First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet. Since its start in May 1996, First Monday has published 1,270 papers in 204 issues; these papers were written by 1,703 different authors. First Monday is indexed in Communication Abstracts, Computer & Communications Security Abstracts, DoIS, eGranary Digital Library, INSPEC, Information Science & Technology Abstracts, LISA, PAIS, and other services.
|This month: May 2013|
Mapping the global Twitter heartbeat: The geography of Twitter
In just under seven years, Twitter has grown to count nearly three percent of the entire global population among its active users who have sent more than 170 billion 140–character messages. With its open API, Twitter has become one of the most popular data sources for social research, yet the majority of the literature has focused on it as a text or network graph source, with only limited efforts to date focusing exclusively on the geography of Twitter. More than three percent of all tweets are found to have native location information available, while a naive geocoder based on a simple major cities gazetteer and relying on the user–provided Location and Profile fields is able to geolocate more than a third of all tweets with high accuracy when measured against the GPS–based baseline. Geographic proximity is found to play a minimal role both in who users communicate with and what they communicate about, providing evidence that social media is shifting the communicative landscape.
|Also this month!|
Navigating an imagined Middle-earth
The proliferation of social media brings new opportunities to discover the ways in which we receive, process, and disseminate information — even information that seems confined to our imaginations. Mental imagery — those images we create in our imaginations as we read a text or watch a film — is not well understood. Netlytic, a Web–based system for automated text analysis, permitted the capture and analysis of online discussions relating to mental images of J.R.R. Tolkien’s and Peter Jackson’s The Lord of the Rings as text and as film adaptation, giving insight to our understanding of mental imagery as a form of human cognition and information processing. Furthermore, this study serves as a starting point for further development of academic research using Web–based text analysis systems and online communities.
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