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 …
Tree lstms with convolution units to predict stance and rumor veracity in social media conversations
Learning from social-media conversations has gained significant attention recently because
of its applications in areas like rumor detection. In this research, we propose a new way to …
of its applications in areas like rumor detection. In this research, we propose a new way to …
Topical stance detection for Twitter: A two-phase LSTM model using attention
K Dey, R Shrivastava, S Kaushik - … Conference on IR Research, ECIR 2018 …, 2018 - Springer
The topical stance detection problem addresses detecting the stance of the text content with
respect to a given topic: whether the sentiment of the given text content is in favor of …
respect to a given topic: whether the sentiment of the given text content is in favor of …
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments
Stance detection is a relatively new concept in data mining that aims to assign a stance label
(favor, against, or none) to a social media post towards a specific pre-determined target …
(favor, against, or none) to a social media post towards a specific pre-determined target …
Identifying the adoption or rejection of misinformation targeting covid-19 vaccines in twitter discourse
M Weinzierl, S Harabagiu - Proceedings of the ACM Web Conference …, 2022 - dl.acm.org
Although billions of COVID-19 vaccines have been administered, too many people remain
hesitant. Misinformation about the COVID-19 vaccines, propagating on social media, is …
hesitant. Misinformation about the COVID-19 vaccines, propagating on social media, is …
Explainable cross-topic stance detection for search results
One way to help users navigate debated topics online is to apply stance detection in web
search. Automatically identifying whether search results are against, neutral, or in favor …
search. Automatically identifying whether search results are against, neutral, or in favor …
Stance detection: Concepts, approaches, resources, and outstanding issues
Stance detection (also known as stance classification and stance prediction) is a problem
related to social media analysis, natural language processing, and information retrieval …
related to social media analysis, natural language processing, and information retrieval …
A corpus of english-hindi code-mixed tweets for sarcasm detection
Social media platforms like twitter and facebook have be-come two of the largest mediums
used by people to express their views to-wards different topics. Generation of such large …
used by people to express their views to-wards different topics. Generation of such large …
Twitter stance detection—A subjectivity and sentiment polarity inspired two-phase approach
K Dey, R Shrivastava, S Kaushik - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
The problem of stance detection from Twitter tweets, has recently gained significant research
attention. This paper addresses the problem of detecting the stance of given tweets, with …
attention. This paper addresses the problem of detecting the stance of given tweets, with …