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Related papers: True Lies

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We study the diffusion of a true and a false message (misinformation) when agents are biased and able to verify messages. As a recipient of a false message who verifies it becomes informed of the truth, a higher prevalence of misinformation…

Theoretical Economics · Economics 2026-02-25 Luca Paolo Merlino , Nicole Tabasso

The standard notion of formal theory, in Logic, is in general biased exclusively towards assertion: it commonly refers only to collections of assertions that any agent who accepts the generating axioms of the theory should also be committed…

Logic · Mathematics 2019-04-04 Carolina Blasio , Carlos Caleiro , João Marcos

The recent proliferation of "fake news" has triggered a number of responses, most notably the emergence of several manual fact-checking initiatives. As a result and over time, a large number of fact-checked claims have been accumulated,…

Computation and Language · Computer Science 2020-05-14 Shaden Shaar , Giovanni Da San Martino , Nikolay Babulkov , Preslav Nakov

The probability leakage of model M with respect to evidence E is defined. Probability leakage is a kind of model error. It occurs when M implies that events $y$, which are impossible given E, have positive probability. Leakage does not…

Statistics Theory · Mathematics 2012-01-18 William M. Briggs

Misinformation posting and spreading in Social Media is ignited by personal decisions on the truthfulness of news that may cause wide and deep cascades at a large scale in a fraction of minutes. When individuals are exposed to information,…

Computers and Society · Computer Science 2022-10-11 Giancarlo Ruffo , Alfonso Semeraro

The language of probability is used to define several different types of conditional statements. There are four principal types: subjunctive, material, existential, and feasibility. Two further types of conditionals are defined using the…

Logic · Mathematics 2014-09-29 Joseph W. Norman

People often ask questions with false assumptions, a type of question that does not have regular answers. Answering such questions requires first identifying the false assumptions. Large Language Models (LLMs) often generate misleading…

Computation and Language · Computer Science 2025-09-24 Zijie Wang , Eduardo Blanco

Political misinformation poses significant challenges to democratic processes, shaping public opinion and trust in media. Manual fact-checking methods face issues of scalability and annotator bias, while machine learning models require…

Computation and Language · Computer Science 2024-11-11 Veronica Chatrath , Marcelo Lotif , Shaina Raza

From marketing to politics, exploitation of incomplete information through selective communication of arguments is ubiquitous. In this work, we focus on development of an argumentation-theoretic model for manipulable multi-agent…

Artificial Intelligence · Computer Science 2019-09-17 Ryuta Arisaka , Makoto Hagiwara , Takayuki Ito

We motivate and describe a theory of belief in this paper. This theory is developed with the following view of human belief in mind. Consider the belief that an event E will occur (or has occurred or is occurring). An agent either…

Artificial Intelligence · Computer Science 2013-03-26 Yen-Teh Hsia

Evaluating an explanation's faithfulness is desired for many reasons such as trust, interpretability and diagnosing the sources of model's errors. In this work, which focuses on the NLI task, we introduce the methodology of…

Computation and Language · Computer Science 2022-05-26 Suzanna Sia , Anton Belyy , Amjad Almahairi , Madian Khabsa , Luke Zettlemoyer , Lambert Mathias

This paper presents a formal theory which describes propositional binary logic as a semantically closed formal language, and allows for syntactically and semantically well-formed formulae, formal proofs (demonstrability in Hilbertian…

Logic in Computer Science · Computer Science 2011-06-21 Nicolaie Popescu-Bodorin , Luminita State

Several recent works argue that LLMs have a universal truth direction where true and false statements are linearly separable in the activation space of the model. It has been demonstrated that linear probes trained on a single hidden state…

Computation and Language · Computer Science 2025-05-16 Timour Ichmoukhamedov , David Martens

Dynamic epistemic logics which model abilities of agents to make various announcements and influence each other's knowledge have been studied extensively in recent years. Two notable examples of such logics are Group Announcement Logic and…

Logic in Computer Science · Computer Science 2017-07-28 Rustam Galimullin , Natasha Alechina

A new definition of a real number is that it is a rule which says Yes or No based on whether the real number ought to be in a given rational interval. This is a teaser paper for formalizing, exploring, and generalizing this definition. The…

General Mathematics · Mathematics 2023-05-16 James Taylor

An increasingly common socio-technical problem is people being taken in by offers that sound ``too good to be true'', where persuasion and trust shape decision-making. This paper investigates how \abr{ai} can help detect these deceptive…

Computation and Language · Computer Science 2025-06-06 Wichayaporn Wongkamjan , Yanze Wang , Feng Gu , Denis Peskoff , Jonathan K. Kummerfeld , Jonathan May , Jordan Lee Boyd-Graber

We study a setting where Bayesian agents with a common prior have private information related to an event's outcome and sequentially make public announcements relating to their information. Our main result shows that when agents' private…

Computer Science and Game Theory · Computer Science 2022-11-28 Yuqing Kong , Grant Schoenebeck

Argumentation is the process of constructing arguments about propositions, and the assignment of statements of confidence to those propositions based on the nature and relative strength of their supporting arguments. The process is modelled…

Artificial Intelligence · Computer Science 2013-03-08 John Fox , Paul J. Krause , Morten Elvang-Gøransson

In logic there is a clear concept of what constitutes a proof and what not. A proof is essentially defined as a finite sequence of formulae which are either axioms or derived by proof rules from formulae earlier in the sequence.…

Artificial Intelligence · Computer Science 2010-05-28 Manfred Kerber

Negation as failure and incomplete information in logic programs have been studied by many researchers In order to explains HOW a negated conclusion was reached, we introduce and proof a different way for negating facts to overcoming…

Artificial Intelligence · Computer Science 2013-03-06 M. A. El-Dosuky , T. T. Hamza , M. Z. Rashad , A. H. Naguib