Search Results

Predicting customer quality in e-commerce social networks: a machine learning approach,
María Teresa Ballestar, Pilar Grau-Carles and Jorge Sainz, in Review of Managerial Science (2019)
Keywords: Cashback, Social network, E-commerce, Machine learning, Artificial neural network, Predictive model

Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting,
Jake Lever and Rossella Arcucci, in Journal of Computational Social Science (2022)
Keywords: Machine learning, Social media, Wildfires, Sentiment analysis, Twitter data, Satellite data

Measuring Human Capital with Social Media Data and Machine Learning,
Martina Jakob and Sebastian Heinrich, from University of Bern, Department of Social Sciences (2023)
Keywords: machine learning, social media data, education, human capital, indicators, natural language processing

Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model,
Xue Lin, Long Cheng, Shuo Zhang and Qianling Wang, in Mathematics (2023)
Keywords: gate machine; social force model; passage number; evacuation; crowd traffic

Enhancing the government accounting information systems using social media information: An application of text mining and machine learning,
Huijue Kelly Duan, Miklos A. Vasarhelyi, Mauricio Codesso and Zamil Alzamil, in International Journal of Accounting Information Systems (2023)
Keywords: Social media; Text mining; Machine learning; Sentiment analysis;

Generalizability of Machine Learning to Categorize Various Mental Illness Using Social Media Activity Patterns,
Chee Siang Ang and Ranjith Venkatachala, in Societies (2023)
Keywords: mental health; social media; machine learning; Twitter; Reddit

Exploiting social media with higher-order Factorization Machines: Statistical arbitrage on high-frequency data of the S&P 500,
Julian Knoll, Johannes Stübinger and Michael Grottke, from Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics (2017)
Keywords: finance, factorization machine, social media, statistical arbitrage, high-frequency data

Modeling social coupon redemption decisions of consumers in food industry: A machine learning perspective,
Pappu Kalyan Ram, Neeraj Pandey and Jinil Persis, in Technological Forecasting and Social Change (2024)
Keywords: Social coupon; Promotion; Redemption; Machine learning; Analytics; Decision tree;

Sweet, Fat and Salty: Snacks in Vending Machines in Health and Social Care Institutions in Slovenia,
Urška Rozman, Igor Pravst, Urška Pivk Kupirovič, Urška Blaznik, Primož Kocbek and Sonja Šostar Turk, in IJERPH (2020)
Keywords: snacks; vending machines; social care institutions; health care institutions; Slovenia

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification,
Hongzhou Shen, Yue Ju and Zhijing Zhu, in IJERPH (2023)
Keywords: social media; microblog; emergency information; machine learning; rule-based classification

India’s Electronic Voting Machines: Social Construction of a Controversy Surrounding a Frugal Innovation,
Maximilian Herstatt and Cornelius Herstatt, from Springer (2017)
Keywords: Frugal innovation, India, Electronic voting machines, Social construction of technology

PRAGMATIC ASPECT OF SOCIAL AND PERSONAL IDENTITY OF A PERSON,
Savchenkov, Alexander (Савченков, Александр), in Sotsium i vlast / Society and power (2017)
Keywords: social, personal, identity, social machines

Find who is doing social good: using machine learning to predict corporate social responsibility performance,
Jing Zhang, Minghao Zhu and Feng Liu, in Operations Management Research (2024)
Keywords: Corporate social responsibility, CEO characteristics, Firm characteristics, Determinant model, Machine learning, China

Machine Learning-Based Rumor Controlling,
Ke Su, Priyanshi Garg, Weili Wu and Ding-Zhu Du, from Springer (2023)
Keywords: Social networks, Rumor blocking, Machine learning

An intelligent social protection service beneficiary selection scheme using machine learning and a mobile application for social safety net program,
Md. Zanea Alam and Mahfuzulhoq Chowdhury, in International Journal of Data Analysis Techniques and Strategies (2024)
Keywords: social protection program; machine learning; eligibility prediction; beneficiary selection; old age allowance; poor people support; Android application.

