A space to explore, share and shape the issues facing social and behavioral scientists
Marilyn Poon, research assistant in the Department of Organization Studies at the University of Innsbruck Austria, discusses leadership research and […]
In a video interview hosted by Social Science Space sister site Methodspace, Stu Shulman, a social media researcher and the founder and CEO of Textifter, joined interviewer Janet Salmons to discuss the future of academic Twitter.
The fate of Twitter has been a pressing issue in the past weeks. Here, Andy Tattersall argues that whilst individual academics could quite easily leave the platform, the centrality of Twitter to academic institutions makes a wholesale departure unlikely.
After much speculation, Twitter has been acquired by Elon Musk. In this post, Mark Carrigan asks, if now is the time to rethink academic twitter by separating out the knowledge exchange and academic community building functions that have up to this point taken place side by side on Twitter.
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 […]
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?
