Search Results (38)

This study proposes an AI-assisted governance framework to enhance decision-making within decentralized autonomous organizations (DAOs). By integrating chain-of-thought (CoT) reasoning with stakeholder-adaptive recommendations, the framework improves decision alignment, increases voter participation, and enhances governance transparency. Through simulations based on historical KlimaDAO data, the system achieved a 97% alignment with past decisions, a projected 40% increase in participation, and a 35% improvement in governance clarity. To support quantitative analysis in tokenomics, we developed a tailored CoT reasoning strategy, effectively reducing information asymmetry and generating structured, trustworthy recommendations. These results underscore the potential of AI to foster more inclusive and transparent DAO governance. Future work will explore deploying lightweight AI models and extending this approach to a broader range of DAO ecosystems. Full article

Architectural ambiance refers to the mood perceived in a built environment, assessed through human reactions to virtual drawings of prospective spaces. This paper investigates the use of a ready-made artificial intelligence model to automate this task. Based on professional BIM models, videos of virtual tours of typical urban areas were built: a business district, a strip mall, and a residential area. GPT-4V was used to assess the aesthetic quality of the built environment based on keyframes of the videos and characterize these spaces shaped by subjective attributes. The spatial qualities analyzed through subjective human experience include space and scale, enclosure, style, and overall feelings. These factors were assessed with a diverse set of mood attributes, ranging from balance and protection to elegance, simplicity, or nostalgia. Human participants were surveyed with the same questions based on the videos. The answers were compared and analyzed according to these subjective attributes. Our findings indicate that, while GPT-4V demonstrates adequate proficiency in interpreting urban spaces, there are significant differences between the AI and human evaluators. In nine out of twelve cases, the AI’s assessments aligned with the majority of human voters. The business district environment proved more challenging to assess, while the green environment was effectively modeled. Full article

Research on climate activism has predominantly focused on affluent regions of the Global North, often emphasizing public participation and protest while overlooking the experiences of youth in other contexts. This study addresses this gap by exploring everyday environmental activism and eco-literacy among young people in Bulgaria, a post-communist society. It challenges the prevailing top-down political frameworks that marginalize diverse forms of political participation. This study argues that young people’s environmental awareness, shaped by their lived experiences, reflects their engagement with consumerism and climate change and is expressed through various modes of participation, including the victim, voter, rejecter, and interpreter forms of agency. Drawing on ethnographic data from interviews, mapping activities, and short essays, this research examines how environmental identities are enacted in mundane ways that reflect young people’s levels of eco-literacy, focusing on a cohort from diverse socioeconomic backgrounds in both urban and rural contexts. The findings reveal the performances of everyday environmental activism and shed light on the liminal political positions youth navigate in their daily lives. This research contributes to education studies by offering insights into how young people’s everyday environmental activism and eco-literacy, rooted in their subjectivities, transcend traditional educational frameworks and provide a deeper understanding of how they learn to become environmental subjects in under-represented contexts. Full article

This research is an analysis of redistricting between the 2018 and 2022 midterm elections and its consequences regarding Black political mobilization and participation. An examination of redistricting after the 2020 census and its implications on racial mobilization is a defining objective of the study. Essentially, the primary aim of the study is to assess the nature of redistricting and gerrymandering on Black voter participation by comparing the 2018 and 2022 midterm elections. Full article

This study investigates the impact of candidates disseminating fake news on voter behavior and electoral outcomes in highly competitive, partisan races. While the effects of fake news on electoral outcomes have been studied, research has yet to examine the impact of candidates’ strategic use of fake news in elections where it may have the greatest impact—close races. This research explores whether the use of fake news influences voter support, particularly among independent voters, in tightly contested elections. Through a conjoint survey experiment involving participants from Amazon MTurk, this study analyzes how variables such as race competitiveness, perceived risk of alienating independents, and the presence of partisan labels affect voter responses to candidates who spread misinformation. The findings indicate that while the competitiveness of a race does not significantly enhance support for candidates sharing fake news, the presence of partisan labels does. These results suggest that voter behavior in response to fake news is more closely tied to partisan identity than to strategic electoral considerations. This study highlights the complex dynamics of misinformation in electoral contexts and its implications for democratic processes. Full article

Elections and voting play a crucial role in the development of a democratic society, enabling the public to express their views and participate in the decision-making process. Voting methods have evolved from paper ballot systems to e-voting systems to preserve the integrity of votes, ensuring a secure, transparent, and verifiable process. Continuous efforts have been made to develop a secure e-voting system that eliminates fraud attempts and provides accurate voting results. In this paper, we propose the architecture of a blockchain-based e-voting system called VoteChain. Developed to support the existing voting system in the state of Palestine, VoteChain aims to provide secure e-voting with features such as auditability, verifiability, accuracy, privacy, flexibility, transparency, mobility, availability, convenience, data integrity, and distribution of authority. The work introduces a smart contract designed to meet the demands of e-voting, governing transactions, monitoring computations, enforcing acceptable usage policies, and managing data usage after transmission. The proposed system also adopts advanced cryptographic techniques to enhance security. VoteChain features a web-based interface to facilitate user interaction, providing protection against multiple or double voting to ensure the integrity of the election. Furthermore, VoteChain is designed with a user-friendly and easily accessible administrator interface for managing voters, constituencies, and candidates. It ensures equal participation rights for all voters, fostering fair and healthy competition among candidates while preserving voter anonymity. A comparative analysis demonstrates VoteChain’s advancements in privacy, security, and scalability over both traditional and blockchain-based e-voting systems. Full article

