paper-with-me

Papers

Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts

2018-10-01 · WS 2018 10 · Maria Skeppstedt, Manfred Stede, Andreas Kerren

The occurrence of stance-taking towards vaccination was measured in documents extracted by topic modelling from two different corpora, one discussion forum corpus and one tweet corpus. For some of the topics extracted, their most closely associated documents contained a proportion of vaccine stance-taking texts that exceeded the corpus average by a large margin. These extracted document sets would, therefore, form a useful resource in a process for computer-assisted analysis of argumentation on the subject of vaccination.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Vaccine Discourse on Twitter During the COVID-19 Pandemic

2022-07-23 · Gabriel Lindelöf, Talayeh Aledavood, Barbara Keller

Since the onset of the COVID-19 pandemic, vaccines have been an important topic in public discourse. The discussions around vaccines are polarized as some see them as an important measure to end the pandemic, and others …

Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings

2021-04-02 · Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima 외

Social media plays a pivotal role in disseminating news globally and acts as a platform for people to express their opinions on various topics. A wide variety of views accompanies COVID-19 vaccination drives across the g…

Community DetectionMisinformationWord Embeddings

Dynamics and triggers of misinformation on vaccines

2022-07-25 · Emanuele Brugnoli, Marco Delmastro

The Covid-19 pandemic has sparked renewed attention on the prevalence of misinformation online, whether intentional or not, underscoring the potential risks posed to individuals' quality of life associated with the disse…

MisconceptionsMisinformationTime Series Analysis

ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination

2022-01-17 · LREC 2022 6 · Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, Firoj Alam

The emergence of the COVID-19 pandemic and the first global infodemic have changed our lives in many different ways. We relied on social media to get the latest information about the COVID-19 pandemic and at the same tim…

InformativenessStance Detection

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media

2022-05-06 · NAACL 2022 7 · Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter 외

Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data. Existing approaches have relied heavi…

Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisStance Detection