for defamation,
alleging that the news outlet intentionally manipulated a video
to give the appearance that the governor lied about a phone call with Donald Trump.
The governor’s demand for $787 million in punitive damages escalates his aggressive effort to challenge misinformation.

Newsom sues Fox News for defamation over story about call with Trump
California Gov. Gavin Newsom sues Fox News for defamation over story on call with President Trump.

Veracity: An Open-Source AI Fact-Checking System
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-Fran\c{c}ois Godbout, Reihaneh Rabbany, Kellin Pelrine
https://arxiv.org/abs/2506.15794

Veracity: An Open-Source AI Fact-Checking System
The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI system designed to empower individuals to combat misinformation through transparent and accessible fact-checking. Veracity leverages the synergy between Large Language Models (LLMs) and web retrieval agents to analyze user-submitted claims and provide grounded veracity assessments with intuitive explanations. Key feat…

FACT CHECK: Donald Trump presented South African president Cyril Ramaphosa with a collection of misinformation https://www.news24.com/southafrica/debunking/donald-trump-confronted-cyril-ramaphosa-with-a-collecti…

Social Media Can Reduce Misinformation When Public Scrutiny is High
Gavin Wang, Haofei Qin, Xiao Tang, Lynn Wu
https://arxiv.org/abs/2506.16355 https://

Social Media Can Reduce Misinformation When Public Scrutiny is High
Misinformation poses a growing global threat to institutional trust, democratic stability, and public decision-making. While prior research has often portrayed social media as a channel for spreading falsehoods, less is known about the conditions under which it may instead constrain misinformation by enhancing transparency and accountability. Here we show this dual potential in the context of local governments' GDP reporting in China, where data falsifications are widespread. Analyzing official…

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
Yuan Gan, Jiaxu Miao, Yunze Wang, Yi Yang
https://arxiv.org/abs/2506.01591

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
Advances in talking-head animation based on Latent Diffusion Models (LDM) enable the creation of highly realistic, synchronized videos. These fabricated videos are indistinguishable from real ones, increasing the risk of potential misuse for scams, political manipulation, and misinformation. Hence, addressing these ethical concerns has become a pressing issue in AI security. Recent proactive defense studies focused on countering LDM-based models by adding perturbations to portraits. However, th…

This https://arxiv.org/abs/2412.18148 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
Social media platforms are experiencing a growing presence of AI-Generated Texts (AIGTs). However, the misuse of AIGTs could have profound implications for public opinion, such as spreading misinformation and manipulating narratives. Despite its importance, it remains unclear how prevalent AIGTs are on social media. To address this gap, this paper aims to quantify and monitor the AIGTs on online social media platforms. We first collect a dataset (SM-D) with around 2.4M posts from 3 major social…

AI-generated images of fake, otherworldly-looking houseplants are proliferating online and misleading consumers, as AI slop extends to plant care advice (Nicole Froio/The Verge)
https://www.theverge.com/ai-artificial-intellige…

AI is ruining houseplant communities online
AI-generated images and chatbot misinformation plague plant collectors.

The Liberal Misinformation Bubble About Youth Gender Medicine (Helen Lewis/The Atlantic)
https://www.theatlantic.com/ideas/archive/2025/06/transgender-youth-skrmetti/683350/
http://www.memeorandum.com/250629/p90#a250629p90

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Fanxiao Li, Jiaying Wu, Canyuan He, Wei Zhou
https://arxiv.org/abs/2505.23449

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of MLLM for detecting out-of-context (OOC) misinformation, our empirical analysis reveals two persisting challenges of this paradigm. Evaluating the representative GPT-4o model on direct reasoning and evidence augmented reasoning, results indicate that MLLM struggle to capture the deeper relationships-specifically, cases…

In the digital age, misinformation spreads rapidly, making it increasingly difficult to ensure the integrity of information. AI presents new opportunities to support fact-checking and news classification. Join Giovanna Monti and Lucian Precup as they share insights from their work developing an AI-driven platform integrating search capabilities, an intelligent assistant and a RAG system.
Learn more:

Modeling the Impact of Misinformation Dynamics on Antimicrobial Resistance
Laurance Fakih, Andrei Halanay
https://arxiv.org/abs/2505.21540 https://

Modeling the Impact of Misinformation Dynamics on Antimicrobial Resistance
Antimicrobial Resistance (RAM) poses a significant threat to global public health, making important medicines less useful. While the medical and biological reasons behind RAM are well studied, we still don't know enough about how false health information affects people's actions, which can speed up RAM. This study presents a new mathematical model to investigate the complex interplay between the spread of misinformation and the dynamics of RAM. We adapt a multi-strain fake news model, including…

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation
David Khachaturov, Roxanne Schnyder, Robert Mullins
https://arxiv.org/abs/2506.12814

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation
This position paper argues that governments should mandate a three-tier anonymity framework on social-media platforms as a reactionary measure prompted by the ease-of-production of deepfakes and large-language-model-driven misinformation. The tiers are determined by a given user's $\textit{reach score}$: Tier 1 permits full pseudonymity for smaller accounts, preserving everyday privacy; Tier 2 requires private legal-identity linkage for accounts with some influence, reinstating real-world accou…

"Musk and his allies systematically built a false narrative of widespread fraud at the Social Security Administration based on misinterpreted data, using their claims to justify an aggressive effort to gain access to personal information on millions of Americans."
Gift link.