Botswana has had fair and stable elections since its independence in 1966. It has a relatively high standard of living, a relatively well-functioning welfare state, and relatively low levels of government corruption. Voter participation is among the highest in the world, topping 80 percent in the past elections. Access to education and healthcare is free to all citizens. How can we best explain Botswana’s exceptionalism in the political, economic, and social realms, and what policy lessons does the case of Botswana contain? This article shows that it is Botswana’s millennial tradition of direct village democracy, kgotla, that best explains its exceptional performance. I visited Botswana in May of 2023 to evaluate the importance of participatory democracy in Botswana and assess its explanatory power. When comparing local participation to other, potentially relevant causal factors, I find that local political participation provides the most robust explanation for good governance in Botswana. In Botswana, citizens are able to hold their elected officials accountable, learn how politics works by acquiring the necessary technical knowledge (techne) through participating in regular, monthly public assemblies, and, as a result, make better-informed political decisions. Full article

Digital transformation and new technologies have made people’s lives easier and led to great results in most areas of business and society. Implementing blockchain technology is one of the best tools for establishing sustainable smart cities and societies. In terms of sustainable governance sophisticated and secure voting systems are necessary to achieve high integrity and transparency and null election fraud, and, in environmental sustainability, e-voting systems eliminate the mass waste of paper and transportation gas emissions; namely, e-voting systems are eco-friendly with high democratic outcomes. Blockchain technology can revolutionize e-voting by increasing the security and transparency of the voting process. Integrating artificial intelligence (AI) and machine learning (ML) into blockchain-based e-voting systems further augments their effectiveness. AI algorithms can analyze voting patterns and detect irregularities, supporting the prevention of fraudulent activities and coercion. ML procedures can enhance voter authentication processes, improve accessibility for diverse demographics, and optimize the productivity of blockchain networks during peak voting periods. This study focuses on understanding citizen perceptions of blockchain-based e-voting in a smart city context using the Technology Acceptance Model (TAM). The study’s results indicate that perceived ease of use and perceived usefulness are important factors in determining citizens’ intentions to use blockchain-based e-voting. Furthermore, trust in the technology and perceived security were found to influence the usefulness of blockchain-based e-voting positively. This study provides important insights for policymakers and technologists seeking to promote the adoption of blockchain-based e-voting systems in smart cities. The findings of the research supported the research model with positive results. In conclusion, our research model encourages the adoption of a blockchain-based e-voting system to enhance the future voting environment. Full article

Although electoral systems are a traditional focus in political science, limited research exists on the characteristics of overseas constituency representation. This study aims to quantitatively elucidate these characteristics through a comparative analysis of the election systems in eight countries. This study analyzes overseas constituency representative systems while focusing on key factors such as the number of eligible voters, seats, voter turnout, and representativeness (value of a single vote). Voter turnout in overseas districts varies significantly among these countries. Notably, Croatia and Romania exhibit exceptionally high voter turnouts in overseas districts. Common characteristics in high-turnout countries include a higher representativeness in overseas districts than the home country and a small proportion of overseas voters in the total electorate. This dynamic incentivizes overseas voters to participate in elections to reflect their minority opinions in national politics. Furthermore, it potentially leads to a higher voter turnout in overseas districts than in the home country. Full article

The aim of this study is to determine whether the fatalistic tendencies of young adult university students predict their political preferences. For this purpose, the fatalism tendency scale consisting of four sub-dimensions was applied, and the predictive power of the obtained data on political preferences was examined. The study sample consisted of 630 young adult university students (male 294, female 336) between the ages of 18 and 26. Independent variables are fatalism sub-dimensions (predetermination, personal control, luck, and superstition), and dependent variables are political leaders and political party preferences. Multinomial logistic regression analysis was used to determine the effect of independent variables on dependent variables. The analysis results revealed that the sub-dimensions of fatalism, predetermination, luck, and superstition significantly predicted voters’ preferences for political leaders. No significant relationship could be detected between the change in participants’ personal control tendency and their preference for political leaders. In the second stage of the analysis, it was examined whether the tendency towards fatalism affected the choice of political party. It was observed that the sub-dimensions of predetermination, luck, and superstition were significant predictors of political party preferences. There was no significant relationship between change in personal control tendency and political party preference. The research results revealed that if the tendency towards fatalism changes, there are also significant changes in political preferences. Full article

