M
Michael W. Macy
Researcher at Cornell University
Publications - 144
Citations - 17562
Michael W. Macy is an academic researcher from Cornell University. The author has contributed to research in topics: Cultural diversity & Social media. The author has an hindex of 44, co-authored 138 publications receiving 15440 citations. Previous affiliations of Michael W. Macy include Brookings Institution & Johns Hopkins University.
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Journal ArticleDOI
Computational Social Science
David Lazer,Alex Pentland,Lada A. Adamic,Sinan Aral,Sinan Aral,Albert-László Barabási,Devon Brewer,Nicholas A. Christakis,Noshir Contractor,James H. Fowler,Myron P. Gutmann,Tony Jebara,Gary King,Michael W. Macy,Deb Roy,Marshall Van Alstyne,Marshall Van Alstyne +16 more
TL;DR: In this article, a field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors at a large scale, such as behavior patterns.
Journal ArticleDOI
Complex Contagions and the Weakness of Long Ties
Damon Centola,Michael W. Macy +1 more
TL;DR: The strength of weak ties is that they tend to be long and connect socially distant locations, allowing information to diffuse rapidly as discussed by the authors, which may explain the widely observed tendency for social movements to diffuse spatially.
Proceedings Article
Automated Hate Speech Detection and the Problem of Offensive Language
TL;DR: This work used a crowd-sourced hate speech lexicon to collect tweets containing hate speech keywords and labels a sample of these tweets into three categories: those containinghate speech, only offensive language, and those with neither.
Journal ArticleDOI
FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling
Michael W. Macy,Robert Willer +1 more
TL;DR: Agent-based models (ABMs) as mentioned in this paper have been widely used in computational sociology to model social life as interactions among adaptive agents who influence one another in response to the influence they receive, such as diffusion of information, emergence of norms, coordination of conventions or participation in collective action.
Journal ArticleDOI
Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures
Scott A. Golder,Michael W. Macy +1 more
TL;DR: Individual-level diurnal and seasonal mood rhythms in cultures across the globe are identified, using data from millions of public Twitter messages, and it is found that individuals awaken in a good mood that deteriorating as the day progresses.