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Journal articles on the topic 'Algorithmic mechanism'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Nisan, Noam, and Amir Ronen. "Algorithmic Mechanism Design." Games and Economic Behavior 35, no. 1-2 (2001): 166–96. http://dx.doi.org/10.1006/game.1999.0790.

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Chawla, Shuchi, and Balasubramanian Sivan. "Bayesian algorithmic mechanism design." ACM SIGecom Exchanges 13, no. 1 (2014): 5–49. http://dx.doi.org/10.1145/2692375.2692378.

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3

Wang, Jiayi. "Updating the Gatekeeper in the New Media Age: The Algorithm." Lecture Notes in Education Psychology and Public Media 4, no. 1 (2023): 284–88. http://dx.doi.org/10.54254/2753-7048/4/20220333.

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In the era of new media, an algorithmic recommendation mechanism is widely used by social media platforms as a new type of gatekeeper and has greatly affected people's entertainment methods and habits. Algorithms collect and analyze user data and then recommend similar content to users based on relevant tags and keywords. Although this provides users with a personalized experience, this personalized service unconsciously forms an information cocoon, which can easily limit people's cognition. It is the purpose of this article to let the audience understand the impact of the algorithmic recommen

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Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design With Investment." Econometrica 91, no. 6 (2023): 1969–2003. http://dx.doi.org/10.3982/ecta19559.

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We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare in the allocation problem but guarantee nothing when accounting for investment incentives. An algorithm's allocative and investment guarantees coincide if and only if its confirming negative externalities are sufficiently small. We introduce fast approximation algorithms for the knapsack problem that have no confirming negative externalities and guarantees close to 100% for both allocation and invest

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Pei, Yan. "Algorithmic Mechanism Design of Evolutionary Computation." Computational Intelligence and Neuroscience 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/591954.

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We consider algorithmic design, enhancement, and improvement of evolutionary computation as a mechanism design problem. All individuals or several groups of individuals can be considered as self-interested agents. The individuals in evolutionary computation can manipulate parameter settings and operations by satisfying their own preferences, which are defined by an evolutionary computation algorithm designer, rather than by following a fixed algorithm rule. Evolutionary computation algorithm designers or self-adaptive methods should construct proper rules and mechanisms for all agents (individ

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Chen, Zhiling, and Chen Shi. "Analysis of Algorithm Recommendation Mechanism of TikTok." International Journal of Education and Humanities 4, no. 1 (2022): 12–14. http://dx.doi.org/10.54097/ijeh.v4i1.1152.

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Algorithmic recommendation technology is used in all walks of life, among which the application in the news media industry has achieved great development. As a major mainstream mode of content distribution, algorithmic recommendation is well applied to the TikTok, enabling it to accurately and efficiently push video content that users are interested in. As algorithmic recommendation gradually becomes an indispensable part of content operation, analyzing the algorithmic recommendation mechanism will help the platform to better attract and serve users, so that users can get a better experience a

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Yang, Song. "The Dilemma of Algorithmic Recommendation Mechanism of E-commerce Platform and Its Countermeasures." Advances in Economics, Management and Political Sciences 70, no. 1 (2024): 209–16. http://dx.doi.org/10.54254/2754-1169/70/20231699.

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E-commerce, as a convenient and flexible way of shopping, has become the largest, fastest-growing and widest-coverage component of China's digital economic development. At the same time, with the continuous progress of technology and the evolution of user needs, major e-commerce platforms are also committed to using the personalized and diversified features of the algorithmic recommendation mechanism to stimulate consumers' purchasing behavior. However, we can't ignore the fact that the widespread application of algorithmic recommendation mechanisms has brought some negative impacts to consume

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Kahng, Anson, Simon Mackenzie, and Ariel Procaccia. "Liquid Democracy: An Algorithmic Perspective." Journal of Artificial Intelligence Research 70 (March 24, 2021): 1223–52. http://dx.doi.org/10.1613/jair.1.12261.

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We study liquid democracy, a collective decision making paradigm that allows voters to transitively delegate their votes, through an algorithmic lens. In our model, there are two alternatives, one correct and one incorrect, and we are interested in the probability that the majority opinion is correct. Our main question is whether there exist delegation mechanisms that are guaranteed to outperform direct voting, in the sense of being always at least as likely, and sometimes more likely, to make a correct decision. Even though we assume that voters can only delegate their votes to better-informe

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Guo, Qiuyun. "Algorithmic control and gig workers’ facades of conformity: A work stress perspective." Social Behavior and Personality: an international journal 52, no. 1 (2024): 1–13. http://dx.doi.org/10.2224/sbp.12904.

