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Since November 2019 the international research project CS Track has been combining traditional social-science methods with web-based and computational analytics in order to systematically survey the field of Citizen Science. Based on our findings, we have now...
CS Track and ECSA teams are organising a half-day symposium under the theme "Understanding the nature of Citizen Science in a rapidly changing world" on 8 October, 9:00-13:00 CET in Berlin. This symposium aims at sharing these results and findings and discussing their...
We analysed 17,122 Citizen Science tweets filtered with Health keywords in order to answer the following questions: What are the most used hashtags in the e-Health discussion? Are hashtags normally used alone or alongside others on the same theme?
In this article, we analysed linkages between tweets and SDGs in our dataset by means of classification algorithms. In addition, the network of retweets for each SDG is provided.
Through this Twitter analysis it was possible to demonstrate that some SDGs are much more discussed than others among the Citizen Science community of Twitter.
Analysing the discourse in discussion forums of CS projects can help to understand underlying patterns of collaborative knowledge creation and to identify highly engaged users. We ask the question: What can the quantitative analysis of forum data tell us about these patterns?
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