Yashasvi Koul,Kanishk Mamgain,Ankit Gupta
Yashasvi Koul
Social media has become such a large part of people's life that even if little at a time, that influence can accommodate over time and can manipulate or even form new opinions. The authors have gathered data with which it is easily understo...
Investigating political polarization in India through the lens of Twitter [0.03%]
通过分析推特探究印度的政治极端化问题
Anindita Borah,Sanasam Ranbir Singh
Anindita Borah
Social media plays a pivotal role in shaping communication among political entities. Substantial research has been carried out for examining the impact of politicians' social media usage and interactions on political polarization. Analysing...
Mining and modelling temporal dynamics of followers' engagement on online social networks [0.03%]
微博用户对博主微博的参与行为及其量化研究
Luca Vassio,Michele Garetto,Emilio Leonardi et al.
Luca Vassio et al.
A relevant fraction of human interactions occurs on online social networks. In this context, the freshness of content plays an important role, with content popularity rapidly vanishing over time. We therefore investigate how influencers' ge...
Applications of machine learning for COVID-19 misinformation: a systematic review [0.03%]
机器学习在应对新冠疫情错误信息方面的应用：系统综述研究
A R Sanaullah,Anupam Das,Anik Das et al.
A R Sanaullah et al.
The inflammable growth of misinformation on social media and other platforms during pandemic situations like COVID-19 can cause significant damage to the physical and mental stability of the people. To detect such misinformation, researcher...
Dionysios Karamouzas,Ioannis Mademlis,Ioannis Pitas
Dionysios Karamouzas
The high popularity of Twitter renders it an excellent tool for political research, while opinion mining through semantic analysis of individual tweets has proven valuable. However, exploiting relevant scientific advances for collective ana...
Fighting hate speech from bilingual hinglish speaker's perspective, a transformer- and translation-based approach [0.03%]
从双语 Hindi-English 讲者的角度对抗仇恨言论，一种基于变压器和翻译的方法
Shankar Biradar,Sunil Saumya,Arun Chauhan
Shankar Biradar
Many people have begun to use social media platforms due to the increased use of the Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks and drawbacks, such as Hate speech. People in multilingu...
An effective short-text topic modelling with neighbourhood assistance-driven NMF in Twitter [0.03%]
一种基于邻域促进NMF的Twitter短文本主题模型方法
Shalani Athukorala,Wathsala Mohotti
Shalani Athukorala
Social media such as Twitter connect billions of people by allowing them to exchange their thoughts via short-text communication. Topic modelling is a widely used technique for analysing short texts. Discovering topic clusters in short-text...
Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak [0.03%]
新冠肺炎疫情期间基于公众情绪的股市预测研究
Nabanita Das,Bikash Sadhukhan,Tanusree Chatterjee et al.
Nabanita Das et al.
Forecasting the stock market is one of the most difficult undertakings in the financial industry due to its complex, volatile, noisy, and nonparametric character. However, as computer science advances, an intelligent model can help investor...
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media [0.03%]
基于深度学习的主题和情感分析：社交媒体上的COVID19信息检索
Md Abul Bashar,Richi Nayak,Thirunavukarasu Balasubramaniam
Md Abul Bashar
Social media platforms have become a common place for information exchange among their users. People leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time...
Favorite YouTubers as a source of health information during quarantine: viewers trust their favorite YouTubers with health information [0.03%]
隔离期间最喜欢的油管博主作为健康信息来源：观众信任他们最喜欢的油管博主提供的健康信息
Pierre de Bérail,Catherine Bungener
Pierre de Bérail
During quarantine, between March and May 2020, YouTubers disseminated information about Covid-19 and the quarantine. The objectives of this study are (1) to explore whether YouTubers are considered as reliable sources of information regardi...