TY  - JOUR
A1  - Biermann, Kaija
A1  - Nowak, Bianca
A1  - Braun, Lea-Marie
A1  - Taddicken, Monika
A1  - Krämer, Nicole C.
A1  - Stieglitz, Stefan
T1  - Does scientific evidence sell?
BT  - combining manual and automated content analysis to investigate scientists’ and laypeople’s evidence practices on social media
JF  - Science communication
N2  - Examining the dissemination of evidence on social media, we analyzed the discourse around eight visible scientists in the context of COVID-19. Using manual (N = 1,406) and automated coding (N = 42,640) on an account-based tracked Twitter/X dataset capturing scientists’ activities and eliciting reactions over six 2-week periods, we found that visible scientists’ tweets included more scientific evidence. However, public reactions contained more anecdotal evidence. Findings indicate that evidence can be a message characteristic leading to greater tweet dissemination. Implications for scientists, including explicitly incorporating scientific evidence in their communication and examining evidence in science communication research, are discussed.
KW  - evidence
KW  - public engagement
KW  - social media
KW  - COVID-19
KW  - computational methods
Y1  - 2024
U6  - https://doi.org/10.1177/10755470241249468
SN  - 1075-5470
SN  - 1552-8545
VL  - 0
PB  - Sage
CY  - Thousand Oaks, Calif.
ER  -