Stance detection on social media: State of the art and trends
Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …
and political applications in which sentiment analysis may be sub-optimal. There has been a …
A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
We can detect your bias: Predicting the political ideology of news articles
We explore the task of predicting the leading political ideology or bias of news articles. First,
we collect and release a large dataset of 34,737 articles that were manually annotated for …
we collect and release a large dataset of 34,737 articles that were manually annotated for …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Convolutional neural network with margin loss for fake news detection
The advent of online news platforms such as social media, news blogs, and online
newspapers in recent years and their facilitated features such as swift information flow, easy …
newspapers in recent years and their facilitated features such as swift information flow, easy …
POLITICS: Pretraining with same-story article comparison for ideology prediction and stance detection
Ideology is at the core of political science research. Yet, there still does not exist general-
purpose tools to characterize and predict ideology across different genres of text. To this …
purpose tools to characterize and predict ideology across different genres of text. To this …
Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs
This paper illustrates five different techniques to assess the distinctiveness of topics, key
terms and features, speed of information dissemination, and network behaviors for Covid19 …
terms and features, speed of information dissemination, and network behaviors for Covid19 …
[HTML][HTML] Social media polarization and echo chambers in the context of COVID-19: Case study
Background: Social media chatter in 2020 has been largely dominated by the COVID-19
pandemic. Existing research shows that COVID-19 discourse is highly politicized, with …
pandemic. Existing research shows that COVID-19 discourse is highly politicized, with …
Few-shot cross-lingual stance detection with sentiment-based pre-training
The goal of stance detection is to determine the viewpoint expressed in a piece of text
towards a target. These viewpoints or contexts are often expressed in many different …
towards a target. These viewpoints or contexts are often expressed in many different …
Retweet-bert: political leaning detection using language features and information diffusion on social networks
Estimating the political leanings of social media users is a challenging and ever more
pressing problem given the increase in social media consumption. We introduce Retweet …
pressing problem given the increase in social media consumption. We introduce Retweet …