activity
20172026
most citedUK General Election 2017: a Twitter Analysis

21 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Designing for Being-With: Presence Without Personhood in Conversational Human-AI Interaction

Hector Michael Fried, Robin Hill

Conversational AI systems increasingly generate social presence through linguistic fluency, emotional mirroring, and continuity across interactions. While these qualities can suppo…

cs.CL2021

Backtranslation Feedback Improves User Confidence in MT, Not Quality

Vilém Zouhar, Michal Novák, Matúš Žilinec +7

Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, bey…

cs.AI2020★ 1 cited

Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction

Alan Lindsay, Bart Craenen, Sara Dalzel-Job +2

Human interaction relies on a wide range of signals, including non-verbal cues. In order to develop effective Explainable Planning (XAIP) agents it is important that we understand…

cs.SI2018★ 6 cited

For Whom the Bell Trolls: Troll Behaviour in the Twitter Brexit Debate

Clare Llewellyn, Laura Cram, Adrian Favero +1

In a review into automated and malicious activity Twitter released a list of accounts that they believed were connected to state sponsored manipulation of the 2016 American Electio…

cs.SI2017★ 21 cited

UK General Election 2017: a Twitter Analysis

Laura Cram, Clare Llewellyn, Robin Hill +1

This work is produced by researchers at the Neuropolitics Research Lab, School of Social and Political Science and the School of Informatics at the University of Edinburgh. In this…