%0 Journal Article
%T Scientists Joking on Social Media: An Empirical Analysis of #overlyhonestmethods
%A David Lassen
%A Dietram A. Scheufele
%A Dominique Brossard
%A Haley Madden
%A Leona Yi-Fan Su
%A Michael A. Xenos
%A Molly Simis-Wilkinson
%J Science Communication
%@ 1552-8545
%D 2018
%R 10.1177/1075547018766557
%X 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¡ªthe hashtag¡¯s inception¡ªto 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
%K science communication
%K social media
%K Twitter
%K humor
%K benign violation theory
%U https://journals.sagepub.com/doi/full/10.1177/1075547018766557