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I examined the relationship between algorithmic control and gig workers’ facades of conformity by investigating the underlying mechanism. Drawing on the challenge???hindrance stress model, I explored the mediating role of challenge stress and hindrance stress in this relationship. Then, by using data collected from an online food delivery platform in China, I demonstrated that hindrance stress positively mediated the relationship between algorithmic control and facades of conformity, but the mediating effect of challenge stress was not significant. This study contributes to the emerging resear

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Dughmi, Shaddin, and Tim Roughgarden. "Black-Box Randomized Reductions in Algorithmic Mechanism Design." SIAM Journal on Computing 43, no. 1 (2014): 312–36. http://dx.doi.org/10.1137/110843654.

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Marley, Vladimir, Dmitrii Vasilchenko, Lubov Tyndykar, Sergey Plotnikov, and Oleg Korolev. "Algorithmic Networks and Object-Oriented Programming." E3S Web of Conferences 363 (2022): 01003. http://dx.doi.org/10.1051/e3sconf/202236301003.

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The article considers relevance of using the formalism of algorithmic networks in terms of object-oriented programming and the development of the basic ideology of using the formalism of algorithmic networks to solve problems in the framework of object-oriented systems is considered. A solution is proposed to create a network of connected objects of a certain structure with the formalism of algorithmic networks and its algorithmic completeness. The choice of the platform for the implementation of the required task on the software part was made, providing full support for the object-oriented pa

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Lu, Siheng. "The Interaction between Douyin Opinion Leaders and Douyin Algorithms and Recommendation Mechanisms: The Spread of False Information." Academic Journal of Management and Social Sciences 10, no. 3 (2025): 82–86. https://doi.org/10.54097/yvyxeb90.

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This paper explores the interaction between opinion leaders and algorithmic mechanisms on the Douyin platform, especially the process of false information dissemination. By analyzing the behavior of opinion leaders, this paper distinguishes between intentional and unintentional ways of false information dissemination. As opinion leaders on the platform, opinion leaders can influence the ideas and behaviors of a large number of users through posting, sharing or commenting, thereby accelerating the spread of false information. Douyin's recommendation algorithm and "recommend to friends" function

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Xia, Hanmeng, Huiru Yang, Xiaoqian Liu, and Xin Zhang. "The Impact of In-Feed Recommendation on Consumers' Impulse Buying Behavior on Short Video Platforms." Journal of Organizational and End User Computing 37, no. 1 (2025): 1–30. https://doi.org/10.4018/joeuc.385730.

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The widespread adoption of algorithm-driven short video platforms has transformed how users process content and engage in impulsive purchasing. However, current models often fail to capture the multi-dimensional psychological mechanisms that underlie such behavior, particularly the dynamic interplay between content signals, emotional immersion, perceptual intuition, and algorithmic perception. To address these limitations, this study proposes stimulus-organism-response–elaboration likelihood model, an integrated behavioral model that fuses the stimulus–organism–response paradigm with dual-rout

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Cristianini, Nello, and Teresa Scantamburlo. "On social machines for algorithmic regulation." AI & SOCIETY 35, no. 3 (2019): 645–62. http://dx.doi.org/10.1007/s00146-019-00917-8.

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Abstract Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler, mechanism design, reputation management systems, and social scoring. After showing how all

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Zhou, Xiao Cheng, Li Deng, and Jian Gang Yan. "Task Assigned Algorithmic for Multi-UCAV Based on Auction Mechanism." Advanced Materials Research 490-495 (March 2012): 1792–96. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1792.

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Under the uncertain battle environment, the key to completing battle task of UCAV is that whether the dynamic task could be assigned in real-time and effective method. Dynamic task assigned arithmetic of UCAV is put forward based on auction mechanism principle in this paper. Arithmetic flow is shown, benefit calculation function is constructed and algorithmic efficiency is analyzed in this paper. Simulation experiments indicate that this algorithmic reduces more calculating quantity and has better real time character compared with traditional method.

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Aziz, Haris, Hau Chan, Barton Lee, Bo Li, and Toby Walsh. "Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (2020): 1806–13. http://dx.doi.org/10.1609/aaai.v34i02.5547.

