Scientists Joking on Social Media: An Empirical Analysis of #overlyhonestmethods

Autor:	David Lassen, Molly Simis-Wilkinson, Michael A. Xenos, Dominique Brossard, Dietram A. Scheufele, Haley Madden, Leona Yi-Fan Su
Rok vydání:	2018
Předmět:	0508 media and communications Sociology and Political Science Work (electrical) 05 social sciences Media studies Science communication 050801 communication & media studies Social media Sociology 0509 other social sciences Space (commercial competition) 050905 science studies
Zdroj:	Science Communication. 40:314-339
ISSN:	1552-8545 1075-5470
DOI:	10.1177/1075547018766557
Popis:	The #overlyhonestmethods trend on Twitter is a space used by many scientists to peel back the curtain on their work and share observations and insights into the research world. We employ computer-assisted coding to assess the themes of 58,125 #overlyhonestmethods posts from January 7, 2013—the hashtag’s inception—to January 6, 2016. We additionally manually code a random sample of the census of tweets to evaluate the types of humor employed, as well as the targets of jokes and exclusivity of language. We offer analyses of this self-deprecating, insider conversation and an assessment of the associated ethical implications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5c369c26fb8ba53fda6cc31f1ba2e41d https://doi.org/10.1177/1075547018766557 Zobrazit plný text záznamu