Literature DB >> 23825297

The half-life of a "teachable moment": The case of Nobel laureates.

Ayelet Baram-Tsabari1, Elad Segev2.   

Abstract

Some science-related events stimulate public interest, and create a teachable moment in which the underlying science temporarily becomes more interesting. Here, media attention, expressed by Google News reference volume, and changes in information seeking behavior, expressed by Google Trends, were used to estimate the length of a teachable moment for 2004-2011 Nobel Prize announcements. On average, Nobel Prize announcements attracted the attention of online users for no longer than a week. News coverage declined slower and occasionally displayed seasonal trends. There was a 50% drop in searches between the day of the announcement and the following day, and an analogous pattern for news coverage of all laureates varying for different disciplines. The affordances of using publicly available online data to identify the most effective teachable moments relating to science are discussed.
© The Author(s) 2013.

Keywords:  Google; Nobel Prize; data mining; media effect; quantitative analysis; teachable moment

Mesh:

Year:  2013        PMID: 23825297     DOI: 10.1177/0963662513491369

Source DB:  PubMed          Journal:  Public Underst Sci        ISSN: 0963-6625


  2 in total

1.  Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERN's Social Media Platforms.

Authors:  Kate Kahle; Aviv J Sharon; Ayelet Baram-Tsabari
Journal:  PLoS One       Date:  2016-05-27       Impact factor: 3.240

2.  The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks.

Authors:  Mirko Kämpf; Eric Tessenow; Dror Y Kenett; Jan W Kantelhardt
Journal:  PLoS One       Date:  2015-12-31       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.