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We consider the facility location problem in the one-dimensional setting where each facility can serve a limited number of agents from the algorithmic and mechanism design perspectives. From the algorithmic perspective, we prove that the corresponding optimization problem, where the goal is to locate facilities to minimize either the total cost to all agents or the maximum cost of any agent is NP-hard. However, we show that the problem is fixed-parameter tractable, and the optimal solution can be computed in polynomial time whenever the number of facilities is bounded, or when all facilities h

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Farina, Gabriele, and Nicola Gatti. "Adopting the Cascade Model in Ad Auctions: Efficiency Bounds and Truthful Algorithmic Mechanisms." Journal of Artificial Intelligence Research 59 (July 17, 2017): 265–310. http://dx.doi.org/10.1613/jair.5438.

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Sponsored Search Auctions (SSAs) are one of the most successful applications of microeconomic mechanisms, with a revenue of about $72 billion in the US alone in 2016. However, the problem of designing the best economic mechanism for sponsored search auctions is far from being solved, and, given the amount at stake, it is no surprise that it has received growing attention over the past few years. The most common auction mechanism for SSAs is the Generalized Second Price (GSP). However, the GSP is known not to be truthful: the agents participating in the auction might have an incentive to report

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Grosu, D., and A. T. Chronopoulos. "Algorithmic Mechanism Design for Load Balancing in Distributed Systems." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 1 (2004): 77–84. http://dx.doi.org/10.1109/tsmcb.2002.805812.

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Dobzinski, Shahar, and Shaddin Dughmi. "On the Power of Randomization in Algorithmic Mechanism Design." SIAM Journal on Computing 42, no. 6 (2013): 2287–304. http://dx.doi.org/10.1137/090780146.

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Carroll, Thomas E., and Daniel Grosu. "Distributed algorithmic mechanism design for scheduling on unrelated machines." Journal of Parallel and Distributed Computing 71, no. 3 (2011): 397–406. http://dx.doi.org/10.1016/j.jpdc.2010.11.004.

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Yang, Xuechun, and Jiawei Liu. "Is Algorithm Killing News?Controversies and Breakout Strategies in Algorithmic News." Media Studies 1, no. 1 (2024): 8–16. http://dx.doi.org/10.70267/79gjv087.

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Traditional journalism is undergoing an algorithmic transformation. Nowadays, algorithmic news can be widely used as one of the main ways of information dissemination, but the controversy it brings is also increasingly prominent. In this article, the essence and formation mechanism of the controversy in algorithmic news are discussed in more detail by combing the related literature and analyzing the data of practical cases. It is found that the controversy of algorithmic news mainly originates from the issues of information filtering, recommendation bias and algorithm opacity. In addition, the

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22

Shyamini, T. S., and C. A. Rejuna. "Ripple Effect of Algorithmic Mechanism: Lessons from Global Gig Work Experience." International Journal of Social Science and Human Research 08, no. 05 (2025): 2699–707. https://doi.org/10.5281/zenodo.15354726.

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The growth of platform-based gig work has changed work experience of labour. The algorithmic systems now playing a central role in assigning, monitoring, and compensating workers in gig platforms. This article brings together global research to examine how these digital platforms are reshaping work, relationships, and inequalities with the use of algorithmic mechanism. The study focus on empirical findings which takes a step back to explore the bigger conceptual patterns and gaps in the literature surrounding algorithmic labour. The discussion is framed firstly on the control algorithms exert

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Rani, Uma, Rishabh Kumar Dhir, and Nora Gobel. "Delivery workers, trapped in an algorithmic system." Sociologia: Revista da Faculdade de Letras da Universidade do Porto, Tematico (2022): 11–31. http://dx.doi.org/10.21747/08723419/soctem2022a2.

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This article analyses the processes through which delivery workers are controlled by the algorithmic management practiceson deliveryplatforms. The article buildson the existing literature on algorithmic management and control, by identifying the different types of control mechanisms used by platforms to discipline delivery workers in developing countries. It drawson surveys conducted by the International Labour Organization with about 3000 platform delivery workers in elevendeveloping countries (Argentina, Chile, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, and Ukraine)to u

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Pliuskuvienė, Birutė, and Petras Adomėnas. "Data algorithmic dependencies and their features vicissitude in relation sets." Lietuvos matematikos rinkinys 45 (December 18, 2005): 160–66. http://dx.doi.org/10.15388/lmr.2005.26569.