Inside DOGE’s Chaotic Takeover of Social Security
The drama offers a case study in how Elon Musk’s team sought to run a critical government agency through misinformation and social media blasts — and how longtime employees responded.

Not being on Facebook to see the daily misinformation-fuelled drama unfold in town is a blessing… and a curse, a little… example eleventy-million-and-one.
"When a bunch of American Naval personnel unloaded U.S. Coast Guard vessels at Clutesi Haven Marina in Port Alberni on Monday, social media sites blew up with rumours about why they were on Vancouver Island and why there were armed vessels making their way down the Alberni Inlet.”
😅😂
#SocialMedia #RumourMill #SmallTown #PortAlberni
https://www.albernivalleynews.com/local-news/us-coast-guard-vessels-cause-concern-at-port-alberni-marina-8098472

FACT CHECK: Donald Trump presented South African president Cyril Ramaphosa with a collection of misinformation https://www.news24.com/southafrica/debunking/donald-trump-confronted-cyril-ramaphosa-with-a-collecti…

[PODCAST] Episode 308: The Campus Free Speech Panic: Who’s Fueling the Misinformation Machine?
https://pca.st/episode/a003e200-73bf-405f-9036-f96590459999
“Bradford Vivian is at Penn State. His latest book is Campus Misinformation: The Real Threat to Free Speech in Am…

Once Champions of Fringe Causes, Now in a ‘Trap of Their Own Making’
Top leaders at the Justice Department and the F.B.I. are struggling to fulfill Trump campaign promises often rooted in misinformation and conspiracy theories.
h…

Law Enforcement Officials Struggle to Fulfill Trump Promises Rooted in Conspiracy Theories
Top leaders at the Justice Department and the F.B.I. are struggling to fulfill Trump campaign promises often rooted in misinformation and conspiracy theories.

140 media organizations call on Israel to LIFT its BAN on international journalists entering Gaza.
There is NO excuse for not allowing international media to enter #Gaza.
"Absolutely unprecedented in modern warfare". #PressFreedom

Press freedom groups demand open access to Gaza – DW – 06/08/2025
More than 140 media organizations are calling on Israel to lift its ban on international journalists entering Gaza. The lack of foreign journalists allows misinformation to flourish, said Jodie Ginsberg, CEO of the Committee to Protect Journalists and one of the signatories of the appeal.

How online misinformation works: a costly signalling perspective
Neri Marsili
https://arxiv.org/abs/2506.17158 https://arxiv.org/pdf/…

How online misinformation works: a costly signalling perspective
This chapter explores how online communication, particularly on social media, reshapes the reputational incentives that motivate speakers to communicate truthfully. Drawing on costly signalling theory (CST), it examines how online contexts alter the social mechanisms that sustain honest communication. Key characteristics of online spaces are identified and discussed, namely (i) the presence of novel speech acts like reposting, (ii) the gamification of communication, (iii) information overload, …

"Weatherwatch: The Met Office fights back against climate misinformation"
#UK #UnitedKingdom #Climate #ClimateChange

This https://arxiv.org/abs/2410.19064 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
With the growing spread of misinformation online, understanding how true news evolves into fake news has become crucial for early detection and prevention. However, previous research has often assumed fake news inherently exists rather than exploring its gradual formation. To address this gap, we propose FUSE (Fake news evolUtion Simulation framEwork), a novel Large Language Model (LLM)-based simulation approach explicitly focusing on fake news evolution from real news. Our framework model a so…

This https://arxiv.org/abs/2410.19202 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Towards Generalizable AI-Assisted Misinformation Inoculation: Protecting Confidence Against False Election Narratives
We present a generalizable AI-assisted framework for rapidly generating effective "prebunking" interventions against misinformation. Like mRNA vaccine platforms, our approach uses a stable template structure that can be quickly adapted to counter emerging false narratives. In a preregistered two-wave experiment with 4,293 U.S. registered voters, we test this framework against politically-charged election misinformation -- one of the most challenging domains for misinformation intervention. Our …

The depth of the damage to the USA by the Republican party and this administration is catastrophic, especially in the long term.
Hundreds or thousands of incredibly damaging actions have been taken this year with seeming dozens more every week.
It is impossible to keep track of the destruction being done to the rule of law, our economy, human rights, our health...

