arXiv subjects

Ergon Cugler de Moraes Silva

Publications and source records attributed to Ergon Cugler de Moraes Silva.

15 recordsLinked to original sources

arXiv2025

Disinformation about autism in Latin America and the Caribbean: Mapping 150 false causes and 150 false cures of ASD in conspiracy theory communities on Telegram

How do conspiracy theory communities in Latin America and the Caribbean structure, articulate, and sustain the dissemination of disinformation about autism? To answer this question, this research investigates the structuring, articulation, and promotion of autism-related disinformation in conspiracy theory communities in Latin America and the Caribbean. By analyzing publications from 1,659 Telegram communities over ten years (2015 - 2025) and examining more than 58 million pieces of shared content from approximately 5.3 million users, this study explores how false narratives about autism are promoted, including unfounded claims about its causes and promises of miraculous cures. The adopted methodology combines network analysis, time series analysis, thematic clustering, and content analysis, enabling the identification of dissemination patterns, key influencers, and interconnections with other conspiracy theories. Among the key findings, Brazilian communities stand out as the leading producers and distributors of these narratives in the region, accounting for 46% of the analyzed content. Additionally, there has been an exponential 15,000% (x151) increase in the volume of autism-related disinformation since the COVID-19 pandemic in Latin America and the Caribbean, highlighting the correlation between health crises and the rise of conspiracy beliefs. The research also reveals that false cures, such as chlorine dioxide (CDS), ozone therapy, and extreme diets, are widely promoted within these communities and commercially exploited, often preying on desperate families in exchange for money. By addressing the research question, this study aims to contribute to the understanding of the disinformation ecosystem and proposes critical reflections on how to confront these harmful narratives.

cs.SI↗

arXiv2024

TelegramScrap: A comprehensive tool for scraping Telegram data

[WhitePaper] The TelegramScrap tool provides a robust and versatile solution for extracting and analyzing data from Telegram channels and groups, addressing the increasing demand for efficient methods to study digital ecosystems. This white paper outlines the tool's development, capabilities, and applications in academic and scientific research, including studies on disinformation, political communication, and thematic patterns in online communities. Built with flexibility and user accessibility in mind, the tool allows researchers to customize scraping parameters, handle large datasets, and produce structured outputs in formats such as Excel and Parquet. Its modular architecture, real-time progress tracking, and error-handling mechanisms ensure reliability and scalability for diverse research needs. Emphasizing ethical data collection, the tool aligns with Telegram's terms of service and data privacy regulations, encouraging responsible use. Released under an open-source license, TelegramScrap invites the academic community to explore, adapt, and improve the tool while providing appropriate credit. This paper demonstrates the tool's impact through its application in multiple studies, showcasing its potential to advance computational social science and enhance understanding of digital interactions and societal trends [ Code available on GitHub: https://github.com/ergoncugler/web-scraping-telegram ].

cs.CY↗

arXiv2024

Flat-earth communities on Brazilian Telegram: when faith is used to question the existence of gravity as a physics phenomenon

Conspiracy theories related to flat-earthism have gained traction on Brazilian Telegram, especially in times of global crisis, such as the COVID-19 pandemic, when distrust in scientific and governmental institutions has intensified. Therefore, this study aims to address the research question: how are Brazilian conspiracy theory communities on flat earth topics characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies whose main objective is to understand and characterize Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on arXiv at Cornell University, applying a mirrored method across the seven studies, changing only the thematic object of analysis and providing investigation replicability, including with proprietary and authored codes, adding to the culture of free and open-source software. Regarding the main findings of this study, the following were observed: During the Pandemic, flat-earthist discussions increased by 400%, driven by distrust in scientific institutions; Flat-Earther communities act as portals for other conspiracy theories, such as the New World Order; Although smaller, the flat-Earther network has influential groups that disseminate content and perpetuate narratives; Religious themes such as God and the Bible are central, combining religious elements with distrust in science; Flat-Earther communities use themes such as gravity to challenge established scientific concepts, reinforcing an alternative view of the world.

cs.CY↗

arXiv2024

New world order, globalism and QAnon communities on Brazilian Telegram: how conspiracism opens doors to more harmful groups

Conspiracy theories involving the New World Order (NWO), Globalism, and QAnon have become central to discussions on Brazilian Telegram, especially during global crises such as the COVID-19 pandemic. Therefore, this study aims to address the research question: how are Brazilian conspiracy theory communities on new world order, globalism and QAnon topics characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies whose main objective is to understand and characterize Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on arXiv at Cornell University, applying a mirrored method across the seven studies, changing only the thematic object of analysis and providing investigation replicability, including with proprietary and authored codes, adding to the culture of free and open-source software. Regarding the main findings of this study, the following were observed: NWO and Globalism have become central catalysts for the dissemination of conspiracy theories; QAnon acts as a hub narrative that connects NWO and Globalism; During crises, mentions of NWO have grown exponentially, reflecting distrust in institutions; NWO and Globalism attract followers of other conspiracy theories, such as anti-vaccines, serving as the main gatekeeper of the entire conspiracy theory network; Religious narratives are often used to legitimize NWO, reinforcing ideological cohesion.

