TY  - JOUR
A1  - Schäfer, Robin
A1  - Stede, Manfred
T1  - Argument mining on twitter
BT  - a survey
JF  - Information technology : it ; Methoden und innovative Anwendungen der Informatik und Informationstechnik ; Organ der Fachbereiche 3 und 4 der GI e.V. und des Fachbereichs 6 der ITG
N2  - In the last decade, the field of argument mining has grown notably. However, only relatively few studies have investigated argumentation in social media and specifically on Twitter. Here, we provide the, to our knowledge, first critical in-depth survey of the state of the art in tweet-based argument mining. We discuss approaches to modelling the structure of arguments in the context of tweet corpus annotation, and we review current progress in the task of detecting argument components and their relations in tweets. We also survey the intersection of argument mining and stance detection, before we conclude with an outlook.
KW  - Argument Mining
KW  - Twitter
KW  - Stance Detection
Y1  - 2021
U6  - https://doi.org/10.1515/itit-2020-0053
SN  - 1611-2776
SN  - 2196-7032
VL  - 63
IS  - 1
SP  - 45
EP  - 58
PB  - De Gruyter
CY  - Berlin
ER  -