Science on social media

Language Technology for Agile Social Media Science

We present an extension of the DUALIST tool that enables social scientists to engage directly with large Twitter datasets. Our approach supports collaborative construction of classifiers and associated gold standard data sets. The tool can be used to build classifier cascades that decomposes tweet streams, and provide analysis of targeted conversations. A central concern is to provide an enviro...

Social Media, Open Science, and Data Science Are Inextricably Linked

Should scientists use social media? Why practice open science? What is data science? Ten years ago, these phrases hardly existed. Now they are ubiquitous. Here I argue that these phenomena are inextricably linked and reflect similar underlying social and technological transformations.

Social Mechanics: An Empirically Grounded Science of Social Media

What will social media sites of tomorrow look like? What behaviors will their interfaces enable? A major challenge for designing new sites that allow a broader range of user actions is the difficulty of extrapolating from experience with current sites without first distinguishing correlations from underlying causal mechanisms. The growing availability of data on user activities provides new opp...

Towards the social media studies of science: social media metrics, present and future

In this paper we aim at providing a general reflection around the present and future of social media metrics (or altmetrics) and how they could evolve into a new discipline focused on the study of the relationships and interactions between science and social media, in what could be seen as the social media studies of science.

Social media and the science of health behavior.