WhatsApp groups have become a hotbed for the propagation of harmful content including misinformation, hate speech, polarizing content, and rumors, especially in Global South countries. Given the platform's end-to-end encryption, moderation ...

Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is X/Twitter's Community Notes (previously known as "Birdwatch"). Community Notes ...

While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such NLP work due to poor alignment with fact-checker practices, values, and ...

Verifying fact-checking claims poses a significant challenge, even for humans. Recent approaches have demonstrated that decomposing claims into relevant questions to gather evidence enhances the efficiency of the fact-checking process. In this paper, we ...

The scale and dynamic nature of the Web makes real-time detection of misinformation an extremely difficult task. Prior research mostly focused on offline (retrospective) detection of stories or claims using linguistic features of the content, flagging by ...

With the growth of misinformation on the web, automated fact checking has garnered immense interest for detecting growing misinformation and disinformation. Current systems have made significant advancements in handling synthetic claims sourced from ...

Large Language Models (LLM) often produce text with incorrect facts and hallucinations. To address this issue, we developed a fact-checking system Truth-O-Meter¹² which verifies LLM results on the Internet and other sources of information to detect wrong ...

Diaspora communities are disproportionately impacted by off-the-radar misinformation and often neglected by mainstream fact-checking efforts, creating a critical need to scale-up efforts of nascent fact-checking initiatives. In this paper we present ...

Since the launch of various generative AI tools, scientists have been striving to evaluate their capabilities and contents, in the hope of establishing trust in their generative abilities. Regulations and guidelines are emerging to verify ...

In this talk, Dang-Nguyen discusses case studies conducted in collaboration with fact-checkers and journalists in the Nordic countries, with a specific focus on the user needs of fact-checkers, their workflows, and tools employed for verifying visual ...

Synthetic media generation and manipulation have seen rapid ad- vancements in recent years, making it increasingly easy to create multimedia content that is indistinguishable to the human observer. Moreover, generated content can be used maliciously by ...

This study investigates the ranking of problematic content and fact-checks of that content in Google Web Search results, examining their competition. The analysis is based on over 825 URLs extracted from Google Search Engine results pages (SERP) using ...

Fact-check consumers can have different preferences regarding the amount of text being used for explaining the claim veracity verdict. Dynamically adapting the size of a fact-check report is thus an important functionality for systems designed to convey ...

In today's digital era, the rapid spread of misinformation poses threats to public well-being and societal trust. As online misinformation proliferates, manual verification by fact checkers becomes increasingly challenging. We introduce FACT-GPT (Fact-...

Our society is facing rampant misinformation harming public health and trust. To address the societal challenge, we introduce FACT-GPT, a framework leveraging Large Language Models (LLMs) to assist fact-checking. FACT-GPT, trained on a synthetic dataset, ...

The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users’ autonomy, researchers have explored democratized ...

In this work, we examine how fact-checkers prioritize which claims to fact-check and what tools may assist them in their efforts. Through a series of interviews with 23 professional fact-checkers from around the world, we validate that harm assessment is ...

Social media platforms have witnessed an unprecedented growth in users from rural communities in India. Many of these users are new to online information environments and are highly susceptible to misinformation. Fact-checking has the potential to reduce ...

The first five editions of the CheckThat! lab focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. Since the 2023 edition, it has been focusing on new problems that ...

Misinformation poses a threat to democracy and to people’s health. Reliability criteria for news websites can help people identify misinformation. But despite their importance, there has been no empirically substantiated list of criteria for ...