Financial Market Predictions with Factorization Machines: Trading the Opening Hour Based on Overnight Social Media Data,
Johannes Stubinger, Dominik Walter and Julian Knoll, in The Economics and Finance Letters (2018)
Keywords: Finance, Social media data, Factorization Machine, Overnight information, Statistical arbitrage, High-frequency trading

Financial market predictions with Factorization Machines: Trading the opening hour based on overnight social media data,
Johannes Stübinger, Dominik Walter and Julian Knoll, from Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics (2017)
Keywords: finance, social media data, Factorization Machine, overnight information, statistical arbitrage, high-frequency trading

Developing a machine learning framework to determine the spread of COVID-19 in the USA using meteorological, social, and demographic factors,
Akash Gupta and Amir Gharehgozli, in International Journal of Data Mining, Modelling and Management (2022)
Keywords: COVID-19; disease spread; social and demographic factors; machine learning; epidemiology; predictive modelling.

Extreme learning machine and K-means clustering for the improvement of link prediction in social networks using analytic hierarchy process,
Gowri Thangam Jeyaraj and A. Sankar, in International Journal of Enterprise Network Management (2019)
Keywords: analytic hierarchy process; extreme learning machine; K-means clustering; social networks; link prediction; network management.

Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning – An assessment of technology, network, price and trialability,
Christofer Laurell, Christian Sandström, Adam Berthold and Daniel Larsson, in Journal of Business Research (2019)
Keywords: Virtual reality; Oculus rift; HTC vive; Social media analytics; Machine learning; Adoption;

A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning,
Utku Pamuksuz, Joseph T. Yun and Ashlee Humphreys, in Journal of Interactive Marketing (2021)
Keywords: Brand personality; Social media networks; Data analytics; Machine learning; Word embeddings; Document embeddings; Transformers; LDA2Vec;

Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media,
Susan A.M. Vermeer, Theo Araujo, Stefan F. Bernritter and Guda van Noort, in International Journal of Research in Marketing (2019)
Keywords: eWOM; Webcare; Social media; Digital marketing strategies; Automated content analysis; Sentiment analysis; Machine learning;

Using HJ-Biplot and External Logistic Biplot as Machine Learning Methods for Corporate Social Responsibility Practices for Sustainable Development,
Joel A. Martínez-Regalado, Cinthia Leonora Murillo-Avalos, Purificación Vicente-Galindo, Mónica Jiménez-Hernández and José Luis Vicente-Villardón, in Mathematics (2021)
Keywords: machine learning; multivariate analysis; HJ-Biplot; external logistic biplot; corporate social responsibility (CSR); sustainable development

Using social media, machine learning and natural language processing to map multiple recreational beneficiaries,
Arjan S. Gosal, Ilse R. Geijzendorffer, Tomáš Václavík, Brigitte Poulin and Guy Ziv, in Ecosystem Services (2019)
Keywords: Cultural Ecosystem Services; Machine learning; Self-organising maps; Social media; Recreation; Beneficiaries;

Corporate social responsibility in family business: Using machine learning to uncover who is doing good,
Feng Liu, Wanying Huang, Jing Zhang and Mingjie Fang, in Technology in Society (2024)
Keywords: Corporate social responsibility; Family business; Firm characteristics; CEO characteristics; Machine learning;

Towards a precise understanding of social entrepreneurship: An integrated bibliometric–machine learning based review and research agenda,
Vineet Kaushik, Shobha Tewari, Sreevas Sahasranamam and Pradeep Kumar Hota, in Technological Forecasting and Social Change (2023)
Keywords: Social entrepreneurship; Literature review; Bibliometric analysis; Unsupervised machine learning; Topic modeling; Latent Dirichlet Allocation (LDA);

Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring,
Clemens Havas and Bernd Resch, in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards (2021)
Keywords: Social media, Disaster management, Machine learning, Semantic topic analysis, Geospatial analysis

Supervised Machine Learning Methods to Disclose Action and Information in “U.N. 2030 Agenda” Social Media Data,
Andrea Sciandra, Alessio Surian and Livio Finos, in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement (2021)
Keywords: Supervised machine learning, Textual data analysis, Sustainable development goals, Social media

Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators,
Carlo Drago, Loris Di Nallo and Maria Lucetta Russotto, from Fondazione Eni Enrico Mattei (2023)
Keywords: Social Index, Sustainable Banking, ESG, Monte-Carlo Simulation, Machine Learning, Interval-based Composite Indicators

Social Simulation Models as Refuting Machines,
Nicolas Mauhe, Luis R. Izquierdo and Segismundo S. Izquierdo, in Journal of Artificial Societies and Social Simulation (2023)
Keywords: Social Simulation, Computer Simulation, Refutation, Modelling, Counter-Example, Markov Chain

Internet Services and Social Networks in the Greek Academia,
Dionysios Fragkopoulos, from Springer (2019)
Keywords: Social networking sites, Social machines, Greece, Academia

Voting: A machine learning approach,
Dávid Burka, Clemens Puppe, László Szepesváry and Attila Tasnádi, from Karlsruhe Institute of Technology (KIT), Department of Economics and Management (2020)
Keywords: voting, social choice, neural networks, machine learning, Borda count

Modeling Economic Choice under Radical Uncertainty: Machine Learning Approaches,
Anton Gerunov, from University Library of Munich, Germany (2016)
Keywords: choice, decision-making, social network, machine learning

Innovation networks embedded with social capital for the sustainable development of machine tools industry,
Cheng-Wen Lee, in International Journal of Sustainable Economy (2013)
Keywords: discontinuous innovations; innovation networks; social capital; machine tools; technological improvements; technological change; innovative insights; innovative capacities; innovative relationships; network barriers; Taiwan; SEM; structural equation modelling; strategic perspectives; sustainability; sustainable development; sustainable economy.

CnSR: Exploring Consumer Social Responsibility Using Machine Learning-Based Topic Modeling with Natural Language Processing,
Jisu Jang and Jiyun Kang, in Sustainability (2023)
Keywords: consumer social responsibility; fashion; sustainable consumption; machine learning; natural language processing; latent Dirichlet allocation; topic modeling; textual data; Python

Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies,
Lirong Hu, Shenjing He, Zixuan Han, He Xiao, Shiliang Su, Min Weng and Zhongliang Cai, in Land Use Policy (2019)
Keywords: Housing rental price; Social media; Hedonic model; Multilevel determinants; Machine learning; Equitable housing policies;

Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets,
Nhung Nghiem, June Atkinson, Binh P. Nguyen, An Tran-Duy and Nick Wilson, in Health Economics Review (2023)
Keywords: Machine learning, High-cost users, CVD cost prediction, Health and social administrative data, New Zealand

Machine learning, artificial neural networks and social research,
Giovanni Di Franco and Michele Santurro, in Quality & Quantity: International Journal of Methodology (2021)
Keywords: Machine learning, Deep learning Artificial neural network, Supervised learning, Linear models, Nonlinear models

Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment About Older Adults and COVID-19 Using Machine Learning,
Xiaoling Xiang, Xuan Lu, Alex Halavanau, Jia Xue, Yihang Sun, Patrick Ho Lam Lai, Zhenke Wu and Deborah S Carr, in The Journals of Gerontology: Series B (2021)
Keywords: Ageism, COVID-19, machine learning, social media, Twitter

Orthogonalization and machine learning methods for residential energy estimation with social and economic indicators,
Abiola S. Lawal, Joseph L. Servadio, Tate Davis, Anu Ramaswami, Nisha Botchwey and Armistead G. Russell, in Applied Energy (2021)
Keywords: Residential energy estimation; Machine learning; Predictive models;

Convergences in cognitive science, social network analysis, pattern recognition and machine intelligence as dynamic processes in non-Euclidean space,
Joseph Woelfel, in Quality & Quantity: International Journal of Methodology (2020)
Keywords: Machine intelligence, Neural network, Multidimensional scaling, Social network analysis, Galileo theory, Multidimensional space, Non-Euclidean space, Artificial intelligence, Inertial reference frame

The applicability of growth machine theory to the knowledge economy,
Kenneth Chilton and Kyujin Jung, in International Journal of Social Economics (2018)
Keywords: Social network analysis, Knowledge economy, Civic infrastructure, Growth machine theory

Machine Learning,
David A. Price, in Econ Focus (2018)
Keywords: Machine learning

