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During broadcast events such as the Superbowl, the U.S. Presidential and Primary debates, etc., Twitter has become the de facto platform for crowds to share perspectives and commentaries about them. Given an event and an associated…

社会与信息网络 · 计算机科学 2012-12-24 Yuheng Hu , Ajita John , Fei Wang , Subbarao Kambhampati

Characterising the spreading of ideas within echo chambers is essential for understanding polarisation. In this paper, we explore the characteristics of popular and viral content in climate change discussions on Twitter around the 2019…

社会与信息网络 · 计算机科学 2021-08-31 Yan Xia , Ted Hsuan Yun Chen , Mikko Kivelä

Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are…

社会与信息网络 · 计算机科学 2023-06-22 Mariam Adedoyin-Olowe , Mohamed Medhat Gaber , Frederic Stahl

Social media platforms shape climate action discourse. Mapping these online conversations is essential for effective communication strategies. TikTok's climate discussions are particularly relevant given its young, climate-concerned…

社会与信息网络 · 计算机科学 2025-05-08 Alessia Galdeman , Luca Maria Aiello

In recent years researchers have gravitated to social media platforms, especially Twitter, as fertile ground for empirical analysis of social phenomena. Social media provides researchers access to trace data of interactions and discourse…

物理与社会 · 物理学 2023-01-05 Peter Cihon , Taha Yasseri

Since internet technologies have advanced, one of the primary factors in company development is customer happiness. Online platforms have become prominent places for sharing reviews. Twitter is one of these platforms where customers…

机器学习 · 计算机科学 2024-08-31 Md Mahmudul Hasan , Shaikh Anowarul Fattah

Opinions are an integral part of how we perceive the world and each other. They shape collective action, playing a role in democratic processes, the evolution of norms, and cultural change. For decades, researchers in the social and natural…

物理与社会 · 物理学 2022-12-21 Antonio F. Peralta , János Kertész , Gerardo Iñiguez

This paper studies users' perception regarding a controversial product, namely self-driving (autonomous) cars. To find people's opinion regarding this new technology, we used an annotated Twitter dataset, and extracted the topics in…

机器学习 · 计算机科学 2018-04-12 Rizwan Sadiq , Mohsin Khan

We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset of tweets to which we apply three sentiment scoring…

社会与信息网络 · 计算机科学 2016-04-13 Nathaniel Charlton , Colin Singleton , Danica Vukadinović Greetham

Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The…

计算与语言 · 计算机科学 2022-02-03 Anh Duc Le

Social media streams contain large and diverse amount of information, ranging from daily-life stories to the latest global and local events and news. Twitter, especially, allows a fast spread of events happening real time, and enables…

社会与信息网络 · 计算机科学 2023-06-30 Quanzhi Li , Yang Chao , Dong Li , Yao Lu , Chi Zhang

Analysing multilingual social media discourse remains a major challenge in natural language processing, particularly when large-scale public debates span across diverse languages. This study investigates how different approaches for…

计算与语言 · 计算机科学 2026-02-20 Deepak Uniyal , Md Abul Bashar , Richi Nayak

This paper analyses social media data in multiple disaster-related collections of floods and heat waves in the UK. The proposed method uses machine learning classifiers based on deep bidirectional neural networks trained on benchmark…

社会与信息网络 · 计算机科学 2022-03-17 Victor Ponce-López , Catalina Spataru

In recent years, multimodal natural language processing, aimed at learning from diverse data types, has garnered significant attention. However, there needs to be more clarity when it comes to analysing multimodal tasks in multi-lingual…

计算与语言 · 计算机科学 2024-06-13 Gaurish Thakkar , Sherzod Hakimov , Marko Tadić

Climate change demands effective legislative action to mitigate its impacts. This study explores the application of machine learning (ML) to understand the progression of climate policy from announcement to adoption, focusing on policies…

Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for…

社会与信息网络 · 计算机科学 2018-07-17 Xin Zheng , Jialong Han , Aixin Sun

The rise of Large Language Models (LLMs) has raised questions about their ability to understand climate-related contexts. Though climate change dominates social media, analyzing its multimodal expressions is understudied, and current tools…

计算与语言 · 计算机科学 2025-04-08 Abhilekh Borah , Hasnat Md Abdullah , Kangda Wei , Ruihong Huang

Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often update their opinions about a particular topic by learning from the opinions…

社会与信息网络 · 计算机科学 2016-05-25 Abir De , Isabel Valera , Niloy Ganguly , Sourangshu Bhattacharya , Manuel Gomez Rodriguez

Micro-blogging systems such as Twitter expose digital traces of social discourse with an unprecedented degree of resolution of individual behaviors. They offer an opportunity to investigate how a large-scale social system responds to…

社会与信息网络 · 计算机科学 2012-04-24 Janette Lehmann , Bruno Gonçalves , José J. Ramasco , Ciro Cattuto

Twitter is among the most prevalent social media platform being used by millions of people all over the world. It is used to express ideas and opinions about political, social, business, sports, health, religion, and various other…

计算与语言 · 计算机科学 2021-12-07 Khubaib Ahmed Qureshi