Similarity-based clustering and temporal visualisation of tweets for detecting disinformation narratives: DiLCo Methods Day 2022 (7 October) : Digital language variation in context (DiLCo)
Regionales Rechenzentrum der Universität Hamburg/ MCC/ Lecture2Go
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2022
Medientyp:
Audiovisuell
Schlagworte:
DiLCo
NLP
social networks
disinformation
Sprache, Literatur, Medien (SLM I + II)
Beschreibung:
Social networks became an important public arena in which discourse positions seek political hegemony. Especially for crisis-related issues such as the Covid-19 pandemic or the Russian war in Ukraine and its impact on other nations, certain discourse positions (mostly at the far right of the political spectrum) are massively backed by the spread of disinformation posts that get shared across platforms. In this talk, I will demonstrate a method to detect and trace narrative patterns in Twitter posts concerning the conspiracy theory of US-financed labs for biological warfare in Ukraine. The method employs transformer-based sentence embeddings for the creation of tweet similarity networks that can reveal distinct events as well as the constant repeat of background knowledge for creating a disinformation narrative. DiLCo Methods Day 2022 - Natural language processing for digital language DiLCo organised a "Methods Day " on computational and quantitative analysis of born-digital language. The workshop targets linguists and also other students and researchers from the humanities and beyond who want to broaden their methodological skills. Three lectures will introduce current innovative techniques of meaning representation, social media data collection and analysis.