Machine Learning Methods to Predict Social Media Disaster Rumor Refuters,
Shihang Wang, Zongmin Li, Yuhong Wang and Qi Zhang, in IJERPH (2019)
Keywords: rumor refutation; disaster-related; NLP; machine learning; XGBoost; group behavior

Voting: A machine learning approach,
Dávid Burka, Clemens Puppe, László Szepesváry and Attila Tasnádi, in European Journal of Operational Research (2022)
Keywords: Group decisions and negotiations; Voting; Social choice; Neural networks; Machine learning; Borda count;

Modelling Societal Knowledge in the Health Sector: Machine Learning and Google Trends,
Gabriele De Luca, in Journal of Innovation Economics (2021)
Keywords: Social Cognition, Knowledge Society, Health, Google Trends, Restricted Boltzmann Machine

The displacement of reality tests. The selection of individuals in the age of machine learning,
Dominique Cardon and Jean-Marie John-Mathews, from HAL (2023)
Keywords: Selection tests,Machine learning,Artificial intelligence,Boltanksi,Social theory

Tension in big data using machine learning: Analysis and applications,
Huamao Wang, Yumei Yao and Said Salhi, in Technological Forecasting and Social Change (2020)
Keywords: Big data; Machine learning; Data size; Prediction accuracy; Social media;

Brand personality management of Indian business schools on Twitter: a machine learning approach,
V. Anand and Daruri Venkata Srinivas Kumar, in International Journal of Internet Marketing and Advertising (2024)
Keywords: business school; internet brand personality; social media; Twitter; machine learning.

Machine learning as an early warning system to predict financial crisis,
Aristeidis Samitas, Elias Kampouris and Dimitris Kenourgios, in International Review of Financial Analysis (2020)
Keywords: Financial crisis; Social network analysis; Contagion; Forecasting; Machine learning;

Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches,
Nabila Mohamad Sham and Azlinah Mohamed, in Sustainability (2022)
Keywords: climate change; sentiment analysis; lexicon; machine learning; social media

Identifying early help referrals for local authorities with machine learning and bias analysis,
Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller and Georgina Cosma, in Journal of Computational Social Science (2024)
Keywords: Machine learning, Social care, Bias analysis, Early help services

Individual-level social influence identification in social media: A learning-simulation coordinated method,
Zhen-Yu Chen, Zhi-Ping Fan and Minghe Sun, in European Journal of Operational Research (2019)
Keywords: Data mining; Social influence; Causal inference; Social media; Machine learning;

A Hands-On Machine Learning Primer for Social Scientists: Math, Algorithms and Code,
Nikos Askitas and Nikolaos Askitas, from CESifo (2024)
Keywords: machine learning, deep learning, supervised learning, artificial neural network, perceptron, Python, keras, tensorflow, universal approximation theorem

A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code,
Nikos Askitas, from Institute of Labor Economics (IZA) (2024)
Keywords: machine learning, deep learning, supervised learning, artificial neural network, perceptron, Python, keras, tensorflow, universal approximation theorem

Handmade vs. machine-made: the effects of handmade gifts on social relationships,
Xiaoming Fan, Anqi Lai and Hean Tat Keh, in Marketing Letters (2024)
Keywords: Handmade, Social relationships, Uniqueness, Social class

Predicting Retirement and Social Security Claiming Decisions using Machine Learning,
Alexander Kwon and Lilia Maliar, from C.E.P.R. Discussion Papers (2024)
Keywords: retirement and Social Security

Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages,
Thomas Renault, from HAL (2020)
Keywords: Social media,StockTwits,Sentiment analysis,Machine learning,Asset pricing

Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages,
Thomas Renault, from HAL (2020)
Keywords: Social media,StockTwits,Sentiment analysis,Machine learning,Asset pricing

Towards detection of phishing websites on client-side using machine learning based approach,
Ankit Kumar Jain and B. B. Gupta, in Telecommunication Systems: Modelling, Analysis, Design and Management (2018)
Keywords: Phishing attack, Social engineering, Website, Machine learning, Hyperlink

Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages,
Thomas Renault, in Digital Finance (2020)
Keywords: Social media, StockTwits, Sentiment analysis, Machine learning, Asset pricing

Trust assessment in social networks,
Vikash and T. V. Vijay Kumar, in International Journal of System Assurance Engineering and Management (2024)
Keywords: Veracity, Trust, Social networks, Trust assessment, Machine learning

Using Artificial Intelligence on Social Media’s User Generated Content for Disruptive Marketing Strategies in eCommerce Abstract. This study examines how user-generated content on social media can act as a marketing research instrument in identifying consumer behaviour. The analysis was performed on a sample of 900 Instagram images containing the hashtag #thegoodlife and labeled the digital photos using a machine learning algorithm. The results highlight the visual representation of the clusters resulted using the K-mean method and practical managerial implications,
Marius Geru, Angela Eliza Micu, Alexandru Capatina and Adrian Micu, in Economics and Applied Informatics (2018)
Keywords: Machine learning, social media, clustering, Instagram, digital marketing, user generated content

Prediction of Controversies and Estimation of ESG Performance: An Experimental Investigation Using Machine Learning,
Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman and Presha Neidermeyer, from Springer (2023)
Keywords: Artificial Intelligence, Controversies, Corporate Social Performance, ESG, Machine Learning, Socially Responsible Investment

Viewing machines as humans but humans as machines? Social connectedness shapes the robot anthropomorphism-dehumanization link,
Jianning Dang and Li Liu, in Technological Forecasting and Social Change (2024)
Keywords: Anthropomorphism; Dehumanization; Social connectedness; Human−robot relationships;

Public Discourse Surrounding Suicide during the COVID-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period,
Shu Rong Lim, Qin Xiang Ng, Xiaohui Xin, Yu Liang Lim, Evelyn Swee Kim Boon and Tau Ming Liew, in IJERPH (2022)
Keywords: suicide; COVID-19; strain theory; machine learning; topic modelling; social media

Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0,
Andrius Grybauskas, Alessandro Stefanini and Morteza Ghobakhloo, in Technology in Society (2022)
Keywords: Industry 4.0; Social sustainability; Machine learning; Job market; Labor skills; Industry 5.0;

Machine Learning: An Introduction for Economists,
Zarak Jamal Khan, from Pakistan Institute of Development Economics (2021)
Keywords: Machine Learning,

Fiscal Rules' Compliance and Social Welfare,
Kea Baret, in Annals of Economics and Statistics (2023)
Keywords: Fiscal Rules Compliance, Social Welfare, Fiscal Surveillance, Machine Learning

Fiscal rules’ compliance and Social Welfare,
Kea Baret, from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg (2021)
Keywords: Fiscal rules’ compliance; Social Welfare; Fiscal Surveillance; Machine learning.

Fiscal rules’ compliance and Social Welfare,
Kea Baret, from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg (2021)
Keywords: Fiscal rules’ compliance; Social Welfare; Fiscal Surveillance; Machine learning.

Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models,
Theyazn H. H. Aldhyani, Saleh Nagi Alsubari, Ali Saleh Alshebami, Hasan Alkahtani and Zeyad A. T. Ahmed, in IJERPH (2022)
Keywords: machine learning; artificial intelligence; suicidal ideation; LIWC-22

Assessment of the state of machine-building industry in Ukraine,
Kyrylenko Liana and Shmyhol’ Nadiya, in Technology audit and production reserves, 1(39) 2018 (2018)
Keywords: machine-building enterprises; industrial index; production volumes; social and economic development of Ukraine

A machine learning-based recommendation model for bipartite networks,
Ozge Kart, Oguzhan Ulucay, Berkay Bingol and Zerrin Isik, in Physica A: Statistical Mechanics and its Applications (2020)
Keywords: Recommendation model; Link prediction; Social network; Network similarity metric; Random walk; Machine learning;

The "Washing Machine": Investment Strategies and Corporate Behavior with Socially Responsible Investors,
Christian Gollier and Sébastien Pouget, from Toulouse School of Economics (TSE) (2014)
Keywords: Asset pricing; corporate social responsibility; socially responsible investments; corporate engagement; shareholder activism

