A step towards automated tools to support science writing.

This blog post explains our paper, Writing Strategies for Science Communication: Data and Computational Analysis which was published this year in the Conference on Empirical Methods in Natural Language Processing (EMNLP). If you’re interested in the technical details of the work, feel free to check out our paper or the project’s github repo!

It’s important that the public gets trustworthy, understandable information about new scientific findings. But have you ever tried reading a scientific paper or talked to a scientist about their research? Chances are you and the scientist both left with a headache!

Many scientists would love to share…


Tal August

Online experimentation with volunteers relies on participants’ non-financial motivations to complete a study, such as to altruistically support science or to compare oneself to others. Researchers rely on these motivations to attract study participants and often use incentives, like performance comparisons, to encourage participation. Often, these study incentives are advertised using a slogan (e.g., “What is your thinking style?”). Research on framing effects suggests that advertisement slogans attract people with varying demographics and motivations. Could the slogan advertisements for studies risk attracting only specific users?

We investigated the existence of potential sample biases by measuring how different slogan…

Tal August

PhD Student at UW exploring ways of building writing tools to tailor language to better engage different audiences.

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