Using Social Media to Maximize the Research Impact of Surgeons: Exploratory Linguistic Analysis
Samuel Berding, Emilie Green, Ania I Rynarzewska, Shane S Robinson, Nelson A Royall, Terence Jackson, Stefano Brini · 2026
Read Using Social Media to Maximize the Research Impact of Surgeons: Exploratory Linguistic Analysis by Samuel Berding, Emilie Green, Ania I Rynarzewska, Shane S Robinson, Nelson A Royall, Terence Jackson, Stefano Brini (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13240988.txt.
Description
Berding's team in Georgia dissected the language of surgeons' posts sharing research on the platform formerly called Twitter. Eighty-four posts came from 17 of the most-followed surgeon accounts. Software scored each post for analytic style, clout, tone, and authenticity. Readership and citation counts supplied the impact measures.
The posts skewed highly analytic but low in warmth and authenticity. Formal, analytic wording tracked with fewer readers and citations, not more. Confident clout helped readership, and a negative tone surprisingly raised impact. Whether the linked article was open access made no significant difference.
Catalog record
| CREATOR | Samuel Berding, Emilie Green, Ania I Rynarzewska, Shane S Robinson, Nelson A Royall, Terence Jackson, Stefano Brini |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |