What is he best known for?
The fields of study he is best known for:
- Law
- Social science
- Social psychology
His primary areas of study are Social psychology, Microeconomics, Dilemma, Interpersonal ties and Complex contagion.
Social psychology is often connected to Excellence in his work.
His study looks at the relationship between Microeconomics and topics such as Collective action, which overlap with Public good.
His work deals with themes such as Norm, Deviance, Computational model and Law and economics, which intersect with Dilemma.
His research integrates issues of Embeddedness, Stochastic game, Economic geography and Social control in his study of Interpersonal ties.
He interconnects Social movement, Complex network, Social link and Topology in the investigation of issues within Complex contagion.
His most cited work include:
- Computational Social Science (2261 citations)
- FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling (1034 citations)
- Complex Contagions and the Weakness of Long Ties (1001 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Social psychology, Social media, Social dilemma, Homophily and Social influence.
His study looks at the relationship between Social psychology and fields such as Politics, as well as how they intersect with chemical problems.
His research in Social media tackles topics such as Data science which are related to areas like Big data and Social relation.
His Homophily research includes themes of Machine learning, Cultural diversity and Artificial intelligence.
His Social influence research integrates issues from Emotional contagion and Economic geography.
He works mostly in the field of Social exchange theory, limiting it down to topics relating to Collective action and, in certain cases, Public good, Social identity theory, Rationality and Interpersonal ties.
He most often published in these fields:
- Social psychology (28.57%)
- Social media (9.52%)
- Social dilemma (8.84%)
What were the highlights of his more recent work (between 2016-2020)?
- Social media (9.52%)
- Artificial intelligence (6.80%)
- Classifier (4.08%)
In recent papers he was focusing on the following fields of study:
Michael W. Macy spends much of his time researching Social media, Artificial intelligence, Classifier, Homophily and Machine learning.
His biological study spans a wide range of topics, including Empirical reality, Gross domestic product, Convergence and Data science.
His work in the fields of Artificial intelligence, such as Inference and Cluster analysis, overlaps with other areas such as Adjacency matrix, Node and Process.
His study in Classifier is interdisciplinary in nature, drawing from both Supervised learning, Offensive and Lexicon.
His work carried out in the field of Homophily brings together such families of science as Peer effects, Centrality, Social network, Adolescent smoking and Social status.
Michael W. Macy focuses mostly in the field of Social network, narrowing it down to topics relating to Early adopter and, in certain cases, Internet privacy.
Between 2016 and 2020, his most popular works were:
- Automated Hate Speech Detection and the Problem of Offensive Language (519 citations)
- Automated Hate Speech Detection and the Problem of Offensive Language (249 citations)
- Millions of online book co-purchases reveal partisan differences in the consumption of science (96 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Social psychology
Social media, Voice activity detection, Supervised learning, Offensive and Lexicon are his primary areas of study.
His studies deal with areas such as Social integration, Interpersonal relationship, Cultural diversity and Scale as well as Social media.
His Voice activity detection research incorporates Classifier, Speech recognition, Artificial intelligence and Natural language processing.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