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
Yuhui Shi, Yehan Yang, Qiang Sheng, Hao Mi, Beizhe Hu, Chaoxi Xu, Juan Cao
https://arxiv.org/abs/2506.15683

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
With the popularity of large language models (LLMs), undesirable societal problems like misinformation production and academic misconduct have been more severe, making LLM-generated text detection now of unprecedented importance. Although existing methods have made remarkable progress, a new challenge posed by text from privately tuned LLMs remains underexplored. Users could easily possess private LLMs by fine-tuning an open-source one with private corpora, resulting in a significant performanc…

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval
Tam Trinh, Manh Nguyen, Truong-Son Hy
https://arxiv.org/abs/2506.17878 …

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval
The rapid spread of misinformation in the digital era poses significant challenges to public discourse, necessitating robust and scalable fact-checking solutions. Traditional human-led fact-checking methods, while credible, struggle with the volume and velocity of online content, prompting the integration of automated systems powered by Large Language Models (LLMs). However, existing automated approaches often face limitations, such as handling complex claims, ensuring source credibility, and m…

`Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being
Sharifa Sultana, Hafsah Mahzabin Chowdhury, Zinnat Sultana, Nervo Verdezoto
https://arxiv.org/abs/2506.12357

`Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being
Reproductive well-being education in the Global South is often challenged as many communities perceive many of its contents as misinformation, misconceptions, and language-inappropriate. Our ten-month-long ethnographic study (n=41) investigated the impact of sociocultural landscape, cultural beliefs, and healthcare infrastructure on Bangladeshi people's access to quality reproductive healthcare and set four design goals: combating misinformation, including culturally appropriate language, profe…

Misinformation by Omission: The Need for More Environmental Transparency in AI
Sasha Luccioni, Boris Gamazaychikov, Theo Alves da Costa, Emma Strubell
https://arxiv.org/abs/2506.15572

Misinformation by Omission: The Need for More Environmental Transparency in AI
In recent years, Artificial Intelligence (AI) models have grown in size and complexity, driving greater demand for computational power and natural resources. In parallel to this trend, transparency around the costs and impacts of these models has decreased, meaning that the users of these technologies have little to no information about their resource demands and subsequent impacts on the environment. Despite this dearth of adequate data, escalating demand for figures quantifying AI's environme…

So far the Social Security agency’s core functions — like sending monthly checks to 74 million Americans — have remained largely intact.
But under pressure from Musk’s team, nearly half of the Social Security Administration’s 140 senior executives, and thousands of employees overall, have taken buyouts or retired.
As many as 12 percent of staff members, out of a bureaucracy that numbered around 57,000 people, are expected to depart their jobs as part of DOGE’s cost-cutting plan.

Inside DOGE’s Chaotic Takeover of Social Security
The drama offers a case study in how Elon Musk’s team sought to run a critical government agency through misinformation and social media blasts — and how longtime employees responded.

Kennedy's new CDC panel includes members who have criticized vaccines and spread misinformation (Mike Stobbe/Associated Press)
https://apnews.com/article/cdc-acip-vaccine-committee-9f58e1f004075b081718ff078de88d76
http://www.memeorandum.com/250611/p173#a250611p173

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs
Van-Hoang Phan, Long-Khanh Pham, Dang Vu, Anh-Duy Tran, Minh-Son Dao
https://arxiv.org/abs/2506.20944

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs
The rapid spread of misinformation in mobile and wireless networks presents critical security challenges. This study introduces a training-free, retrieval-based multimodal fact verification system that leverages pretrained vision-language models and large language models for credibility assessment. By dynamically retrieving and cross-referencing trusted data sources, our approach mitigates vulnerabilities of traditional training-based models, such as adversarial attacks and data poisoning. Addi…

The Compositional Architecture of Regret in Large Language Models
Xiangxiang Cui, Shu Yang, Tianjin Huang, Wanyu Lin, Lijie Hu, Di Wang
https://arxiv.org/abs/2506.15617

The Compositional Architecture of Regret in Large Language Models
Regret in Large Language Models refers to their explicit regret expression when presented with evidence contradicting their previously generated misinformation. Studying the regret mechanism is crucial for enhancing model reliability and helps in revealing how cognition is coded in neural networks. To understand this mechanism, we need to first identify regret expressions in model outputs, then analyze their internal representation. This analysis requires examining the model's hidden states, wh…

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor
Edoardo Di Paolo, Fabio De Gaspari, Angelo Spognardi
https://arxiv.org/abs/2506.20503

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor
Online Social Networks (OSNs) are a cornerstone in modern society, serving as platforms for diverse content consumption by millions of users each day. However, the challenge of ensuring the accuracy of information shared on these platforms remains significant, especially with the widespread dissemination of disinformation. Social bots -- automated accounts designed to mimic human behavior, frequently spreading misinformation -- represent one of the critical problems of OSNs. The advent of Large…

