Robin Haunschild and Lutz Bornmann discuss their recent findings on how retracted papers were talked about on the social media platform Twitter and how this can be mapped onto the eventual retraction notices of these articles.
A new machine learning tool can detect and classify different strengths of Islamophobic hate speech on Twitter. Bertie Vidgen and Taha Yasseri explain their processes in creating a new tool that detects Islamophobic hate speech on Twitter.
The pool of PhDs and postdocs has expanded far more rapidly than the long-term career opportunities in higher education, a situation Charles Ponzi would have recognized- and which Felicity Callard captured with a late-November tweet.
Social Science Bites, a series of interviews with leading social scientists, reached a milestone with its 50th podcast — Gary King on Big Data Analysis — in March 2017. This Storify of tweets presents a memorable quote from each of those first 50 interviews.
Two of the authors of case study on using Twitter for research describe the ethical challenges of working in a rapidly changing landscape, why it’s important to be able to visualize what your analysis is finding, and why it’s important not to let your analysis be derived from some sort of ‘black box’ that you as the researcher don’t fully understand.
Mylynn Felt, author of a popular paper on social media and the social sciences, hopes to see a growing blend of established qualitative techniques with newly emerging big data research methods in future social science work.
In recent years, social media has changed the way that companies and customers interact. For many companies, social media platforms like Facebook […]
Several public health researchers are intrigued about the possibility of using Twitter for important surveys. Might what’s true forthem also work in the social sciences?
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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