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This article presents introduction of the new mechanism to the relation model, particularly algorithmic dependencies showing up among attributes, which are realization of concrete applicable task structured in primary data sets.The conception of algorithmic dependencies, classification, general expressions and changes are also defined.

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KOLESNIK, Georgii V. "The impact of digital platform pricing algorithms on market equilibrium." Financial Analytics: Science and Experience 17, no. 2 (2024): 143–61. http://dx.doi.org/10.24891/fa.17.2.143.

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Subject. The article discusses the penetration of platform technologies into markets, which results in changes in their structure and the nature of competition between participants, and leads to a redistribution of total wealth between producers and consumers of goods. Moreover, traditional market models can give incorrect estimates of equilibrium parameters, since they do not consider the specifics of pricing mechanisms used by platforms. Objectives. The study aims to assess redistribution of wealth caused by a change in the pricing mechanism from the classical market to the algorithmic one,

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Drewniak, Józef, Paulina Garlicka, Jerzy Kopeć, and Stanisław Zawiślak. "Dynamics of Linkage Mechanism Solved by Means of Contour Graphs and Bond Graphs." Solid State Phenomena 251 (July 2016): 224–29. http://dx.doi.org/10.4028/www.scientific.net/ssp.251.224.

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The dynamical analysis of a linkage mechanism is described in the paper. The contour graph method was utilized. The method allows for assigning a contour graph to a particular mechanism. In next step analysis is performed in algorithmic manner distinguishing the contours and generating kinematical and dynamical equations based upon theses contours. Decomposition of the system is utilized, therefore more simple subsystems are analyzed. Aggregated solution is compatible with all other classical methods however the approach is algorithmic and effective.

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Elkind, Edith, and Kevin Leyton-Brown. "Algorithmic Game Theory and Artificial Intelligence." AI Magazine 31, no. 4 (2010): 9. http://dx.doi.org/10.1609/aimag.v31i4.2310.

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We briefly survey the rise of game theory as a topic of study in artificial intelligence, and explain the term algorithmic game theory. We then de- scribe three broad areas of current inquiry by AI researchers in algorithmic game theory: game playing, social choice, and mechanism design. Finally, we give short summaries of each of the six articles appearing in this issue.

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Schellewald, Andreas. "Theorizing “Stories About Algorithms” as a Mechanism in the Formation and Maintenance of Algorithmic Imaginaries." Social Media + Society 8, no. 1 (2022): 205630512210770. http://dx.doi.org/10.1177/20563051221077025.

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In this article, I report from an ethnographic investigation into young adult users of the popular short-video app TikTok. More specifically, I discuss their experience of TikTok’s algorithmic content feed, or so-called “For You Page.” Like many other personalized online environments today, the For You Page is marked by the tension of being a mechanism of digital surveillance and affective control, yet also a source of entertainment and pleasure. Focusing on people’s sense-making practices, especially in relation to stories about the TikTok algorithm, the article approaches the discursive repe

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Jin, Xing, Mingchu Li, Xiaomei Sun, Cheng Guo, and Jia Liu. "Reputation-based multi-auditing algorithmic mechanism for reliable mobile crowdsensing." Pervasive and Mobile Computing 51 (December 2018): 73–87. http://dx.doi.org/10.1016/j.pmcj.2018.10.001.

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Lin, Wen, Song-nian Yu, and Qi Xiao. "Improved algorithmic mechanism based on game theory in computational grids." Journal of Shanghai University (English Edition) 11, no. 1 (2007): 68–73. http://dx.doi.org/10.1007/s11741-007-0112-3.

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31

Zhai, Anqi. "Trapped by Algorithms, Empowered by Leaders: Uncovering the Cognitive-Affective Costs of Algorithmic Management and the Buffering Role of Leader's Digital Empathy." Advances in Engineering Technology Research 14, no. 1 (2025): 804. https://doi.org/10.56028/aetr.14.1.804.2025.

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Based on the cognitive-affective system theory, this study explores the mechanism of employee performance erosion in algorithmic management contexts and the moderating role of leader's digital empathy. Through tracking surveys of frontline employees in digital enterprises in Beijing, Shanghai, and other regions, 424 valid samples were collected for empirical analysis. The findings indicate that employees’ perceived algorithmic control significantly negatively impacts job performance through the chained mediation path of "subjective liminality → emotional exhaustion."Leader's digital empathy mo

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H., Mariana C. "The ‘Information Loop’ Mechanism on Short Video Platforms: How Users Unconsciously Enter a State of Interest Solidification." Journal of Research in Social Science and Humanities 4, no. 3 (2025): 5–11. https://doi.org/10.56397/jrssh.2025.03.02.

