Deep learning-based credibility conversation detection approaches from social network [0.03%]
基于深度学习的社交网络可信对话检测方法
Imen Fadhli,Lobna Hlaoua,Mohamed Nazih Omri
Imen Fadhli
In recent years, the social networks that have become most exploited sources of information, such as Facebook, Instagram, LinkedIn, and Twitter, have been considered the main sources of non-credible information. False information on these s...
Ana Rita Peixoto,Ana de Almeida,Nuno António et al.
Ana Rita Peixoto et al.
Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups' content and to understand how their ...
Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary [0.03%]
2020年美国民主党总统候选人竞选期间推特上的性别动态分析
Catherine King,Kathleen M Carley
Catherine King
The Twitter social network for each of the top five U.S. Democratic presidential candidates in 2020 was analyzed to determine if there were any differences in the treatment of the candidates. This data set was collected from discussions of ...
An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic [0.03%]
基于NLP的Bayesian时间序列分析：COVID-19大流行期间Twitter网络欺凌的流行率
Christopher Perez,Sayar Karmakar
Christopher Perez
COVID-19 has brought about many changes in social dynamics. Stay-at-home orders and disruptions in school teaching can influence bullying behavior in-person and online, both of which leading to negative outcomes in victims. To study cyberbu...
Go vegan! digital influence and social media use in the purchase intention of vegan products in the cosmetics industry [0.03%]
影响消费者购买素食化妆品意愿的数字媒体因素研究
Rennan Carvalho Dos Santos,Marianny Jessica de Brito Silva,Marconi Freitas da Costa et al.
Rennan Carvalho Dos Santos et al.
Social media have expanded the exposure of vegan consumption decisions and practices through the greater reach of opinions issued digitally by individuals concerned about ethical and environmental issues. Some of these people have reached c...
Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case [0.03%]
新冠肺炎疫情后约旦教育推文的情感分析和情绪检测
Evon Qaqish,Aseel Aranki,Wael Etaiwi
Evon Qaqish
Education evolved dramatically under Covid-19, and owing to the conditions, distant learning became mandatory. However, this has opened new realities to the educational business under the label of "Hybrid-Learning," where educational instit...
Fake news, disinformation and misinformation in social media: a review [0.03%]
社交媒体中的假新闻、错误信息和虚假信息：综述
Esma Aïmeur,Sabrine Amri,Gilles Brassard
Esma Aïmeur
Online social networks (OSNs) are rapidly growing and have become a huge source of all kinds of global and local news for millions of users. However, OSNs are a double-edged sword. Although the great advantages they offer such as unlimited ...
Nuclear energy: Twitter data mining for social listening analysis [0.03%]
基于Twitter数据挖掘的社会感知分析——以核能为例
Enara Zarrabeitia-Bilbao,Maite Jaca-Madariaga,Rosa María Rio-Belver et al.
Enara Zarrabeitia-Bilbao et al.
Knowing the presence, attitude and sentiment of society is important to promote policies and actions that influence the development of different energy sources and even more so in the case of an energy source such as nuclear, which has not ...
An employee retention model using organizational network analysis for voluntary turnover [0.03%]
基于组织网络分析的员工离职保留模型
Sundus Younis,Ali Ahsan,Fiona M Chatteur
Sundus Younis
Contemporary research of employee social network analysis has grown far beyond the conventional wisdom of network and turnover theory; however, what is missing is a comprehensive review highlighting new perspectives and network constructs f...