The "Washing Machine": Investment Strategies and Corporate Behavior with Socially Responsible Investors,
Christian Gollier and Sébastien Pouget, from Institut d'Économie Industrielle (IDEI), Toulouse (2014)
Keywords: Asset pricing; corporate social responsibility; socially responsible investments; corporate engagement; shareholder activism

Authorship Attribution of Social Media and Literary Russian-Language Texts Using Machine Learning Methods and Feature Selection,
Anastasia Fedotova, Aleksandr Romanov, Anna Kurtukova and Alexander Shelupanov, in Future Internet (2021)
Keywords: authorship identification; natural language processing; machine learning; deep neural networks; fastText; support vector machine; genetic algorithms

Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach,
Yingheng Zhang, Haojie Li and Gang Ren, in Transportation Research Part A: Policy and Practice (2022)
Keywords: Public transportation; Night-time transport services; Difference-in-differences; Causal machine learning; Double/debiased machine learning;

Bio, psycho, or social: supervised machine learning to classify discursive framing of depression in online health communities,
Renáta Németh, Fanni Máté, Eszter Katona, Márton Rakovics and Domonkos Sik, in Quality & Quantity: International Journal of Methodology (2022)
Keywords: Supervised machine learning, Online forums, Natural language processing, Framing of depression, Gradient boosting machine, Transformer-based model

Social networks and consumer behavior: Evidence from Yelp,
Hao Fe, in Journal of Economic Behavior & Organization (2023)
Keywords: Machine learning; Causal effects; Social networks; Consumer behavior;

Monitoring Environmental Quality by Sniffing Social Media,
Zhibo Wang, Lei Ke, Xiaohui Cui, Qi Yin, Longfei Liao, Lu Gao and Zhenyu Wang, in Sustainability (2017)
Keywords: social media; environmental quality; environment monitoring; Support Vector Machine (SVM)

Mining Social Networks to Detect Traffic Incidents,
Sebastián Vallejos, Diego G. Alonso, Brian Caimmi, Luis Berdun, Marcelo G. Armentano and Álvaro Soria, in Information Systems Frontiers (2021)
Keywords: Social networks, Natural language processing, Machine learning, Traffic incident detection

Raging Against the Machine: Network Gatekeeping and Collective Action on Social Media Platforms,
Sarah Myers West, in Media and Communication (2017)
Keywords: collective action; content moderation; network gatekeeping; platforms; social media

Must social performance ratings be idiosyncratic? An exploration of social performance ratings with predictive validity,
Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Frank Maisano and Mats Danielson, in Sustainability Accounting, Management and Policy Journal (2023)
Keywords: Artificial intelligence, Machine learning, ESG, Social performance indicators, Weighting problem, Social controversies, Socially responsible investment

The Metaphor of the Machine,
Stefano Fiori, from Springer (2021)
Keywords: Metaphor of the machine, Balance, Mandeville, Beauty of order, Economic system as machine

Artificial Intelligence and Social Responsibility,
Kristijan Krkač and Ivana Bračević, from Springer (2021)
Keywords: Artificial intelligence, Robotics, Morality, Ethics, Social responsibility, Corporate social responsibility, Robot ethics, Machine ethics

Explainable artificial intelligence modeling for corporate social responsibility and financial performance,
Julien Lachuer and Sami Ben Jabeur, from HAL (2022)
Keywords: corporate social responsibility,financial performance,machine learning,stakeholder

Eliciting brand-related social media engagement: A conditional inference tree framework,
Bruno Schivinski, in Journal of Business Research (2021)
Keywords: CBBE; COBRAs; Social media; Machine learning; Typology; Consumer brand engagement;

Corporate social responsibility and trade credit: the role of textual features,
Baojun Ma, Jingxia He, Hui Yuan, Jian Zhang and Chi Zhang, in Journal of Electronic Business & Digital Economics (2022)
Keywords: Corporate social responsibility, Sentiment analysis, Readability, Trade credit, Machine learning

Psychological Disorder Identifying Method Based on Emotion Perception over Social Networks,
Tie Hua Zhou, Gong Liang Hu and Ling Wang, in IJERPH (2019)
Keywords: psychological disorder; emotion perception; sentiments distribution; social network; machine learning