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Short video platforms use algorithm-driven recommendations to enhance user engagement, but this creates an ‘information loop’, where users are repeatedly exposed to similar content, leading to interest solidification. This study examines how algorithmic filtering, user behavior, and psychological reinforcement contribute to content homogeneity, reinforcing cognitive biases, echo chambers, and reduced critical thinking. Data analysis shows that TikTok has a 67% content repetition rate, and algorithmic filtering can narrow content exposure within 15 minutes. Survey results indicate that 78% of u

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Georgiev, Dobrik, Pietro Barbiero, Dmitry Kazhdan, Petar Veličković, and Pietro Lió. "Algorithmic Concept-Based Explainable Reasoning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (2022): 6685–93. http://dx.doi.org/10.1609/aaai.v36i6.20623.

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Recent research on graph neural network (GNN) models successfully applied GNNs to classical graph algorithms and combinatorial optimisation problems. This has numerous benefits, such as allowing applications of algorithms when preconditions are not satisfied, or reusing learned models when sufficient training data is not available or can't be generated. Unfortunately, a key hindrance of these approaches is their lack of explainability, since GNNs are black-box models that cannot be interpreted directly. In this work, we address this limitation by applying existing work on concept-based explana

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Liu, Mi, and Xing Gu. "The Due Process Dilemma and Regulatory Path of Algorithmic Administration." Scientific Journal of Economics and Management Research 7, no. 5 (2025): 96–102. https://doi.org/10.54691/4f6xn252.

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In the context of the digital government's deepening development, algorithmic administration is reconstructing the paradigm of administrative power operation with the expansion of technological rationality, triggering a systemic crisis of the traditional due process principle. This paper deconstructs the tripartite procedural dilemmas in algorithmic administration, reveals the deep-seated contradictions such as the black box of technology leading to the idleness of the principle of procedural transparency,the algorithmic closed loop eroding the effectiveness of procedural participation, and th

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Cai, Yining, and Chen Wang. "Effect of Transparency of Algorithmic Performance Management on Proactive Work Behavior." International Journal of Asian Business and Information Management 15, no. 1 (2024): 1–17. http://dx.doi.org/10.4018/ijabim.348062.

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Algorithm transparency, as an important factor in explaining the algorithm black box, is attracting increasing attention from scholars on the impact of algorithm system transparency on employee behavior. This study aims to investigate the effect of algorithmic performance management transparency on employees' proactive work behavior and constructs a moderated mediation model. The model was tested with a sample of 321 employees from five high-tech companies in China. The results suggest that transparency of algorithmic performance management promotes employee proactive work behavior via employe

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Yaohui Wang. "The Hidden Rules of Win Rate Manipulation: A Study on Algorithmic Discrimination in the Matching Mechanism of MOBA Games—Taking Honor of Kings as an Example." Frontiers in Artificial Intelligence Research 2, no. 1 (2025): 58–75. https://doi.org/10.71465/fair248.

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With the prevalence of MOBA games such as Honor of Kings, the fairness of the algorithm in their matching mechanisms has sparked widespread controversy. This study uses this game as a case to explore whether algorithmic discrimination exists in its matching mechanism. Through stratified random sampling to obtain data from over 3,000 players, combined with questionnaires, controlled experiments, and quantitative analysis, it is found that game duration, recharge amount, and the number of consecutive wins/losses have a significant impact on players' win rates: there is a stepwise positive correl

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Bazueva, Elena V., Galina G. Modorskaya, and Marina A. Shchelkanova. "Cost management for importing equipment and its improvement with tailored supporting business processes at an enterprise." Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY 18, no. 2 (2023): 176–89. http://dx.doi.org/10.17072/1994-9960-2023-2-176-189.

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Introduction. These days, extra institutional restrictions call for new methods of managing the costs for importing equipment at the national enterprises.Purpose. The article aims to develop methodological cost management tools for importing mineral fertilizer equipment with tailored supporting business processesat the enterprises. Materials and Methods. Algorithmic and non-algorithmic approaches are applied to tailor businesses processes at an enterprise. Results.The article proposes an organization-based cost management mechanism for importing equipment with tailored supporting business proc

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Anandbabu, M. H., B. Palanichelvam, and R. Suganya. "Recovery Mutual Scheduling: A Decentralized Approach for Fault Recovery Mechanism in the Grid Computing." Applied Mechanics and Materials 573 (June 2014): 571–75. http://dx.doi.org/10.4028/www.scientific.net/amm.573.571.

