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Twitter at scientific conferences
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Twitter at scientific conferences

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This paper reports on an experience undertook by a small research team at Padova University at an astronomy conference at the Genova annual Festival of Science 2011. Our intent was to use Twitter to ...

This paper reports on an experience undertook by a small research team at Padova University at an astronomy conference at the Genova annual Festival of Science 2011. Our intent was to use Twitter to promote the event through totally new categories of possible interested audiences, to engage them, and to fine-tune the communication. To get acquainted with the hypothetical audience’s favorite issues we investigated Twitter‘s backchannel and focused our search on the keywords related both to the lecture topic and to the most popular hashtags used by influential tweeters. We threaded and tagged conversations, shared URLs to a dedicated website we designed for in-depth discussion of some selected topics, and polled people to find out their knowledge of the session topic and to generate stronger engagement. The results were encouraging, we reached a huge amount of interested people we would not have found with traditional audience segmentation methods and we have been able to find out their interests to fine-tune the lecture main topic.

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  • SLIDE 1
    How to engage a wider and different audience using Twitter at Scientific Conferences
    Cristina Rigutto
    associated INAF National Institute of Astrophysics, Astronomic Observatory of Padova, Italy
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  • SLIDE 2
    I report on an experience undertaken by a small research team at the University of Padova with the contribution of National Institute of Astrophysics, that has been designed to ease scientists to communicate to people inside and outside their fields of expertise, mining Twitter conversations-
    Our intent was to promote an astronomy conference at the Genova annual Festival of Science through totally new categories of possible interested audiences, and to engage them encouraging information exchange to better understand their cultural interests to tailor the communication accordingly and get to discuss subjects more broadly. Because of the large number of data involved, Twitter mining is known for being very expensive, so that we decided to perform our work using free tools.
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