The #ClimateCrisis is fueled by #disinformation, aka #lies. (And the liars have become more sophisticated since the #TobaccoIndustry

The #ClimateCrisis is fueled by #disinformation, aka #lies. (And the liars have become more sophisticated since the #TobaccoIndustry

Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks
Rafa\"el Nouailles (GdR)
https://arxiv.org/abs/2506.10029

Evaluation empirique de la sécurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vulnérabilités par expérimentations de jailbreaks
Large Language models (LLMs) are transforming digital usage, particularly in text generation, image creation, information retrieval and code development. ChatGPT, launched by OpenAI in November 2022, quickly became a reference, prompting the emergence of competitors such as Google's Gemini. However, these technological advances raise new cybersecurity challenges, including prompt injection attacks, the circumvention of regulatory measures (jailbreaking), the spread of misinformation (hallucinat…

A Survey on False Information Detection: From A Perspective of Propagation on Social Networks
Kun Xie, Sibo Wang
https://arxiv.org/abs/2506.18052 https://

A Survey on False Information Detection: From A Perspective of Propagation on Social Networks
The proliferation of false information in the digital age has become a pressing concern, necessitating the development of effective and robust detection methods. This paper offers a comprehensive review of existing false information detection techniques, approached from a novel perspective that emphasizes the propagation characteristics of misinformation. We introduce a new taxonomy that categorizes these methods into homogeneous and heterogeneous propagation-based approaches, providing a deepe…

Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
Tomas Peterka, Matyas Bohacek
https://arxiv.org/abs/2506.09847 https://

Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
Out-of-context and misattributed imagery is the leading form of media manipulation in today's misinformation and disinformation landscape. The existing methods attempting to detect this practice often only consider whether the semantics of the imagery corresponds to the text narrative, missing manipulation so long as the depicted objects or scenes somewhat correspond to the narrative at hand. To tackle this, we introduce News Media Provenance Dataset, a dataset of news articles with provenance-…

Julia Doubleday on the gamble that covid would be harmless to children
"It’s worth noting that at the time Kulldorff and the rest of the GBD crew were proclaiming COVID’s harmlessness to kids, they couldn’t possibly have had enough information to determine the veracity of their own claims. Viruses like the chickenpox, EBV, HIV, HPV, and HSV often present with mild initial infections but may cause major damage years later. We now know COVID can as well.
"For so-called experts to run with an assumption that an initially mild-presenting acute infection would be long-term harmless was just that; an assumption. They were willing to gamble the health of a generation of children on a guess in order to go “back to normal” because that’s what the oligarchy clamored for. Because it costs money to shut the world economy down. Because people who mattered were angry. Because children aren’t people who matter."
(GBD = Great Barrington Declaration, a bit of 2020 propaganda including the unfounded supposition that everyone who caught covid would be immune forever after)
Overall another excellent pointy article!
#children #covid #LongCovid #CovidIsntOver #GreatBarringtonDeclaration #misinformation

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- A Guide to Misinformation Detection Data and Evaluation
Thibault, Tian, Peloquin-Skulski, Curtis, Zhou, Laflamme, Guan, Rabbany, Godbout, Pelrine

Discovering Coordinated Processes From Social Online Networks
Anna Kalenkova, Lewis Mitchell, Ethan Johnson
https://arxiv.org/abs/2506.12988 https://

Discovering Coordinated Processes From Social Online Networks
The rapid growth of social media presents a unique opportunity to study coordinated agent behavior in an unfiltered environment. Online processes often exhibit complex structures that reflect the nature of the user behavior, whether it is authentic and genuine, or part of a coordinated effort by malicious agents to spread misinformation and disinformation. Detection of AI-generated content can be extremely challenging due to the high quality of large language model-generated text. Therefore, ap…

DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
Marcel Klemt, Carlotta Segna, Anna Rohrbach
https://arxiv.org/abs/2506.05851 https://…

DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
Generative AI advances rapidly, allowing the creation of very realistic manipulated video and audio. This progress presents a significant security and ethical threat, as malicious users can exploit DeepFake techniques to spread misinformation. Recent DeepFake detection approaches explore the multimodal (audio-video) threat scenario. In particular, there is a lack of reproducibility and critical issues with existing datasets - such as the recently uncovered silence shortcut in the widely used Fa…

Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Yueting Han, Paolo Turrini, Marya Bazzi, Giulia Andrighetto, Eugenia Polizzi, Manlio De Domenico
https://arxiv.org/abs/2506.06106

Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinformation pervades online platforms, users seek credible sources, while news outlets compete to attract and retain their attention. Here we measure the co-evolution of online "engagement" with (mis)information and its "visibility", where engagement corresponds to user interactions on social media, and visibility to fluct…