The Ebola virus disease outbreak in West Africa (2013–2016) claimed over 10 000 lives in less than 18 months. Low levels of familiarity with the disease, ease of transmission, scale of infection, gruesomeness of symptoms, lack of cure and high fatality rate created a global panic. From the perspective of the social psychology of communication and content analysis, this study examines media coverage of the crisis in Africa with a view to unpacking the scientific and non-scientific information that may have framed public understanding of the disease. Findings show that accepting scientific
Girls met to engage with Through My Window twice each week after school. The afterschool program format provided a freer, less structured atmosphere than a classroom setting. Students extensively debated and investigated the questions and themes posed by the novel, Talk to Me. The meeting space had plenty of space for students to move around, as well as teachers who encouraged the expression of full emotional and intellectual enthusiasm for the story at hand.
East Longmeadow implemented Through My Window in two seventh grade classrooms, each teaching different subjects—creative reading and STEAM. Students used the print and audio versions of Talk to Me, and read or listened to the book independently and together, in class and at home. They also participated in both online and offline activities that, along with the book, helped them engage with ideas and propose solutions related to engineering challenges.
This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality
Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range