Mapping Lexical Innovation on American Social Media

Social Media and Innovation Ecosystems

Lifetime Lexical Variation in Social Media

As the rapid growth of online social media attracts a large number of Internet users, the large volume of content generated by these users also provides us with an opportunity to study the lexical variation of people of different ages. In this paper, we present a latent variable model that jointly models the lexical content of tweets and Twitter users’ ages. Our model inherently assumes that a ...

Diffusion of Lexical Change in Social Media

Computer-mediated communication is driving fundamental changes in the nature of written language. We investigate these changes by statistical analysis of a dataset comprising 107 million Twitter messages (authored by 2.7 million unique user accounts). Using a latent vector autoregressive model to aggregate across thousands of words, we identify high-level patterns in diffusion of linguistic cha...

Social Media: A TOOL FOR OPEN INNOVATION

Despite the exponential rise of social media use in external stakeholder engagement, academic research and managerial practice have paid little attention to how it can be used for open innovation across the entire innovation funnel, spanning ideation, R&D, and commercialization. As a result, there is little understanding of how companies can organize for and implement social media for open inno...

Evaluating a Passive Social Media Citizensourcing Innovation

Governments initially used social media mainly in order to disseminate information to the public about their activities, services, policies and plans. Then they started using social media also in order to collect from citizens useful information, knowledge, opinions and ideas concerning the problems and needs of modern societies and more recently in order to apply crowdsourcing ideas in the pub...