The methods summarized in this video tutorial series are based on the open source Digital
Methods Initiative–Twitter Capture and Analysis Toolkit (DMI-TCAT) that allows media …

The study of social phenomena is becoming increasingly reliant on big data from online
social networks. Broad access to social media data, however, requires software …

This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the
research in generative methods for the analysis of social media data. It fills a void, as the …

Blogging has become a popular and convenient way to communicate, publish information,
share preferences, voice opinions, provide suggestions, report news, and form virtual …

This book draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the
research in generative methods for the analysis of social media data. It fills a void, as the …

Social media has become an important means to convey information. The microblogging
service Twitter with about 284 million users and currently over 500 million tweets per day is …

Effective employment of social media for any social influence outcome requires a detailed
understanding of the target audience. Social media provides a rich repository of self …

This paper explores whether influence can be quantified from public Twitter data. Compared
to other social media applications, Twitter is content-centered, rather than relationship …

One of the key limitations about research involving big data is the lack of a sound
methodological process that drives the conceptual and analytical questions posed to the …

Interest in Twitter data continues to grow, but for many the task of actually collecting and
analyzing data via Twitter APIs remains daunting. For example, in order to interact with …