To realize policies that benefit the youth and future generations, discussions are being held on how to give the votes of children who are currently ineligible to vote, and even future unborn generations, to their parents or voters of the present generation to vote as their proxies. To examine the effect of proxy voting on future-friendly choices, we conducted a laboratory experiment with the general public, including parents. Participants were assigned the roles of present and future generations, and the present-generation participants voted on allocating payoffs between generations. Proxy votes for future-generation participants were granted to some present-generation participants. We found that proxy voting did not increase the proportion of votes for future-friendly choices compared to the case without proxy votes, which is consistent with previous studies involving university students. We also observed that the older the participants, the more likely they were to vote for future-friendly choices. Once age was controlled for, parents were less likely than non-parents to vote for future-friendly choices. From a consequentialist perspective, these results suggest that we should add a twist to proxy voting, examine non-proxy voting methods, or explore other measures. Full article

The current traditional paper ballot voting schemes suffer from several limitations such as processing delays due to counting paper ballots, lack of transparency, and manipulation of the ballots. To solve these limitations, an electronic voting (e-voting) scheme has received massive interest from both governments and academia. In e-voting, individuals can cast their vote online using their smartphones without the need to wait in long lines. Additionally, handicapped voters who face limited wheelchair access in many polling centers could now participate in elections hassle-free. The existing e-voting schemes suffer from several limitations as they are either centralized, based on public blockchains, or utilize local private blockchains. This results in privacy issues (using public blockchains) or large financial costs (using local/private blockchains) due to the amount of computing power and technical knowledge needed to host blockchains locally. To address the aforementioned limitations, in this paper, we propose an online voting scheme using IBM cloud-based Hyperledger Fabric. Our scheme allows voters to cast their encrypted votes in a secure manner. Then any participant can obtain the ballot results in a decentralized and transparent manner, without sacrificing the privacy of individual voters. We implement the proposed scheme using IBM cloud-based Hyperledger Fabric. The experimental results identify the performance characteristics of our scheme and demonstrate that it is feasible to run an election consisting of thousands of participants using cloud-based Fabric. Full article

The federated learning (FL) approach in machine learning preserves user privacy during data collection. However, traditional FL schemes still rely on a centralized server, making them vulnerable to security risks, such as data breaches and tampering of models caused by malicious actors attempting to gain access by masquerading as trainers. To address these issues that hamper the trustability of federated learning, requirements were analyzed for several of these problems. The findings revealed that issues, such as the lack of accountability management, malicious actor mitigation, and model leakage, remained unaddressed in prior works. To fill this gap, a blockchain-based trustable FL scheme, MAM-FL, is proposed with the focus on providing accountability to trainers. MAM-FL established a group of voters responsible for evaluating and verifying the validity of the model updates submitted. The effectiveness of MAM-FL was tested based on the reduction of malicious actors present on both trainers’ and voters’ sides and the ability to handle colluding participants. Experiments show that MAM-FL succeeded at reducing the number of malicious actors, despite the test case involving initial collusion in the system. Full article

Redactable Blockchain aims to ensure the immutability of the data of most applications and provide authorized mutability for some specific applications, such as for removing illegal content from blockchains. However, the existing Redactable Blockchains lack redacting efficiency and protection of the identity information of voters participating in the redacting consensus. To fill this gap, this paper presents an anonymous and efficient redactable blockchain scheme based on Proof-of-Work (PoW) in the permissionless setting, called “AeRChain”. Specifically, the paper first presents an improved Back’s Linkable Spontaneous Anonymous Group (bLSAG) signatures scheme and uses the improved scheme to hide the identity of blockchain voters. Then, in order to accelerate the achievement of redacting consensus, it introduces a moderate puzzle with variable target values for selecting voters and a voting weight function for assigning different weights to puzzles with different target values. The experimental results show that the present scheme can achieve efficient anonymous redacting consensus with low overhead and reduce communication traffic. Full article

With the advancement of cyber threats, blockchain technology has evolved to have a significant role in providing secure and reliable decentralized applications. One of these applications is a remote voting system that allow voters to participate in elections remotely. This work proposes a privacy-preserving e-voting system supporting score voting using blockchain technology. The main challenge with score voting compared to the regular yes/no voting approach is that a voter is allowed to assign a score from a defined range for each candidate. To preserve privacy, votes shall be encrypted before submission to the Blockchain, however, a malicious voter can modify the score value before encrypting it to manipulate the elections result for the favor of a certain candidate. To address this challenge, the proposed scheme allows voters to first prove that the submitted score lies in the predefined range before the vote is added to the Blockchain to ensure fairness of the election. The performance of our scheme is evaluated against a set of comprehensive experiments designed to determine optimal bounds for workload and transaction send rates and measure the impact of exceeding these bounds on critical performance metrics. The results of these simulations and their implications therefore indicate that the proposed scheme is secure while being able to handle up to 10,000 transactions at a time. Full article