Journal ArticleDOI
Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stefan Stieglitz,Linh Dang-Xuan +1 more
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TLDR
It is found that emotionally charged Twitter messages tend to be retweeted more often and more quickly compared to neutral ones, and companies should pay more attention to the analysis of sentiment related to their brands and products in social media communication as well as in designing advertising content that triggers emotions.Abstract:
As a new communication paradigm, social media has promoted information dissemination in social networks. Previous research has identified several content-related features as well as user and network characteristics that may drive information diffusion. However, little research has focused on the relationship between emotions and information diffusion in a social media setting. In this paper, we examine whether sentiment occurring in social media content is associated with a user's information sharing behavior. We carry out our research in the context of political communication on Twitter. Based on two data sets of more than 165,000 tweets in total, we find that emotionally charged Twitter messages tend to be retweeted more often and more quickly compared to neutral ones. As a practical implication, companies should pay more attention to the analysis of sentiment related to their brands and products in social media communication as well as in designing advertising content that triggers emotions.read more
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Journal ArticleDOI
Advances in Social Media Research: Past, Present and Future
Kawaljeet Kaur Kapoor,Kuttimani Tamilmani,Nripendra P. Rana,Pushp P. Patil,Yogesh K. Dwivedi,Sridhar P. Nerur +5 more
TL;DR: The integrated view of the extant literature that the study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field of social media research.
Journal ArticleDOI
Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success:
TL;DR: In this paper, the authors draw on information economics to examine when signals and endorsements obtained from multiple information sources enhance or diminish one another's effects, and propose that signals from different information sources can have different effects.
Journal ArticleDOI
The age of Twitter: Donald J. Trump and the politics of debasement
TL;DR: The authors explores the changing character of public discourse in the Age of Twitter and highlights how Twitter privileges discourse that is simple, impulsive, and uncivil, and concludes with a brief reflection on the end times: a posttruth, post-news, President Trump, Twitter-world.
Journal ArticleDOI
Predicting the performance of online consumer reviews
Mohammad Salehan,Dan Jong Kim +1 more
TL;DR: The findings show that reviews with higher levels of positive sentiment in the title receive more readerships and sentiment mining approach for big data analytics can be adopted by online vendors to develop scalable automated systems for sorting and classification of big OCR data which will benefit both vendors and consumers.
Journal ArticleDOI
Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research
TL;DR: In this article, the authors proposed a novel analytical framework (Twitter Analytics) for analyzing supply chain tweets, highlighting the current use of Twitter in supply chain contexts, and further developing insights into the potential role of Twitter for supply chain practice and research.
References
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