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Peacefulness is a principal dimension of well-being and is the way out of inequity and violence. Thus, its measurement has drawn the attention of researchers, policymakers, and peacekeepers. During the last years, novel digital data streams…

Artificial Intelligence · Computer Science 2021-10-27 Vasiliki Voukelatou , Ioanna Miliou , Fosca Giannotti , Luca Pappalardo

Traditional methods for assessing national peace levels typically rely on socio-economic indicators or conflict incidence, often overlooking the nuanced signals embedded in public discourse. This study presents a novel computational…

Language is both a cause and a consequence of the social processes that lead to conflict or peace. Hate speech can mobilize violence and destruction. What are the characteristics of peace speech that reflect and support the social processes…

Computers and Society · Computer Science 2024-10-24 Larry S. Liebovitch , William Powers , Lin Shi , Allegra Chen-Carrel , Philippe Loustaunau , Peter T. Coleman

This paper presents a machine learning approach to classify countries as peaceful or non-peaceful using linguistic patterns extracted from global media articles. We employ vector embeddings and cosine similarity to develop a supervised…

Computation and Language · Computer Science 2025-04-11 K. Lian , L. S. Liebovitch , M. Wild , H. West , P. T. Coleman , F. Chen , E. Kimani , K. Sieck

With the continuous increase of internet usage in todays time, everyone is influenced by this source of the power of technology. Due to this, the rise of applications and games Is unstoppable. A major percentage of our population uses these…

Information Retrieval · Computer Science 2022-11-22 Vandit Gupta , Akshit Diwan , Chaitanya Chadha , Ashish Khanna , Deepak Gupta

With the prevalence of misinformation online, researchers have focused on developing various machine learning algorithms to detect fake news. However, users' perception of machine learning outcomes and related behaviors have been widely…

Human-Computer Interaction · Computer Science 2019-11-28 Limeng Cui

This study examines how fake news affects social media users across a range of age groups and how machine learning (ML) and artificial intelligence (AI) can help reduce the spread of false information. The paper evaluates various machine…

Computation and Language · Computer Science 2024-11-11 Kahlil bin Abdul Hakim , Sathishkumar Veerappampalayam Easwaramoorthy

In this work, we analyze the happiness levels of countries using an unbiased emotion detector, artificial intelligence (AI). To date, researchers proposed many factors that may affect happiness such as wealth, health and safety. Even though…

Artificial Intelligence · Computer Science 2020-11-26 Rustem Ozakar , Rafet Efe Gazanfer , Y. Sinan Hanay

Today's conflicts are becoming increasingly complex, fluid and fragmented, often involving a host of national and international actors with multiple and often divergent interests. This development poses significant challenges for conflict…

Computation and Language · Computer Science 2021-08-27 M. Arana-Catania , F. A. Van Lier , Rob Procter

The widespread emergence of manipulated news media content poses significant challenges to online information integrity. This study investigates whether dialogues with AI about AI-generated images and associated news statements can increase…

Human-Computer Interaction · Computer Science 2025-04-10 Anku Rani , Valdemar Danry , Andy Lippman , Pattie Maes

The proliferation of fake news and its propagation on social media has become a major concern due to its ability to create devastating impacts. Different machine learning approaches have been suggested to detect fake news. However, most of…

Computation and Language · Computer Science 2021-04-14 Junaed Younus Khan , Md. Tawkat Islam Khondaker , Sadia Afroz , Gias Uddin , Anindya Iqbal

Reducing the spread of misinformation is challenging. AI-based fact verification systems offer a promising solution by addressing the high costs and slow pace of traditional fact-checking. However, the problem of how to effectively…

Human-Computer Interaction · Computer Science 2025-03-14 Huiyun Tang , Björn Rohles , Yuwei Chuai , Gabriele Lenzini , Anastasia Sergeeva

Polarization and echo chambers are often studied in the context of explicitly political events such as elections, and little scholarship has examined the mixing of political groups in non-political contexts. A major obstacle to studying…

Social and Information Networks · Computer Science 2022-08-12 Ahmet Kurnaz , Scott A. Hale

Participation on social media platforms has many benefits but also poses substantial threats. Users often face an unintended loss of privacy, are bombarded with mis-/disinformation, or are trapped in filter bubbles due to over-personalized…

Social and Information Networks · Computer Science 2020-09-17 Christian von der Weth , Ashraf Abdul , Shaojing Fan , Mohan Kankanhalli

In this work, we present a novel quantification of conflict in online discussion. Unlike previous studies on conflict dynamics, which model conflict as a binary phenomenon, our measure is continuous-valued, which we validate with manually…

Social and Information Networks · Computer Science 2019-09-04 Subhabrata Dutta , Gunkirat Kaur , Shreyans Mongia , Arpan Mukherjee , Diankar Das , Tanmoy Chakraborty

Social media platforms are increasingly deploying complex interventions to help users detect false news. Labeling false news using techniques that combine crowd-sourcing with artificial intelligence (AI) offers a promising way to inform…

Human-Computer Interaction · Computer Science 2021-12-08 Ziv Epstein , Nicolò Foppiani , Sophie Hilgard , Sanjana Sharma , Elena Glassman , David Rand

In the recent political climate, the topic of news quality has drawn attention both from the public and the academic communities. The growing distrust of traditional news media makes it harder to find a common base of accepted truth. In…

Social and Information Networks · Computer Science 2019-05-14 Junting Ye , Steven Skiena

Fake news has now grown into a big problem for societies and also a major challenge for people fighting disinformation. This phenomenon plagues democratic elections, reputations of individual persons or organizations, and has negatively…

Polarization, declining trust, and wavering support for democratic norms are pressing threats to U.S. democracy. Exposure to verified and quality news may lower individual susceptibility to these threats and make citizens more resilient to…

Social and Information Networks · Computer Science 2024-04-02 Hadi Askari , Anshuman Chhabra , Bernhard Clemm von Hohenberg , Michael Heseltine , Magdalena Wojcieszak

Social media platforms enable instant and ubiquitous connectivity and are essential to social interaction and communication in our technological society. Apart from its advantages, these platforms have given rise to negative behaviors in…

Social and Information Networks · Computer Science 2025-05-08 Silvia García-Méndez , Francisco De Arriba-Pérez
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