cs.CY↗

arXiv2024

Antivax and off-label medication communities on brazilian Telegram: between esotericism as a gateway and the monetization of false miraculous cures

Conspiracy theories, particularly those focused on anti-vaccine narratives and the promotion of off-label medications such as MMS and CDS, have proliferated on Telegram, including in Brazil, finding fertile ground among communities that share esoteric beliefs and distrust towards scientific institutions. In this context, this study seeks to answer how Brazilian conspiracy theory communities on Telegram are characterized and articulated concerning anti-vaccine themes and off-label medications? It is important to highlight that this study is part of a series of seven studies aimed at understanding and characterizing Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on the arXiv of Cornell University, applying a mirrored method across all studies, changing only the thematic object of analysis and providing replicable research, including proprietary and original codes developed, contributing to the culture of free and open-source software. Regarding the main findings of this study, it was observed: Themes such as the New World Order and Apocalypse and Survivalism act as significant gateways to anti-vaccine narratives, connecting them to theories of global control; Globalism and New World Order stand out as the main communities receiving invitations from anti-vaccine communities; Occultism and Esotericism emerge as the largest sources of invitations to off-label medication communities, creating a strong connection between esoteric beliefs and the promotion of non-scientific treatments; Anti-vaccine narratives experienced a 290% increase during the COVID-19 pandemic, evidencing a growing interconnectedness with other conspiracy theories; The overlap of themes between anti-vaccine and other conspiracy theories creates an interdependent disinformation network, where different narratives mutually reinforce each other.

cs.CY↗

arXiv2024

Climate change denial and anti-science communities on brazilian Telegram: climate disinformation as a gateway to broader conspiracy networks

Conspiracy theories related to climate change denial and anti-science have found fertile ground on Telegram, particularly among Brazilian communities that distrust scientific institutions and oppose global environmental policies. This study seeks to answer the research question: how are Brazilian conspiracy theory communities on climate change and anti-science themes characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies aimed at understanding and characterizing Brazilian conspiracy theory communities on Telegram. This series of studies is openly and originally available on arXiv from Cornell University, applying a mirrored method across all seven studies, changing only the thematic focus of analysis, and providing replicable investigation methods, including custom-developed and proprietary codes, contributing to the culture of open-source software. Regarding the main findings of this study, the following observations were made: Climate change denial and anti-science communities interact synergistically, creating a complex network that mutually reinforces disinformation narratives; Apocalyptic themes, such as Apocalypse and Survivalism, act as gateways to climate denial, with 5,057 links directed to these communities; Anti-science communities function as gatekeepers, distributing links evenly to theories such as the New World Order and Globalism, among others; During the COVID-19 pandemic, anti-science discussions experienced a significant peak, driven by vaccine disinformation; The intersection between anti-science narratives and esoteric beliefs reinforces the idea of a supposed alternative truth that challenges science; Since 2022, discussions on climate change have evolved to align with global domination theories; Additionally, the UN's 2030 Agenda is portrayed as part of a global conspiracy.

cs.CY↗

arXiv2024

Anti-woke agenda, gender issues, revisionism and hate speech communities on Brazilian Telegram: from harmful reactionary speech to the crime of glorifying Nazism and Hitler

Resistance to progressive policies and hate speech have been consolidating on Brazilian Telegram, with anti-woke communities rejecting diversity and promoting a worldview that sees these social changes as a threat. Therefore, this study aims to address the research question: how are Brazilian conspiracy theory communities on anti-woke agenda, gender issues, revisionism and hate speech topics characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies whose main objective is to understand and characterize Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on arXiv at Cornell University, applying a mirrored method across the seven studies, changing only the thematic object of analysis and providing investigation replicability, including with proprietary and authored codes, adding to the culture of free and open-source software. Regarding the main findings of this study, the following were observed: Anti-woke communities emerge as central forces in the Brazilian conspiracy ecosystem; During crises, mentions of hate speech and revisionism have increased significantly, reflecting polarization; Nazi communities on Telegram propagate extremist ideologies, glorifying Hitler; The interconnectivity between anti-woke, anti-gender and revisionism strengthens the ecosystem of hate; Anti-gender speech facilitates the spread of anti-vaccine disinformation, creating an intersection between health and conspiracy.

