Tomaso Erseghe
Biographic Data
| ID | 77662 |
|---|---|
| NAME | Tomaso Erseghe |
| GIVEN NAMES | Tomaso |
| FAMILY NAME | Erseghe |
| SIGNATURE | ERSEGHE T |
| AFFILIATIONS | University of Padua |
| ORCID | 0000-0003-3060-2013 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Role of Agentic Language in Mobilizing Election Candidate Support
Agency, pertaining to planning and executing actions, is a core feature of the political landscape. Our study examines the temporal dynamics of agentic language in political online discourse during the 2020 U.S. Congressional Elections, spanning 180 days before and after Election Day, and before the Capitol Hill riots. We coded 495,252 messages posted by Democratic and Republican candidates on Twitter for agentic language, which was more prevalen…
The rise of #climateaction in the time of the FridaysForFuture movement
We investigate the psycho-linguistic features of the online discourse over climate change, focusing on its modifications throughout the years 2017–2019 as a result of collective actions emerging and spreading worldwide. We seek to understand the emerging connection between digital activism and the psychological processes related to its social drives. To this end, a semantic network is derived from the social platform Twitter, and its evolution is…
No prominent works on this page.
The rise of #climateaction in the time of the FridaysForFuture movement
We investigate the psycho-linguistic features of the online discourse over climate change, focusing on its modifications throughout the years 2017–2019 as a result of collective actions emerging and spreading worldwide. We seek to understand the emerging connection between digital activism and the psychological processes related to its social drives. To this end, a semantic network is derived from the social platform Twitter, and its evolution is…
The Role of Agentic Language in Mobilizing Election Candidate Support
Agency, pertaining to planning and executing actions, is a core feature of the political landscape. Our study examines the temporal dynamics of agentic language in political online discourse during the 2020 U.S. Congressional Elections, spanning 180 days before and after Election Day, and before the Capitol Hill riots. We coded 495,252 messages posted by Democratic and Republican candidates on Twitter for agentic language, which was more prevalen…
Political science (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Climate Change Communication and Perception (1 work) · Computer Science (1 work) · Empowerment (1 work) · Linguistics (1 work) · Multi-Agent Systems and Negotiation (1 work) · Politics (1 work) · Psychology (1 work)