Sci-Blogger

Vadapalli, Raghuram; Syed, Bakhtiyar; Prabhu, Nishant; Srinivasan, Balaji Vasan; Varma, Vasudeva

doi:10.1145/3269206.3269303

Cited by 6 publications

(1 citation statement)

References 5 publications

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“…We selected popular science magazines since they target a more general audience, and scientific journal magazines as they often write to those involved in research, though not necessarily in the same domain (Nielsen and Schmidt Kjaergaard, 2011). The choices of website or publication we collected from each venue category were based either on previous work covering those categories (e.g., blog posts; Vadapalli et al, 2018) or as a convenience sample based on what was widely available. One note is that while past work has used the blogs sites we selected as sources for high quality science blogs (sciencedaily.com and phys.org), these sites also source a large portion of their content from press releases, often only changing headlines and lede sentences.…”

Section: Datasetmentioning

confidence: 99%

Writing Strategies for Science Communication: Data and Computational Analysis

August¹,

Kim²,

Reinecke³

et al. 2020

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Communicating complex scientific ideas without misleading or overwhelming the public is challenging. While science communication guides exist, they rarely offer empirical evidence for how their strategies are used in practice. Writing strategies that can be automatically recognized could greatly support science communication efforts by enabling tools to detect and suggest strategies for writers. We compile a set of writing strategies drawn from a wide range of prescriptive sources and develop an annotation scheme allowing humans to recognize them. We collect a corpus of 128K science writing documents in English and annotate a subset of this corpus. 1 We use the annotations to train transformer-based classifiers and measure the strategies' use in the larger corpus. We find that the use of strategies, such as storytelling and emphasizing the most important findings, varies significantly across publications with different reader audiences.

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Section: Datasetmentioning

confidence: 99%