cs.CY↗

arXiv2024

UFO, universe, reptilians and creatures communities on Brazilian Telegram: when the sky is not the limit and conspiracy theories seek answers beyond humanity

Interest in extraterrestrial phenomena and conspiracy theories involving UFOs and reptilians has been growing on Brazilian Telegram, especially in times of global uncertainty, such as during the COVID-19 pandemic. Therefore, this study aims to address the research question: how are Brazilian conspiracy theory communities on UFO, universe, reptilians and creatures topics characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies whose main objective is to understand and characterize Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on arXiv at Cornell University, applying a mirrored method across the seven studies, changing only the thematic object of analysis and providing investigation replicability, including with proprietary and authored codes, adding to the culture of free and open-source software. Regarding the main findings of this study, the following were observed: UFO communities act as gateways for theories about reptilians, connecting narratives of global control with extraterrestrial beings; Discussions about UFOs and the universe grew significantly during the Pandemic, reflecting a renewed interest in extraterrestrial phenomena; Reptilians remain a significant subculture within conspiracy theories, with a notable growth during the Pandemic; The thematic overlap between UFOs, reptilians and esotericism reveals a cohesive ecosystem of disinformation, making factual correction a challenge; UFO communities function as amplifiers of other conspiracy theories, connecting different themes and strengthening the disinformation network.

cs.CY↗

arXiv2024

Apocalypse, survivalism, occultism and esotericism communities on Brazilian Telegram: when faith is used to sell quantum courses and open doors to harmful conspiracy theories

Brazilian communities on Telegram have increasingly turned to apocalyptic and survivalist theories, especially in times of crisis such as the COVID-19 pandemic, where narratives of occultism and esotericism find fertile ground. Therefore, this study aims to address the research question: how are Brazilian conspiracy theory communities on apocalypse, survivalism, occultism and esotericism topics characterized and articulated on Telegram? It is worth noting that this study is part of a series of seven studies whose main objective is to understand and characterize Brazilian conspiracy theory communities on Telegram. This series of seven studies is openly and originally available on arXiv at Cornell University, applying a mirrored method across the seven studies, changing only the thematic object of analysis and providing investigation replicability, including with proprietary and authored codes, adding to the culture of free and open-source software. Regarding the main findings of this study, the following were observed: Occult and esoteric communities function as gateways to apocalypse theories; Conspiracies about the New World Order are amplified by apocalyptic discussions; Survivalist narratives grew significantly during the Pandemic; Occultism and esotericism are sources of invitations to off-label drug communities, reinforcing scientific disinformation; Discussions about the apocalypse serve as a start for other conspiracy theories, expanding their reach.

cs.CY↗

arXiv2024

How disinformation and fake news impact public policies?: A review of international literature

This study investigates the impact of disinformation on public policies. Using 28 sets of keywords in eight databases, a systematic review was carried out following the Prisma 2020 model (Page et al., 2021). After applying filters and inclusion and exclusion criteria to 4,128 articles and materials found, 46 publications were analyzed, resulting in 23 disinformation impact categories. These categories were organized into two main axes: State and Society and Actors and Dynamics, covering impacts on State actors, society actors, State dynamics and society dynamics. The results indicate that disinformation affects public decisions, adherence to policies, prestige of institutions, perception of reality, consumption, public health and other aspects. Furthermore, this study suggests that disinformation should be treated as a public problem and incorporated into the public policy research agenda, contributing to the development of strategies to mitigate its effects on government actions.

cs.CY↗

arXiv2024

Asymptotic behavior of the Manhattan distance in $n$-dimensions: Estimating multidimensional scenarios in empirical experiments

Understanding distance metrics in high-dimensional spaces is crucial for various fields such as data analysis, machine learning, and optimization. The Manhattan distance, a fundamental metric in multi-dimensional settings, measures the distance between two points by summing the absolute differences along each dimension. This study investigates the behavior of Manhattan distance as the dimensionality of the space increases, addressing the question: how does the Manhattan distance between two points change as the number of dimensions n increases?. We analyze the theoretical properties and statistical behavior of Manhattan distance through mathematical derivations and computational simulations using Python. By examining random points uniformly distributed in fixed intervals across dimensions, we explore the asymptotic behavior of Manhattan distance and validate theoretical expectations empirically. Our findings reveal that the mean and variance of Manhattan distance exhibit predictable trends as dimensionality increases, aligning closely with theoretical predictions. Visualizations of Manhattan distance distributions across varying dimensionalities offer intuitive insights into its behavior. This study contributes to the understanding of distance metrics in high-dimensional spaces, providing insights for applications requiring efficient navigation and analysis in multi-dimensional domains.

math.GM↗

arXiv2024

What characteristics define disinformation and fake news?: review of taxonomies and definitions