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Grid computing is that the major analysis space wherever the distributed resources square measure used. In programming, the largest challenge is to amass optimum answer for the submitted jobs within the grid. For giant subtask need time intense computation, this paper introduces a replacement fault recovery mechanism into grid systems associated an thorough study on grid service. We have a tendency to propose a replacement algorithmic program on considering these factors. In our planned algorithmic program Recovery Mutual programming, a catalog is employed which is able to be responsive in acc

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Dixit, Aasheesh Kumar, Garima Shakya, Suresh Kumar Jakhar, and Swaprava Nath. "Algorithmic mechanism design for egalitarian and congestion-aware airport slot allocation." Transportation Research Part E: Logistics and Transportation Review 169 (January 2023): 102971. http://dx.doi.org/10.1016/j.tre.2022.102971.

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Elbassioni, Khaled, Kurt Mehlhorn, and Fahimeh Ramezani. "Towards More Practical Linear Programming-based Techniques for Algorithmic Mechanism Design." Theory of Computing Systems 59, no. 4 (2016): 641–63. http://dx.doi.org/10.1007/s00224-016-9704-2.

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JUNG, YUNGBUM, SOONHO KONG, CRISTINA DAVID, BOW-YAW WANG, and KWANGKEUN YI. "Automatically inferring loop invariants via algorithmic learning." Mathematical Structures in Computer Science 25, no. 4 (2014): 892–915. http://dx.doi.org/10.1017/s0960129513000078.

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By combining algorithmic learning, decision procedures, predicate abstraction and simple templates for quantified formulae, we present an automated technique for finding loop invariants. Theoretically, this technique can find arbitrary first-order invariants (modulo a fixed set of atomic propositions and an underlying satisfiability modulo theories solver) in the form of the given template and exploit the flexibility in invariants by a simple randomized mechanism. In our study, the proposed technique was able to find quantified invariants for loops from the Linux source and other realistic pro

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Walker, Sara Imari, and Paul C. W. Davies. "The algorithmic origins of life." Journal of The Royal Society Interface 10, no. 79 (2013): 20120869. http://dx.doi.org/10.1098/rsif.2012.0869.

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Although it has been notoriously difficult to pin down precisely what is it that makes life so distinctive and remarkable, there is general agreement that its informational aspect is one key property, perhaps the key property. The unique informational narrative of living systems suggests that life may be characterized by context-dependent causal influences, and, in particular, that top-down (or downward) causation—where higher levels influence and constrain the dynamics of lower levels in organizational hierarchies—may be a major contributor to the hierarchal structure of living systems. Here,

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Yan, Jingyi. "From Algorithmic Control to Psychological Motivation: Reflection and Reconstruction of Incentive Mechanisms for Platform Riders." Advances in Economics, Management and Political Sciences 207, no. 1 (2025): 8–15. https://doi.org/10.54254/2754-1169/2025.lh25609.

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This study examines the incentive dilemmas faced by food-delivery riders in the digital economy, focusing on how algorithmic management shapes workers psychology and behavior. Drawing on Self-Determination Theory and the crowding-out effect, it explores, via a literature review of journals, industry reports, how platform algorithms as forms of extrinsic motivation interact with riders intrinsic motivation. Through a labor-quota mechanism and the dispatch logic, platforms systematically suppress riders autonomy, alienate their sense of competence, and erode their relatedness, leading to a crowd

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Jaimes, Luis G., Craig White, and Paniz Abedin. "Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing." Sensors 24, no. 22 (2024): 7191. http://dx.doi.org/10.3390/s24227191.

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In this paper, we investigate whether greedy algorithms, traditionally used for pedestrian-based crowdsensing, remain effective in the context of vehicular crowdsensing (VCS). Vehicular crowdsensing leverages vehicles equipped with sensors to gather and transmit data to address several urban challenges. Despite its potential, VCS faces issues with user engagement due to inadequate incentives and privacy concerns. In this paper, we use a dynamic incentive mechanism based on a recurrent reverse auction model, incorporating vehicular mobility patterns and realistic urban scenarios using the Simul

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Bonsu, Kwadwo Osei. "Weighted Accuracy Algorithmic Approach in Counteracting Fake News and Disinformation." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 14, no. 1 (2021): 99–107. http://dx.doi.org/10.2478/ers-2021-0007.

