![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Computer Laboratory Systems Research Group Seminar > Media landscape in Twitter: A world of new conventions and political diversity
Media landscape in Twitter: A world of new conventions and political diversityAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Eiko Yoneki. We present a preliminary but groundbreaking study of the media landscape of Twitter. We use public data on whom follows who to uncover common behaviour in media consumption, the relationship between various classes of media, and the diversity of media content which social links may bring. Our analysis shows that there is a non-negligible amount of indirect media exposure, either through friends who follow particular media sources, or via retweeted messages. We show that the indirect media exposure expands the political diversity of news to which users are exposed to a surprising extent, increasing the range by between 60-98%. These results are valuable because they have not been readily available to traditional media, and they can help predict how we will read news, and how publishers will interact with us in the future. This talk is part of the Computer Laboratory Systems Research Group Seminar series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsBook Launches Homerton Seminars CAPE-CIKC Advanced Technology LecturesOther talksThe Intimate Relation between Mechanics and Geometry Regulation of progenitor cells in adult lung and in lung cancer St Catharine’s Political Economy Seminar - ‘Global Imbalances and Greece's Exit from the Crisis’ by Dimitrios Tsomocos My VM is Lighter (and Safer) than your Container Atmospheric Structure Revealed by Refraction of Routine Radio Transmissions from Civil Aircraft. CANCELLED: The cognitive neuroscience of antidepressant drug action |