What characteristics define disinformation and fake news? To address this research question, this Technical Note provides a comprehensive analysis of disinformation and fake news, synthesizing 46 definitions and highlighting four key points addressing their fundamental characteristics. Adopting the Prisma 2020 method, five search sets with the Boolean operator AND were selected in both Portuguese and English, which were applied across four databases, resulting in 237 reviewed articles. Following a meticulous analysis, relevant articles were identified and included, while duplicates and inaccessible documents were excluded. It points to disinformation as information that is totally or partially false, crafted by a sender with the aim of misleading, with opportunistic content designed to manipulate reality, being amplified by individual characteristics of the receiver in their interpretation and by contextual factors in which they are embedded. This Technical Note seeks to contribute to an understanding of the phenomenon of disinformation that includes the contextual dimension, obtaining as fundamental elements of analysis: I.) Sender; II.) Content; III.) Receiver; and IV.) Environment.

cs.CY↗

arXiv2024

From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no Libraries

Reinforcement learning (RL) algorithms have become indispensable tools in artificial intelligence, empowering agents to acquire optimal decision-making policies through interactions with their environment and feedback mechanisms. This study explores the performance of RL agents in both two-dimensional (2D) and three-dimensional (3D) environments, aiming to research the dynamics of learning across different spatial dimensions. A key aspect of this investigation is the absence of pre-made libraries for learning, with the algorithm developed exclusively through computational mathematics. The methodological framework centers on RL principles, employing a Q-learning agent class and distinct environment classes tailored to each spatial dimension. The research aims to address the question: How do reinforcement learning agents adapt and perform in environments of varying spatial dimensions, particularly in 2D and 3D settings? Through empirical analysis, the study evaluates agents' learning trajectories and adaptation processes, revealing insights into the efficacy of RL algorithms in navigating complex, multi-dimensional spaces. Reflections on the findings prompt considerations for future research, particularly in understanding the dynamics of learning in higher-dimensional environments.

cs.LG↗

arXiv2024

To be, or not to be, that is the Question: Exploring the pseudorandom generation of texts to write Hamlet from the perspective of the Infinite Monkey Theorem

This article explores the theoretical and computational aspects of the Infinite Monkey Theorem, investigating the number of attempts and the time required for a set of pseudorandom characters to assemble and recite Hamlets iconic phrase, To be, or not to be, that is the Question. Drawing inspiration from Emile Borel's original concept (1913), the study delves into the practical implications of pseudorandomness using Python. Employing Python simulations to generate excerpts from Hamlet, the research navigates historical perspectives and bridges early theoretical foundations with contemporary computational approaches. A set of tests reveals the attempts and time required to generate incremental parts of the target phrase. Utilizing these results, growth factors are calculated, projecting estimated attempts and time for each text part. The findings indicate an astronomical challenge to generate the entire phrase, requiring approximately $2.68\times 10^{69}$ attempts and $2.95\times 10^{66}$ seconds - equivalent to $8.18\times 10^{62}$ hours or $9.32\times 10^{55}$ years. This temporal scale, exceeding the age of the universe by $6.75\times 10e^{45}$ times, underscores the immense complexity and improbability of random literary creation. The article concludes with reflections on the mathematical intricacies and statistical feasibility within the context of the Infinite Monkey Theorem, emphasizing the theoretical musings surrounding infinite time and the profound limitations inherent in such endeavors. And that only infinity could write Hamlet randomly.

math.NA↗

arXiv2024

Exploring pseudorandom value addition operations in datasets: A layered approach to escape from normal-Gaussian patterns

In the realm of statistical exploration, the manipulation of pseudo-random values to discern their impact on data distribution presents a compelling avenue of inquiry. This article investigates the question: Is it possible to add pseudo-random values without compelling a shift towards a normal distribution?. Employing Python techniques, the study explores the nuances of pseudo-random value addition within the context of additions, aiming to unravel the interplay between randomness and resulting statistical characteristics. The Materials and Methods chapter details the construction of datasets comprising up to 300 billion pseudo-random values, employing three distinct layers of manipulation. The Results chapter visually and quantitatively explores the generated datasets, emphasizing distribution and standard deviation metrics. The study concludes with reflections on the implications of pseudo-random value manipulation and suggests avenues for future research. In the layered exploration, the first layer introduces subtle normalization with increasing summations, while the second layer enhances normality. The third layer disrupts typical distribution patterns, leaning towards randomness despite pseudo-random value summation. Standard deviation patterns across layers further illuminate the dynamic interplay of pseudo-random operations on statistical characteristics. While not aiming to disrupt academic norms, this work modestly contributes insights into data distribution complexities. Future studies are encouraged to delve deeper into the implications of data manipulation on statistical outcomes, extending the understanding of pseudo-random operations in diverse contexts.

math.NA↗