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Abstract Subject and purpose of work: Fake news and disinformation are polluting information environment. Hence, this paper proposes a methodology for fake news detection through the combined weighted accuracies of seven machine learning algorithms. Materials and methods: This paper uses natural language processing to analyze the text content of a list of news samples and then predicts whether they are FAKE or REAL. Results: Weighted accuracy algorithmic approach has been shown to reduce overfitting. It was revealed that the individual performance of the different algorithms improved after the

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Li, Lei, and Chuyun Wang. "Regulating the Use of Artificially Intelligent Driving Algorithms Within the Artificial Intelligence & Internet of Things (AIoT)." International Journal of Computer Science and Information Technology 5, no. 2 (2025): 124–32. https://doi.org/10.62051/ijcsit.v5n2.15.

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The advancement of the underlying technology and hardware devices of the Internet of Things (IoT) has led to the emergence of several new applications that are influencing the progress of human society in the era of the Artificial Intelligence IoT (AIoT). The application of AIoT has not only revolutionized the efficiency of human social life but also brought about moral and ethical hazards as well as legal issues. At a technological level, the algorithmic mechanism of AI driving is more complex than typical machine learning and requires regulation because to its automated decision-making proce

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Zhu, Huiyi. "Risks and Countermeasures of Personal Information Processing in Minors’ Network Socialization." Law and Economy 4, no. 2 (2025): 58–67. https://doi.org/10.56397/le.2025.02.08.

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Minors experience network cognition, network imitation and network interaction in the algorithmic society. The invisible hand of algorithm is inseparable from every network action. When minors encounter algorithmic recommendation services on social media, their personal information is abused by the algorithm. The existing regulations for the protection of personal information based on algorithms have some problems, such as rigid age division of notification and consent mechanism and one-time notification and consent. In this regard, it is necessary to re-establish the risk assessment system fo

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Montoya, Andrés, Elkin Cruz, and Jesús Ágreda. "Computing the Parameter Values for the Emergence of Homochirality in Complex Networks." Life 9, no. 3 (2019): 74. http://dx.doi.org/10.3390/life9030074.

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The goal of our research is the development of algorithmic tools for the analysis of chemical reaction networks proposed as models of biological homochirality. We focus on two algorithmic problems: detecting whether or not a chemical mechanism admits mirror symmetry-breaking; and, given one of those networks as input, sampling the set of racemic steady states that can produce mirror symmetry-breaking. Algorithmic solutions to those two problems will allow us to compute the parameter values for the emergence of homochirality. We found a mathematical criterion for the occurrence of mirror symmet

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Povkhan, I. F., O. V. Mitsa, O. Y. Mulesa, and V. V. Polishchuk. "THE ALGORITHM TREE METHOD IN SOLVING THE TASK OF CLASSIFYING HYDROGRAPHIC DATA." Radio Electronics, Computer Science, Control, no. 4 (January 11, 2022): 78–94. http://dx.doi.org/10.15588/1607-3274-2021-4-8.

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Context. The work is dedicated to the identification of a simple and effective mechanism by which it is possible to build algorithmic classification trees (algorithmic tree models) on the basis of fixed initial information in the form of a discrete data training sample. The constructed algorithmic classification tree will unmistakably classify (recognize) the entire training sample on which the model is built, have a minimum structure (structural complexity) and consist of components – autonomous classification and recognition algorithms as the vertices of the structure (attributes of the tree

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Xiao, Caixing. "Research on Copyright Infringement Issues in Short Video Platforms in the Context of Algorithmic Recommendation." Advances in Social Behavior Research 13, no. 1 (2024): 40–43. https://doi.org/10.54254/2753-7102/2024.18248.

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Short video platforms face increasingly severe copyright infringement issues in the context of algorithmic recommendations. With the widespread application of algorithmic recommendation technology, platforms have gradually evolved from passive neutral intermediaries to active content managers, thereby intensifying the complexity of liability for infringements. Algorithmic recommendations are based on user behavior data and prioritize content with high engagement, often including unauthorized works, which leads to the spread of infringing content. This pseudo-neutrality strengthens the platform

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